Class CommonOps_FDRM
- java.lang.Object
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- org.ejml.dense.row.CommonOps_FDRM
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public class CommonOps_FDRM extends java.lang.ObjectCommon matrix operations are contained here. Which specific underlying algorithm is used is not specified just the out come of the operation. Nor should calls to these functions reply on the underlying implementation. Which algorithm is used can depend on the matrix being passed in.
For more exotic and specialized generic operations see
SpecializedOps_FDRM.
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Constructor Summary
Constructors Constructor Description CommonOps_FDRM()
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static voidabs(org.ejml.data.FMatrixD1 a)Performs absolute value of a matrix:
a = abs(a)
aij = abs(aij)static voidabs(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 c)Performs absolute value of a matrix:
c = abs(a)
cij = abs(aij)static voidadd(float alpha, org.ejml.data.FMatrixD1 a, float beta, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = α * a + β * b
cij = α * aij + β * bijstatic voidadd(float alpha, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = α * a + b
cij = α * aij + bijstatic voidadd(org.ejml.data.FMatrixD1 a, float val)Performs an in-place scalar addition:
a = a + val
aij = aij + valstatic voidadd(org.ejml.data.FMatrixD1 a, float val, org.ejml.data.FMatrixD1 c)Performs scalar addition:
c = a + val
cij = aij + valstatic voidadd(org.ejml.data.FMatrixD1 a, float beta, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = a + β * b
cij = aij + β * bijstatic voidadd(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = a + b
cij = aij + bijstatic voidaddEquals(org.ejml.data.FMatrixD1 a, float beta, org.ejml.data.FMatrixD1 b)Performs the following operation:
a = a + β * b
aij = aij + β * bijstatic voidaddEquals(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the following operation:
a = a + b
aij = aij + bijstatic voidchangeSign(org.ejml.data.FMatrixD1 a)Changes the sign of every element in the matrix.
aij = -aijstatic <T extends org.ejml.data.FMatrixD1>
TchangeSign(T input, T output)Changes the sign of every element in the matrix.
outputij = -inputijstatic org.ejml.data.FMatrixRMaj[]columnsToVector(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj[] v)Converts the columns in a matrix into a set of vectors.static voidconcatColumns(org.ejml.data.FMatrixRMaj a, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj output)output = [a , b]static org.ejml.data.FMatrixRMajconcatColumnsMulti(org.ejml.data.FMatrixRMaj... m)Concatinates all the matrices together along their columns.static voidconcatRows(org.ejml.data.FMatrixRMaj a, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj output)output = [a ; b]static org.ejml.data.FMatrixRMajconcatRowsMulti(org.ejml.data.FMatrixRMaj... m)Concatinates all the matrices together along their columns.static intcountTrue(org.ejml.data.BMatrixRMaj A)Counts the number of elements in A which are truestatic floatdet(org.ejml.data.FMatrixRMaj mat)Returns the determinant of the matrix.static org.ejml.data.FMatrixRMajdiag(float... diagEl)Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero.
aij = 0 if i ≤ j
aij = diag[i] if i = jstatic org.ejml.data.FMatrixRMajdiag(org.ejml.data.FMatrixRMaj ret, int width, float... diagEl)static org.ejml.data.FMatrixRMajdiagR(int numRows, int numCols, float... diagEl)Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero.
aij = 0 if i ≤ j
aij = diag[i] if i = jstatic voiddivide(float alpha, org.ejml.data.FMatrixD1 a)Performs an in-place element by element scalar division with the scalar on top.
aij = α/aijstatic voiddivide(float alpha, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs an element by element scalar division with the scalar on top.
bij = α/aijstatic voiddivide(org.ejml.data.FMatrixD1 a, float alpha)Performs an in-place element by element scalar division with the scalar on bottom.
aij = aij/αstatic voiddivide(org.ejml.data.FMatrixD1 a, float alpha, org.ejml.data.FMatrixD1 b)Performs an element by element scalar division with the scalar on botton.
bij = aij /αstatic voiddivideCols(org.ejml.data.FMatrixRMaj A, float[] values)Divides every element in column i by value[i].static voiddivideRows(float[] values, org.ejml.data.FMatrixRMaj A)Divides every element in row i by value[i].static voiddivideRowsCols(float[] diagA, int offsetA, org.ejml.data.FMatrixRMaj B, float[] diagC, int offsetC)Equivalent to multiplying a matrix B by the inverse of two diagonal matrices.static floatdot(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Computes the dot product or inner product between two vectors.static voidelementDiv(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the an element by element division operation:
aij = aij / bijstatic voidelementDiv(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the an element by element division operation:
cij = aij / bijstatic voidelementExp(org.ejml.data.FMatrixD1 A, org.ejml.data.FMatrixD1 C)Element-wise exp operation
cij = (float)Math.log(aij)static org.ejml.data.BMatrixRMajelementLessThan(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the > operator to each element in A.static org.ejml.data.BMatrixRMajelementLessThan(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj B, org.ejml.data.BMatrixRMaj output)Applies the < operator to each element in A.static org.ejml.data.BMatrixRMajelementLessThanOrEqual(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the ≥ operator to each element in A.static org.ejml.data.BMatrixRMajelementLessThanOrEqual(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj B, org.ejml.data.BMatrixRMaj output)Applies the A ≤ B operator to each element.static voidelementLog(org.ejml.data.FMatrixD1 A, org.ejml.data.FMatrixD1 C)Element-wise log operation
cij = (float)Math.log(aij)static floatelementMax(org.ejml.data.FMatrixD1 a)Returns the value of the element in the matrix that has the largest value.
Max{ aij } for all i and jstatic floatelementMaxAbs(org.ejml.data.FMatrixD1 a)Returns the absolute value of the element in the matrix that has the largest absolute value.
Max{ |aij| } for all i and jstatic floatelementMin(org.ejml.data.FMatrixD1 a)Returns the value of the element in the matrix that has the minimum value.
Min{ aij } for all i and jstatic floatelementMinAbs(org.ejml.data.FMatrixD1 a)Returns the absolute value of the element in the matrix that has the smallest absolute value.
Min{ |aij| } for all i and jstatic org.ejml.data.BMatrixRMajelementMoreThan(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the > operator to each element in A.static org.ejml.data.BMatrixRMajelementMoreThanOrEqual(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the ≥ operator to each element in A.static voidelementMult(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the an element by element multiplication operation:
aij = aij * bijstatic voidelementMult(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the an element by element multiplication operation:
cij = aij * bijstatic voidelementPower(float a, org.ejml.data.FMatrixD1 B, org.ejml.data.FMatrixD1 C)Element-wise power operation
cij = a ^ bijstatic voidelementPower(org.ejml.data.FMatrixD1 A, float b, org.ejml.data.FMatrixD1 C)Element-wise power operation
cij = aij ^ bstatic voidelementPower(org.ejml.data.FMatrixD1 A, org.ejml.data.FMatrixD1 B, org.ejml.data.FMatrixD1 C)Element-wise power operation
cij = aij ^ bijstatic org.ejml.data.FMatrixRMajelements(org.ejml.data.FMatrixRMaj A, org.ejml.data.BMatrixRMaj marked, org.ejml.data.FMatrixRMaj output)Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'static floatelementSum(org.ejml.data.FMatrixD1 mat)Computes the sum of all the elements in the matrix:
sum(i=1:m , j=1:n ; aij)static floatelementSumAbs(org.ejml.data.FMatrixD1 mat)Computes the sum of the absolute value all the elements in the matrix:
sum(i=1:m , j=1:n ; |aij|)static voidextract(org.ejml.data.FMatrix src, int srcY0, int srcY1, int srcX0, int srcX1, org.ejml.data.FMatrix dst)Extract where the destination is reshaped to match the extracted regionstatic voidextract(org.ejml.data.FMatrix src, int srcY0, int srcY1, int srcX0, int srcX1, org.ejml.data.FMatrix dst, int dstY0, int dstX0)Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.static voidextract(org.ejml.data.FMatrix src, int srcY0, int srcX0, org.ejml.data.FMatrix dst)Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.static voidextract(org.ejml.data.FMatrixRMaj src, int[] rows, int rowsSize, int[] cols, int colsSize, org.ejml.data.FMatrixRMaj dst)Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array listsstatic voidextract(org.ejml.data.FMatrixRMaj src, int[] indexes, int length, org.ejml.data.FMatrixRMaj dst)Extracts the elements from the source matrix by their 1D index.static org.ejml.data.FMatrixRMajextract(org.ejml.data.FMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)Creates a new matrix which is the specified submatrix of 'src'static org.ejml.data.FMatrixRMajextractColumn(org.ejml.data.FMatrixRMaj a, int column, org.ejml.data.FMatrixRMaj out)Extracts the column from a matrix.static voidextractDiag(org.ejml.data.FMatrixRMaj src, org.ejml.data.FMatrixRMaj dst)Extracts the diagonal elements 'src' write it to the 'dst' vector.static org.ejml.data.FMatrixRMajextractRow(org.ejml.data.FMatrixRMaj a, int row, org.ejml.data.FMatrixRMaj out)Extracts the row from a matrix.static voidfill(org.ejml.data.FMatrixD1 a, float value)Sets every element in the matrix to the specified value.
aij = valuestatic org.ejml.data.FMatrixRMajidentity(int width)Creates an identity matrix of the specified size.
aij = 0 if i ≠ j
aij = 1 if i = jstatic org.ejml.data.FMatrixRMajidentity(int numRows, int numCols)Creates a rectangular matrix which is zero except along the diagonals.static voidinsert(org.ejml.data.FMatrixRMaj src, org.ejml.data.FMatrixRMaj dst, int[] rows, int rowsSize, int[] cols, int colsSize)Inserts into the specified elements of dst the source matrix.static voidinsert(org.ejml.data.FMatrix src, org.ejml.data.FMatrix dest, int destY0, int destX0)Inserts matrix 'src' into matrix 'dest' with the (0,0) of src at (row,col) in dest.static booleaninvert(org.ejml.data.FMatrixRMaj mat)Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix.
a = a-1static booleaninvert(org.ejml.data.FMatrixRMaj mat, org.ejml.data.FMatrixRMaj result)Performs a matrix inversion operation that does not modify the original and stores the results in another matrix.static booleaninvertSPD(org.ejml.data.FMatrixRMaj mat, org.ejml.data.FMatrixRMaj result)Matrix inverse for symmetric positive definite matrices.static voidkron(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj B, org.ejml.data.FMatrixRMaj C)The Kronecker product of two matrices is defined as:
Cij = aijB
where Cij is a sub matrix inside of C ∈ ℜ m*k × n*l, A ∈ ℜ m × n, and B ∈ ℜ k × l.static org.ejml.data.FMatrixRMajmaxCols(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the minimum value along column in the input matrix and returns the results in a vector:
bj = min(i=1:m ; aij)static org.ejml.data.FMatrixRMajmaxRows(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the maximum value along each row in the input matrix and returns the results in a vector:
bj = max(i=1:n ; aji)static org.ejml.data.FMatrixRMajminCols(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the minimum value along column in the input matrix and returns the results in a vector:
bj = min(i=1:m ; aij)static org.ejml.data.FMatrixRMajminRows(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the minimum value along each row in the input matrix and returns the results in a vector:
bj = min(i=1:n ; aji)static voidmult(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * a * b
cij = α ∑k=1:n { * aik * bkj}static voidmult(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = a * b
cij = ∑k=1:n { aik * bkj}static voidmultAdd(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * a * b
cij = cij + α * ∑k=1:n { aik * bkj}static voidmultAdd(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + a * b
cij = cij + ∑k=1:n { aik * bkj}static voidmultAddTransA(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * aT * b
cij =cij + α * ∑k=1:n { aki * bkj}static voidmultAddTransA(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + aT * b
cij = cij + ∑k=1:n { aki * bkj}static voidmultAddTransAB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * aT * bT
cij = cij + α * ∑k=1:n { aki * bjk}static voidmultAddTransAB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + aT * bT
cij = cij + ∑k=1:n { aki * bjk}static voidmultAddTransB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * a * bT
cij = cij + α * ∑k=1:n { aik * bjk}static voidmultAddTransB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + a * bT
cij = cij + ∑k=1:n { aik * bjk}static voidmultCols(org.ejml.data.FMatrixRMaj A, float[] values)Multiplies every element in column i by value[i].static voidmultInner(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row c)Computes the matrix multiplication inner product:
c = aT * a
cij = ∑k=1:n { aki * akj}static voidmultOuter(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row c)Computes the matrix multiplication outer product:
c = a * aT
cij = ∑k=1:m { aik * ajk}static voidmultRows(float[] values, org.ejml.data.FMatrixRMaj A)Multiplies every element in row i by value[i].static voidmultTransA(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * aT * b
cij = α ∑k=1:n { aki * bkj}static voidmultTransA(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = aT * b
cij = ∑k=1:n { aki * bkj}static voidmultTransAB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * aT * bT
cij = α ∑k=1:n { aki * bjk}static voidmultTransAB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = aT * bT
cij = ∑k=1:n { aki * bjk}static voidmultTransB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * a * bT
cij = α ∑k=1:n { aik * bjk}static voidmultTransB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = a * bT
cij = ∑k=1:n { aik * bjk}static org.ejml.data.FMatrixRMajpermuteRowInv(int[] pinv, org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix.static voidpinv(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj invA)Computes the Moore-Penrose pseudo-inverse:
pinv(A) = (ATA)-1 AT
or
pinv(A) = AT(AAT)-1static voidremoveColumns(org.ejml.data.FMatrixRMaj A, int col0, int col1)Removes columns from the matrix.static org.ejml.data.FMatrixRMaj[]rowsToVector(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj[] v)Converts the rows in a matrix into a set of vectors.static org.ejml.data.FMatrixRMajrref(org.ejml.data.FMatrixRMaj A, int numUnknowns, org.ejml.data.FMatrixRMaj reduced)Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots.static voidscale(float alpha, org.ejml.data.FMatrixD1 a)Performs an in-place element by element scalar multiplication.
aij = α*aijstatic voidscale(float alpha, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs an element by element scalar multiplication.
bij = α*aijstatic voidscaleCol(float alpha, org.ejml.data.FMatrixRMaj A, int col)In-place scaling of a column in Astatic voidscaleRow(float alpha, org.ejml.data.FMatrixRMaj A, int row)In-place scaling of a row in Astatic voidsetIdentity(org.ejml.data.FMatrix1Row mat)Sets all the diagonal elements equal to one and everything else equal to zero.static booleansolve(org.ejml.data.FMatrixRMaj a, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj x)Solves for x in the following equation:
A*x = bstatic booleansolveSPD(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj x)Linear solver for systems which are symmetric positive definite.
A*x = bstatic voidsubtract(float val, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 c)Performs matrix scalar subtraction:
c = val - a
cij = val - aijstatic voidsubtract(org.ejml.data.FMatrixD1 a, float val, org.ejml.data.FMatrixD1 c)Performs matrix scalar subtraction:
c = a - val
cij = aij - valstatic voidsubtract(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following subtraction operation:
c = a - b
cij = aij - bijstatic voidsubtractEquals(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the following subtraction operation:
a = a - b
aij = aij - bijstatic org.ejml.data.FMatrixRMajsumCols(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Computes the sum of each column in the input matrix and returns the results in a vector:
bj = sum(i=1:m ; aij)static org.ejml.data.FMatrixRMajsumRows(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Computes the sum of each row in the input matrix and returns the results in a vector:
bj = sum(i=1:n ; aji)static voidsymmLowerToFull(org.ejml.data.FMatrixRMaj A)Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.static voidsymmUpperToFull(org.ejml.data.FMatrixRMaj A)Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.static floattrace(org.ejml.data.FMatrix1Row a)This computes the trace of the matrix:
trace = ∑i=1:n { aii }
where n = min(numRows,numCols)static voidtranspose(org.ejml.data.FMatrixRMaj mat)Performs an "in-place" transpose.static org.ejml.data.FMatrixRMajtranspose(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj A_tran)Transposes matrix 'a' and stores the results in 'b':
bij = aji
where 'b' is the transpose of 'a'.
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Method Detail
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mult
public static void mult(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = a * b
cij = ∑k=1:n { aik * bkj}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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mult
public static void mult(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * a * b
cij = α ∑k=1:n { * aik * bkj}- Parameters:
alpha- Scaling factor.a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multTransA
public static void multTransA(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = aT * b
cij = ∑k=1:n { aki * bkj}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multTransA
public static void multTransA(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * aT * b
cij = α ∑k=1:n { aki * bkj}- Parameters:
alpha- Scaling factor.a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multTransB
public static void multTransB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = a * bT
cij = ∑k=1:n { aik * bjk}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multTransB
public static void multTransB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * a * bT
cij = α ∑k=1:n { aik * bjk}- Parameters:
alpha- Scaling factor.a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multTransAB
public static void multTransAB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = aT * bT
cij = ∑k=1:n { aki * bjk}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multTransAB
public static void multTransAB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = α * aT * bT
cij = α ∑k=1:n { aki * bjk}- Parameters:
alpha- Scaling factor.a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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dot
public static float dot(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Computes the dot product or inner product between two vectors. If the two vectors are columns vectors then it is defined as:
dot(a,b) = a<sup>T</sup> * b
If the vectors are column or row or both is ignored by this function.- Parameters:
a- Vectorb- Vector- Returns:
- Dot product of the two vectors
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multInner
public static void multInner(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row c)Computes the matrix multiplication inner product:
c = aT * a
cij = ∑k=1:n { aki * akj}Is faster than using a generic matrix multiplication by taking advantage of symmetry. For vectors there is an even faster option, see
VectorVectorMult_FDRM.innerProd(FMatrixD1, FMatrixD1)- Parameters:
a- The matrix being multiplied. Not modified.c- Where the results of the operation are stored. Modified.
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multOuter
public static void multOuter(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row c)Computes the matrix multiplication outer product:
c = a * aT
cij = ∑k=1:m { aik * ajk}Is faster than using a generic matrix multiplication by taking advantage of symmetry.
- Parameters:
a- The matrix being multiplied. Not modified.c- Where the results of the operation are stored. Modified.
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multAdd
public static void multAdd(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + a * b
cij = cij + ∑k=1:n { aik * bkj}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multAdd
public static void multAdd(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * a * b
cij = cij + α * ∑k=1:n { aik * bkj}- Parameters:
alpha- scaling factor.a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multAddTransA
public static void multAddTransA(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + aT * b
cij = cij + ∑k=1:n { aki * bkj}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multAddTransA
public static void multAddTransA(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * aT * b
cij =cij + α * ∑k=1:n { aki * bkj}- Parameters:
alpha- scaling factora- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multAddTransB
public static void multAddTransB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + a * bT
cij = cij + ∑k=1:n { aik * bjk}- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multAddTransB
public static void multAddTransB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * a * bT
cij = cij + α * ∑k=1:n { aik * bjk}- Parameters:
alpha- Scaling factor.a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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multAddTransAB
public static void multAddTransAB(org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + aT * bT
cij = cij + ∑k=1:n { aki * bjk}- Parameters:
a- The left matrix in the multiplication operation. Not Modified.b- The right matrix in the multiplication operation. Not Modified.c- Where the results of the operation are stored. Modified.
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multAddTransAB
public static void multAddTransAB(float alpha, org.ejml.data.FMatrix1Row a, org.ejml.data.FMatrix1Row b, org.ejml.data.FMatrix1Row c)Performs the following operation:
c = c + α * aT * bT
cij = cij + α * ∑k=1:n { aki * bjk}- Parameters:
alpha- Scaling factor.a- The left matrix in the multiplication operation. Not Modified.b- The right matrix in the multiplication operation. Not Modified.c- Where the results of the operation are stored. Modified.
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solve
public static boolean solve(org.ejml.data.FMatrixRMaj a, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj x)Solves for x in the following equation:
A*x = bIf the system could not be solved then false is returned. If it returns true that just means the algorithm finished operating, but the results could still be bad because 'A' is singular or nearly singular.
If repeat calls to solve are being made then one should consider using
LinearSolverFactory_FDRMinstead.It is ok for 'b' and 'x' to be the same matrix.
- Parameters:
a- A matrix that is m by n. Not modified.b- A matrix that is n by k. Not modified.x- A matrix that is m by k. Modified.- Returns:
- true if it could invert the matrix false if it could not.
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solveSPD
public static boolean solveSPD(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj x)Linear solver for systems which are symmetric positive definite.
A*x = b- Parameters:
A- A matrix that is n by n and SPD. Not modified.b- A matrix that is n by k. Not modified.x- A matrix that is n by k. Modified.- Returns:
- true if it could invert the matrix false if it could not.
- See Also:
UnrolledCholesky_FDRM,LinearSolverFactory_FDRM
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transpose
public static void transpose(org.ejml.data.FMatrixRMaj mat)
Performs an "in-place" transpose.
For square matrices the transpose is truly in-place and does not require additional memory. For non-square matrices, internally a temporary matrix is declared and
transpose(FMatrixRMaj, FMatrixRMaj)is invoked.- Parameters:
mat- The matrix that is to be transposed. Modified.
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transpose
public static org.ejml.data.FMatrixRMaj transpose(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj A_tran)Transposes matrix 'a' and stores the results in 'b':
bij = aji
where 'b' is the transpose of 'a'.- Parameters:
A- The original matrix. Not modified.A_tran- Where the transpose is stored. If null a new matrix is created. Modified.- Returns:
- The transposed matrix.
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trace
public static float trace(org.ejml.data.FMatrix1Row a)
This computes the trace of the matrix:
trace = ∑i=1:n { aii }
where n = min(numRows,numCols)- Parameters:
a- A square matrix. Not modified.
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det
public static float det(org.ejml.data.FMatrixRMaj mat)
Returns the determinant of the matrix. If the inverse of the matrix is also needed, then usingLUDecomposition_F32directly (or any similar algorithm) can be more efficient.- Parameters:
mat- The matrix whose determinant is to be computed. Not modified.- Returns:
- The determinant.
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invert
public static boolean invert(org.ejml.data.FMatrixRMaj mat)
Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix.
a = a-1If the algorithm could not invert the matrix then false is returned. If it returns true that just means the algorithm finished. The results could still be bad because the matrix is singular or nearly singular.
- Parameters:
mat- The matrix that is to be inverted. Results are stored here. Modified.- Returns:
- true if it could invert the matrix false if it could not.
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invert
public static boolean invert(org.ejml.data.FMatrixRMaj mat, org.ejml.data.FMatrixRMaj result)Performs a matrix inversion operation that does not modify the original and stores the results in another matrix. The two matrices must have the same dimension.
b = a-1If the algorithm could not invert the matrix then false is returned. If it returns true that just means the algorithm finished. The results could still be bad because the matrix is singular or nearly singular.
For medium to large matrices there might be a slight performance boost to using
LinearSolverFactory_FDRMinstead.- Parameters:
mat- The matrix that is to be inverted. Not modified.result- Where the inverse matrix is stored. Modified.- Returns:
- true if it could invert the matrix false if it could not.
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invertSPD
public static boolean invertSPD(org.ejml.data.FMatrixRMaj mat, org.ejml.data.FMatrixRMaj result)Matrix inverse for symmetric positive definite matrices. For small matrices an unrolled cholesky is used. Otherwise a standard decomposition.- Parameters:
mat- (Input) SPD matrixresult- (Output) Inverted matrix.- Returns:
- true if it could invert the matrix false if it could not.
- See Also:
UnrolledCholesky_FDRM,LinearSolverFactory_FDRM.chol(int)
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pinv
public static void pinv(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj invA)Computes the Moore-Penrose pseudo-inverse:
pinv(A) = (ATA)-1 AT
or
pinv(A) = AT(AAT)-1
Internally it uses
SolvePseudoInverseSvd_FDRMto compute the inverse. For performance reasons, this should only be used when a matrix is singular or nearly singular.- Parameters:
A- A m by n Matrix. Not modified.invA- Where the computed pseudo inverse is stored. n by m. Modified.
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columnsToVector
public static org.ejml.data.FMatrixRMaj[] columnsToVector(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj[] v)Converts the columns in a matrix into a set of vectors.- Parameters:
A- Matrix. Not modified.v-- Returns:
- An array of vectors.
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rowsToVector
public static org.ejml.data.FMatrixRMaj[] rowsToVector(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj[] v)Converts the rows in a matrix into a set of vectors.- Parameters:
A- Matrix. Not modified.v-- Returns:
- An array of vectors.
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setIdentity
public static void setIdentity(org.ejml.data.FMatrix1Row mat)
Sets all the diagonal elements equal to one and everything else equal to zero. If this is a square matrix then it will be an identity matrix.- Parameters:
mat- A square matrix.- See Also:
identity(int)
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identity
public static org.ejml.data.FMatrixRMaj identity(int width)
Creates an identity matrix of the specified size.
aij = 0 if i ≠ j
aij = 1 if i = j
- Parameters:
width- The width and height of the identity matrix.- Returns:
- A new instance of an identity matrix.
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identity
public static org.ejml.data.FMatrixRMaj identity(int numRows, int numCols)Creates a rectangular matrix which is zero except along the diagonals.- Parameters:
numRows- Number of rows in the matrix.numCols- NUmber of columns in the matrix.- Returns:
- A matrix with diagonal elements equal to one.
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diag
public static org.ejml.data.FMatrixRMaj diag(float... diagEl)
Creates a new square matrix whose diagonal elements are specified by diagEl and all the other elements are zero.
aij = 0 if i ≤ j
aij = diag[i] if i = j
- Parameters:
diagEl- Contains the values of the diagonal elements of the resulting matrix.- Returns:
- A new matrix.
- See Also:
diagR(int, int, float...)
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diag
public static org.ejml.data.FMatrixRMaj diag(org.ejml.data.FMatrixRMaj ret, int width, float... diagEl)- See Also:
diag(float...)
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diagR
public static org.ejml.data.FMatrixRMaj diagR(int numRows, int numCols, float... diagEl)Creates a new rectangular matrix whose diagonal elements are specified by diagEl and all the other elements are zero.
aij = 0 if i ≤ j
aij = diag[i] if i = j
- Parameters:
numRows- Number of rows in the matrix.numCols- Number of columns in the matrix.diagEl- Contains the values of the diagonal elements of the resulting matrix.- Returns:
- A new matrix.
- See Also:
diag(float...)
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kron
public static void kron(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj B, org.ejml.data.FMatrixRMaj C)The Kronecker product of two matrices is defined as:
Cij = aijB
where Cij is a sub matrix inside of C ∈ ℜ m*k × n*l, A ∈ ℜ m × n, and B ∈ ℜ k × l.- Parameters:
A- The left matrix in the operation. Not modified.B- The right matrix in the operation. Not modified.C- Where the results of the operation are stored. Modified.
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extract
public static void extract(org.ejml.data.FMatrix src, int srcY0, int srcY1, int srcX0, int srcX1, org.ejml.data.FMatrix dst, int dstY0, int dstX0)Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'.
si-y0 , j-x0 = oij for all y0 ≤ i < y1 and x0 ≤ j < x1
where 'sij' is an element in the submatrix and 'oij' is an element in the original matrix.- Parameters:
src- The original matrix which is to be copied. Not modified.srcX0- Start column.srcX1- Stop column+1.srcY0- Start row.srcY1- Stop row+1.dst- Where the submatrix are stored. Modified.dstY0- Start row in dst.dstX0- start column in dst.
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extract
public static void extract(org.ejml.data.FMatrix src, int srcY0, int srcY1, int srcX0, int srcX1, org.ejml.data.FMatrix dst)Extract where the destination is reshaped to match the extracted region- Parameters:
src- The original matrix which is to be copied. Not modified.srcX0- Start column.srcX1- Stop column+1.srcY0- Start row.srcY1- Stop row+1.dst- Where the submatrix are stored. Modified.
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extract
public static void extract(org.ejml.data.FMatrix src, int srcY0, int srcX0, org.ejml.data.FMatrix dst)Extracts a submatrix from 'src' and inserts it in a submatrix in 'dst'. Uses the shape of dst to determine the size of the matrix extracted.
- Parameters:
src- The original matrix which is to be copied. Not modified.srcY0- Start row in src.srcX0- Start column in src.dst- Where the matrix is extracted into.
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extract
public static org.ejml.data.FMatrixRMaj extract(org.ejml.data.FMatrixRMaj src, int srcY0, int srcY1, int srcX0, int srcX1)Creates a new matrix which is the specified submatrix of 'src'
si-y0 , j-x0 = oij for all y0 ≤ i < y1 and x0 ≤ j < x1
where 'sij' is an element in the submatrix and 'oij' is an element in the original matrix.- Parameters:
src- The original matrix which is to be copied. Not modified.srcX0- Start column.srcX1- Stop column+1.srcY0- Start row.srcY1- Stop row+1.- Returns:
- Extracted submatrix.
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extract
public static void extract(org.ejml.data.FMatrixRMaj src, int[] rows, int rowsSize, int[] cols, int colsSize, org.ejml.data.FMatrixRMaj dst)Extracts out a matrix from source given a sub matrix with arbitrary rows and columns specified in two array lists- Parameters:
src- Source matrix. Not modified.rows- array of row indexesrowsSize- maximum element in row arraycols- array of column indexescolsSize- maximum element in column arraydst- output matrix. Must be correct shape.
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extract
public static void extract(org.ejml.data.FMatrixRMaj src, int[] indexes, int length, org.ejml.data.FMatrixRMaj dst)Extracts the elements from the source matrix by their 1D index.- Parameters:
src- Source matrix. Not modified.indexes- array of row indexeslength- maximum element in row arraydst- output matrix. Must be a vector of the correct length.
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insert
public static void insert(org.ejml.data.FMatrixRMaj src, org.ejml.data.FMatrixRMaj dst, int[] rows, int rowsSize, int[] cols, int colsSize)Inserts into the specified elements of dst the source matrix.for i in len(rows): for j in len(cols): dst(rows[i],cols[j]) = src(i,j)- Parameters:
src- Source matrix. Not modified.dst- output matrix. Must be correct shape.rows- array of row indexesrowsSize- maximum element in row arraycols- array of column indexescolsSize- maximum element in column array
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extractDiag
public static void extractDiag(org.ejml.data.FMatrixRMaj src, org.ejml.data.FMatrixRMaj dst)Extracts the diagonal elements 'src' write it to the 'dst' vector. 'dst' can either be a row or column vector.
- Parameters:
src- Matrix whose diagonal elements are being extracted. Not modified.dst- A vector the results will be written into. Modified.
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extractRow
public static org.ejml.data.FMatrixRMaj extractRow(org.ejml.data.FMatrixRMaj a, int row, org.ejml.data.FMatrixRMaj out)Extracts the row from a matrix.- Parameters:
a- Input matrixrow- Which row is to be extractedout- output. Storage for the extracted row. If null then a new vector will be returned.- Returns:
- The extracted row.
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extractColumn
public static org.ejml.data.FMatrixRMaj extractColumn(org.ejml.data.FMatrixRMaj a, int column, org.ejml.data.FMatrixRMaj out)Extracts the column from a matrix.- Parameters:
a- Input matrixcolumn- Which column is to be extractedout- output. Storage for the extracted column. If null then a new vector will be returned.- Returns:
- The extracted column.
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removeColumns
public static void removeColumns(org.ejml.data.FMatrixRMaj A, int col0, int col1)Removes columns from the matrix.- Parameters:
A- Matrix. Modifiedcol0- First columncol1- Last column, inclusive.
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insert
public static void insert(org.ejml.data.FMatrix src, org.ejml.data.FMatrix dest, int destY0, int destX0)Inserts matrix 'src' into matrix 'dest' with the (0,0) of src at (row,col) in dest. This is equivalent to calling extract(src,0,src.numRows,0,src.numCols,dest,destY0,destX0).- Parameters:
src- matrix that is being copied into dest. Not modified.dest- Where src is being copied into. Modified.destY0- Start row for the copy into dest.destX0- Start column for the copy into dest.
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elementMax
public static float elementMax(org.ejml.data.FMatrixD1 a)
Returns the value of the element in the matrix that has the largest value.
Max{ aij } for all i and j
- Parameters:
a- A matrix. Not modified.- Returns:
- The max element value of the matrix.
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elementMaxAbs
public static float elementMaxAbs(org.ejml.data.FMatrixD1 a)
Returns the absolute value of the element in the matrix that has the largest absolute value.
Max{ |aij| } for all i and j
- Parameters:
a- A matrix. Not modified.- Returns:
- The max abs element value of the matrix.
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elementMin
public static float elementMin(org.ejml.data.FMatrixD1 a)
Returns the value of the element in the matrix that has the minimum value.
Min{ aij } for all i and j
- Parameters:
a- A matrix. Not modified.- Returns:
- The value of element in the matrix with the minimum value.
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elementMinAbs
public static float elementMinAbs(org.ejml.data.FMatrixD1 a)
Returns the absolute value of the element in the matrix that has the smallest absolute value.
Min{ |aij| } for all i and j
- Parameters:
a- A matrix. Not modified.- Returns:
- The max element value of the matrix.
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elementMult
public static void elementMult(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the an element by element multiplication operation:
aij = aij * bij
- Parameters:
a- The left matrix in the multiplication operation. Modified.b- The right matrix in the multiplication operation. Not modified.
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elementMult
public static void elementMult(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the an element by element multiplication operation:
cij = aij * bij
- Parameters:
a- The left matrix in the multiplication operation. Not modified.b- The right matrix in the multiplication operation. Not modified.c- Where the results of the operation are stored. Modified.
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elementDiv
public static void elementDiv(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the an element by element division operation:
aij = aij / bij
- Parameters:
a- The left matrix in the division operation. Modified.b- The right matrix in the division operation. Not modified.
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elementDiv
public static void elementDiv(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the an element by element division operation:
cij = aij / bij
- Parameters:
a- The left matrix in the division operation. Not modified.b- The right matrix in the division operation. Not modified.c- Where the results of the operation are stored. Modified.
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elementSum
public static float elementSum(org.ejml.data.FMatrixD1 mat)
Computes the sum of all the elements in the matrix:
sum(i=1:m , j=1:n ; aij)- Parameters:
mat- An m by n matrix. Not modified.- Returns:
- The sum of the elements.
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elementSumAbs
public static float elementSumAbs(org.ejml.data.FMatrixD1 mat)
Computes the sum of the absolute value all the elements in the matrix:
sum(i=1:m , j=1:n ; |aij|)- Parameters:
mat- An m by n matrix. Not modified.- Returns:
- The sum of the absolute value of each element.
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elementPower
public static void elementPower(org.ejml.data.FMatrixD1 A, org.ejml.data.FMatrixD1 B, org.ejml.data.FMatrixD1 C)Element-wise power operation
cij = aij ^ bij- Parameters:
A- left sideB- right sideC- output (modified)
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elementPower
public static void elementPower(float a, org.ejml.data.FMatrixD1 B, org.ejml.data.FMatrixD1 C)Element-wise power operation
cij = a ^ bij- Parameters:
a- left scalarB- right sideC- output (modified)
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elementPower
public static void elementPower(org.ejml.data.FMatrixD1 A, float b, org.ejml.data.FMatrixD1 C)Element-wise power operation
cij = aij ^ b- Parameters:
A- left sideb- right scalarC- output (modified)
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elementLog
public static void elementLog(org.ejml.data.FMatrixD1 A, org.ejml.data.FMatrixD1 C)Element-wise log operation
cij = (float)Math.log(aij)- Parameters:
A- inputC- output (modified)
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elementExp
public static void elementExp(org.ejml.data.FMatrixD1 A, org.ejml.data.FMatrixD1 C)Element-wise exp operation
cij = (float)Math.log(aij)- Parameters:
A- inputC- output (modified)
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multRows
public static void multRows(float[] values, org.ejml.data.FMatrixRMaj A)Multiplies every element in row i by value[i].- Parameters:
values- array. Not modified.A- Matrix. Modified.
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divideRows
public static void divideRows(float[] values, org.ejml.data.FMatrixRMaj A)Divides every element in row i by value[i].- Parameters:
values- array. Not modified.A- Matrix. Modified.
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multCols
public static void multCols(org.ejml.data.FMatrixRMaj A, float[] values)Multiplies every element in column i by value[i].- Parameters:
A- Matrix. Modified.values- array. Not modified.
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divideCols
public static void divideCols(org.ejml.data.FMatrixRMaj A, float[] values)Divides every element in column i by value[i].- Parameters:
A- Matrix. Modified.values- array. Not modified.
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divideRowsCols
public static void divideRowsCols(float[] diagA, int offsetA, org.ejml.data.FMatrixRMaj B, float[] diagC, int offsetC)Equivalent to multiplying a matrix B by the inverse of two diagonal matrices. B = inv(A)*B*inv(C), where A=diag(a) and C=diag(c).- Parameters:
diagA- Array of length offsteA + B.numRowsoffsetA- First index in AB- Rectangular matrixdiagC- Array of length indexC + B.numColsoffsetC- First index in C
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sumRows
public static org.ejml.data.FMatrixRMaj sumRows(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Computes the sum of each row in the input matrix and returns the results in a vector:
bj = sum(i=1:n ; aji)- Parameters:
input- INput matrix whose rows are summed.output- Optional storage for output. Reshaped into a column. Modified.- Returns:
- Vector containing the sum of each row in the input.
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minRows
public static org.ejml.data.FMatrixRMaj minRows(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the minimum value along each row in the input matrix and returns the results in a vector:
bj = min(i=1:n ; aji)- Parameters:
input- Input matrixoutput- Optional storage for output. Reshaped into a column. Modified.- Returns:
- Vector containing the sum of each row in the input.
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maxRows
public static org.ejml.data.FMatrixRMaj maxRows(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the maximum value along each row in the input matrix and returns the results in a vector:
bj = max(i=1:n ; aji)- Parameters:
input- Input matrixoutput- Optional storage for output. Reshaped into a column. Modified.- Returns:
- Vector containing the sum of each row in the input.
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sumCols
public static org.ejml.data.FMatrixRMaj sumCols(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Computes the sum of each column in the input matrix and returns the results in a vector:
bj = sum(i=1:m ; aij)- Parameters:
input- Input matrixoutput- Optional storage for output. Reshaped into a row vector. Modified.- Returns:
- Vector containing the sum of each column
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minCols
public static org.ejml.data.FMatrixRMaj minCols(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the minimum value along column in the input matrix and returns the results in a vector:
bj = min(i=1:m ; aij)- Parameters:
input- Input matrixoutput- Optional storage for output. Reshaped into a row vector. Modified.- Returns:
- Vector containing the minimum of each column
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maxCols
public static org.ejml.data.FMatrixRMaj maxCols(org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Finds the element with the minimum value along column in the input matrix and returns the results in a vector:
bj = min(i=1:m ; aij)- Parameters:
input- Input matrixoutput- Optional storage for output. Reshaped into a row vector. Modified.- Returns:
- Vector containing the maximum of each column
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addEquals
public static void addEquals(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the following operation:
a = a + b
aij = aij + bij
- Parameters:
a- A Matrix. Modified.b- A Matrix. Not modified.
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addEquals
public static void addEquals(org.ejml.data.FMatrixD1 a, float beta, org.ejml.data.FMatrixD1 b)Performs the following operation:
a = a + β * b
aij = aij + β * bij- Parameters:
beta- The number that matrix 'b' is multiplied by.a- A Matrix. Modified.b- A Matrix. Not modified.
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add
public static void add(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = a + b
cij = aij + bij
Matrix C can be the same instance as Matrix A and/or B.
- Parameters:
a- A Matrix. Not modified.b- A Matrix. Not modified.c- A Matrix where the results are stored. Modified.
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add
public static void add(org.ejml.data.FMatrixD1 a, float beta, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = a + β * b
cij = aij + β * bij
Matrix C can be the same instance as Matrix A and/or B.
- Parameters:
a- A Matrix. Not modified.beta- Scaling factor for matrix b.b- A Matrix. Not modified.c- A Matrix where the results are stored. Modified.
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add
public static void add(float alpha, org.ejml.data.FMatrixD1 a, float beta, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = α * a + β * b
cij = α * aij + β * bij
Matrix C can be the same instance as Matrix A and/or B.
- Parameters:
alpha- A scaling factor for matrix a.a- A Matrix. Not modified.beta- A scaling factor for matrix b.b- A Matrix. Not modified.c- A Matrix where the results are stored. Modified.
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add
public static void add(float alpha, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following operation:
c = α * a + b
cij = α * aij + bij
Matrix C can be the same instance as Matrix A and/or B.
- Parameters:
alpha- A scaling factor for matrix a.a- A Matrix. Not modified.b- A Matrix. Not modified.c- A Matrix where the results are stored. Modified.
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add
public static void add(org.ejml.data.FMatrixD1 a, float val)Performs an in-place scalar addition:
a = a + val
aij = aij + val
- Parameters:
a- A matrix. Modified.val- The value that's added to each element.
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add
public static void add(org.ejml.data.FMatrixD1 a, float val, org.ejml.data.FMatrixD1 c)Performs scalar addition:
c = a + val
cij = aij + val
- Parameters:
a- A matrix. Not modified.c- A matrix. Modified.val- The value that's added to each element.
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subtract
public static void subtract(org.ejml.data.FMatrixD1 a, float val, org.ejml.data.FMatrixD1 c)Performs matrix scalar subtraction:
c = a - val
cij = aij - val
- Parameters:
a- (input) A matrix. Not modified.val- (input) The value that's subtracted to each element.c- (Output) A matrix. Modified.
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subtract
public static void subtract(float val, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 c)Performs matrix scalar subtraction:
c = val - a
cij = val - aij
- Parameters:
val- (input) The value that's subtracted to each element.a- (input) A matrix. Not modified.c- (Output) A matrix. Modified.
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subtractEquals
public static void subtractEquals(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs the following subtraction operation:
a = a - b
aij = aij - bij- Parameters:
a- A Matrix. Modified.b- A Matrix. Not modified.
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subtract
public static void subtract(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b, org.ejml.data.FMatrixD1 c)Performs the following subtraction operation:
c = a - b
cij = aij - bijMatrix C can be the same instance as Matrix A and/or B.
- Parameters:
a- A Matrix. Not modified.b- A Matrix. Not modified.c- A Matrix. Modified.
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scale
public static void scale(float alpha, org.ejml.data.FMatrixD1 a)Performs an in-place element by element scalar multiplication.
aij = α*aij- Parameters:
a- The matrix that is to be scaled. Modified.alpha- the amount each element is multiplied by.
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scale
public static void scale(float alpha, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs an element by element scalar multiplication.
bij = α*aij- Parameters:
alpha- the amount each element is multiplied by.a- The matrix that is to be scaled. Not modified.b- Where the scaled matrix is stored. Modified.
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scaleRow
public static void scaleRow(float alpha, org.ejml.data.FMatrixRMaj A, int row)In-place scaling of a row in A- Parameters:
alpha- scale factorA- matrixrow- which row in A
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scaleCol
public static void scaleCol(float alpha, org.ejml.data.FMatrixRMaj A, int col)In-place scaling of a column in A- Parameters:
alpha- scale factorA- matrixcol- which row in A
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divide
public static void divide(float alpha, org.ejml.data.FMatrixD1 a)Performs an in-place element by element scalar division with the scalar on top.
aij = α/aij- Parameters:
a- The matrix whose elements are divide the scalar. Modified.alpha- top value in division
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divide
public static void divide(org.ejml.data.FMatrixD1 a, float alpha)Performs an in-place element by element scalar division with the scalar on bottom.
aij = aij/α- Parameters:
a- The matrix whose elements are to be divided. Modified.alpha- the amount each element is divided by.
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divide
public static void divide(float alpha, org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 b)Performs an element by element scalar division with the scalar on top.
bij = α/aij- Parameters:
alpha- The numerator.a- The matrix whose elements are the divisor. Not modified.b- Where the results are stored. Modified.
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divide
public static void divide(org.ejml.data.FMatrixD1 a, float alpha, org.ejml.data.FMatrixD1 b)Performs an element by element scalar division with the scalar on botton.
bij = aij /α- Parameters:
a- The matrix whose elements are to be divided. Not modified.alpha- the amount each element is divided by.b- Where the results are stored. Modified.
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changeSign
public static void changeSign(org.ejml.data.FMatrixD1 a)
Changes the sign of every element in the matrix.
aij = -aij- Parameters:
a- A matrix. Modified.
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changeSign
public static <T extends org.ejml.data.FMatrixD1> T changeSign(T input, @Nullable T output)Changes the sign of every element in the matrix.
outputij = -inputij- Parameters:
input- A matrix. Modified.
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fill
public static void fill(org.ejml.data.FMatrixD1 a, float value)Sets every element in the matrix to the specified value.
aij = value- Parameters:
a- A matrix whose elements are about to be set. Modified.value- The value each element will have.
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rref
public static org.ejml.data.FMatrixRMaj rref(org.ejml.data.FMatrixRMaj A, int numUnknowns, org.ejml.data.FMatrixRMaj reduced)Puts the augmented system matrix into reduced row echelon form (RREF) using Gauss-Jordan elimination with row (partial) pivots. A matrix is said to be in RREF is the following conditions are true:
- If a row has non-zero entries, then the first non-zero entry is 1. This is known as the leading one.
- If a column contains a leading one then all other entries in that column are zero.
- If a row contains a leading 1, then each row above contains a leading 1 further to the left.
[1] Page 19 in, Otter Bretscherm "Linear Algebra with Applications" Prentice-Hall Inc, 1997
- Parameters:
A- Input matrix. Unmodified.numUnknowns- Number of unknowns/columns that are reduced. Set to -1 to default to Math.min(A.numRows,A.numCols), which works for most systems.reduced- Storage for reduced echelon matrix. If null then a new matrix is returned. Modified.- Returns:
- Reduced echelon form of A
- See Also:
RrefGaussJordanRowPivot_FDRM
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elementLessThan
public static org.ejml.data.BMatrixRMaj elementLessThan(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the > operator to each element in A. Results are stored in a boolean matrix.- Parameters:
A- Input matrxvalue- value each element is compared againstoutput- (Optional) Storage for results. Can be null. Is reshaped.- Returns:
- Boolean matrix with results
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elementLessThanOrEqual
public static org.ejml.data.BMatrixRMaj elementLessThanOrEqual(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the ≥ operator to each element in A. Results are stored in a boolean matrix.- Parameters:
A- Input matrixvalue- value each element is compared againstoutput- (Optional) Storage for results. Can be null. Is reshaped.- Returns:
- Boolean matrix with results
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elementMoreThan
public static org.ejml.data.BMatrixRMaj elementMoreThan(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the > operator to each element in A. Results are stored in a boolean matrix.- Parameters:
A- Input matrixvalue- value each element is compared againstoutput- (Optional) Storage for results. Can be null. Is reshaped.- Returns:
- Boolean matrix with results
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elementMoreThanOrEqual
public static org.ejml.data.BMatrixRMaj elementMoreThanOrEqual(org.ejml.data.FMatrixRMaj A, float value, org.ejml.data.BMatrixRMaj output)Applies the ≥ operator to each element in A. Results are stored in a boolean matrix.- Parameters:
A- Input matrixvalue- value each element is compared againstoutput- (Optional) Storage for results. Can be null. Is reshaped.- Returns:
- Boolean matrix with results
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elementLessThan
public static org.ejml.data.BMatrixRMaj elementLessThan(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj B, org.ejml.data.BMatrixRMaj output)Applies the < operator to each element in A. Results are stored in a boolean matrix.- Parameters:
A- Input matrixB- Input matrixoutput- (Optional) Storage for results. Can be null. Is reshaped.- Returns:
- Boolean matrix with results
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elementLessThanOrEqual
public static org.ejml.data.BMatrixRMaj elementLessThanOrEqual(org.ejml.data.FMatrixRMaj A, org.ejml.data.FMatrixRMaj B, org.ejml.data.BMatrixRMaj output)Applies the A ≤ B operator to each element. Results are stored in a boolean matrix.- Parameters:
A- Input matrixB- Input matrixoutput- (Optional) Storage for results. Can be null. Is reshaped.- Returns:
- Boolean matrix with results
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elements
public static org.ejml.data.FMatrixRMaj elements(org.ejml.data.FMatrixRMaj A, org.ejml.data.BMatrixRMaj marked, org.ejml.data.FMatrixRMaj output)Returns a row matrix which contains all the elements in A which are flagged as true in 'marked'- Parameters:
A- Input matrixmarked- Input matrix marking elements in Aoutput- Storage for output row vector. Can be null. Will be reshaped.- Returns:
- Row vector with marked elements
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countTrue
public static int countTrue(org.ejml.data.BMatrixRMaj A)
Counts the number of elements in A which are true- Parameters:
A- input matrix- Returns:
- number of true elements
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concatColumns
public static void concatColumns(org.ejml.data.FMatrixRMaj a, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj output)output = [a , b]
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concatColumnsMulti
public static org.ejml.data.FMatrixRMaj concatColumnsMulti(org.ejml.data.FMatrixRMaj... m)
Concatinates all the matrices together along their columns. If the rows do not match the upper elements are set to zero.
A = [ m[0] , ... , m[n-1] ]- Parameters:
m- Set of matrices- Returns:
- Resulting matrix
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concatRows
public static void concatRows(org.ejml.data.FMatrixRMaj a, org.ejml.data.FMatrixRMaj b, org.ejml.data.FMatrixRMaj output)output = [a ; b]
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concatRowsMulti
public static org.ejml.data.FMatrixRMaj concatRowsMulti(org.ejml.data.FMatrixRMaj... m)
Concatinates all the matrices together along their columns. If the rows do not match the upper elements are set to zero.
A = [ m[0] ; ... ; m[n-1] ]- Parameters:
m- Set of matrices- Returns:
- Resulting matrix
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permuteRowInv
public static org.ejml.data.FMatrixRMaj permuteRowInv(int[] pinv, org.ejml.data.FMatrixRMaj input, org.ejml.data.FMatrixRMaj output)Applies the row permutation specified by the vector to the input matrix and save the results in the output matrix. output[perm[j],:] = input[j,:]- Parameters:
pinv- (Input) Inverse permutation vector. Specifies new order of the rows.input- (Input) Matrix which is to be permutedoutput- (Output) Matrix which has the permutation stored in it. Is reshaped.
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abs
public static void abs(org.ejml.data.FMatrixD1 a, org.ejml.data.FMatrixD1 c)Performs absolute value of a matrix:
c = abs(a)
cij = abs(aij)- Parameters:
a- A matrix. Not modified.c- A matrix. Modified.
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abs
public static void abs(org.ejml.data.FMatrixD1 a)
Performs absolute value of a matrix:
a = abs(a)
aij = abs(aij)- Parameters:
a- A matrix. Modified.
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symmLowerToFull
public static void symmLowerToFull(org.ejml.data.FMatrixRMaj A)
Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.- Parameters:
A- (Input) Lower triangular matrix (Output) symmetric matrix
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symmUpperToFull
public static void symmUpperToFull(org.ejml.data.FMatrixRMaj A)
Given a symmetric matrix which is represented by a lower triangular matrix convert it back into a full symmetric matrix.- Parameters:
A- (Input) Lower triangular matrix (Output) symmetric matrix
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