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## Uses of Class
org.encog.mathutil.matrices.Matrix

Packages that use Matrix
org.encog.mathutil.matrices |
org.encog.mathutil.matrices.decomposition |
org.encog.mathutil.randomize |
org.encog.neural.art | This package contains the classes for ART neural networks.
org.encog.neural.bam | THis package contains the classes for BAM networks.
org.encog.neural.cpn | This package contains the classes for CPN networks.
org.encog.neural.som | This package contains classes for the SOM.
org.encog.neural.som.training.basic | This package implements neighborhood training for the SOM.
org.encog.persist |
org.encog.util.logging |

Uses of Matrix in org.encog.mathutil.matrices

Methods in org.encog.mathutil.matrices that return Matrix
`static Matrix` | `MatrixMath.add(Matrix a, Matrix b)` Add two matrixes.
`Matrix` | `Matrix.clone()` Create a copy of the matrix.
`static Matrix` | `Matrix.createColumnMatrix(double[] input)` Turn an array of doubles into a column matrix.
`static Matrix` | `Matrix.createRowMatrix(double[] input)` Turn an array of doubles into a row matrix.
`static Matrix` | `MatrixMath.deleteCol(Matrix matrix, int deleted)` Delete one column from the matrix.
`static Matrix` | `MatrixMath.deleteRow(Matrix matrix, int deleted)` Delete a row from the matrix.
`static Matrix` | `MatrixMath.divide(Matrix a, double b)` Return a matrix with each cell divided by the specified value.
`Matrix` | `Matrix.getCol(int col)` Read one entire column from the matrix as a sub-matrix.
`Matrix` | `Matrix.getMatrix(int[] r, int[] c)` Get a submatrix.
`Matrix` | `Matrix.getMatrix(int[] r, int j0, int j1)` Get a submatrix.
`Matrix` | `Matrix.getMatrix(int i0, int i1, int[] c)` Get a submatrix.
`Matrix` | `Matrix.getMatrix(int i0, int i1, int j0, int j1)` Get a submatrix.
`Matrix` | `Matrix.getRow(int row)` Get the specified row as a sub-matrix.
`static Matrix` | `MatrixMath.identity(int size)` Return an identity matrix of the specified size.
`Matrix` | `Matrix.inverse()`
`static Matrix` | `MatrixMath.multiply(Matrix a, double b)` Return the result of multiplying every cell in the matrix by the specified value.
`static Matrix` | `MatrixMath.multiply(Matrix a, Matrix b)` Return the product of the first and second matrix.
`Matrix` | `Matrix.solve(Matrix b)` Solve A*X = B.
`static Matrix` | `MatrixMath.subtract(Matrix a, Matrix b)` Return the results of subtracting one matrix from another.
`static Matrix` | `MatrixMath.transpose(Matrix input)` Return the transposition of a matrix.

Methods in org.encog.mathutil.matrices with parameters of type Matrix
`void` | `Matrix.add(Matrix theMatrix)` Add the specified matrix to this matrix.
`static Matrix` | `MatrixMath.add(Matrix a, Matrix b)` Add two matrixes.
`static void` | `MatrixMath.copy(Matrix source, Matrix target)` Copy from one matrix to another.
`static Matrix` | `MatrixMath.deleteCol(Matrix matrix, int deleted)` Delete one column from the matrix.
`static Matrix` | `MatrixMath.deleteRow(Matrix matrix, int deleted)` Delete a row from the matrix.
`static Matrix` | `MatrixMath.divide(Matrix a, double b)` Return a matrix with each cell divided by the specified value.
`static double` | `MatrixMath.dotProduct(Matrix a, Matrix b)` Compute the dot product for the two matrixes.
`boolean` | `Matrix.equals(Matrix theMatrix, int precision)` Compare to matrixes with the specified level of precision.
`static Matrix` | `MatrixMath.multiply(Matrix a, double b)` Return the result of multiplying every cell in the matrix by the specified value.
`static Matrix` | `MatrixMath.multiply(Matrix a, Matrix b)` Return the product of the first and second matrix.
`void` | `Matrix.set(Matrix theMatrix)` Set this matrix's values to that of another matrix.
`void` | `Matrix.setMatrix(int[] r, int[] c, Matrix x)` Set a submatrix.
`void` | `Matrix.setMatrix(int[] r, int j0, int j1, Matrix x)` Set a submatrix.
`void` | `Matrix.setMatrix(int i0, int i1, int[] c, Matrix x)` Set a submatrix.
`void` | `Matrix.setMatrix(int i0, int i1, int j0, int j1, Matrix x)` Set a submatrix.
`Matrix` | `Matrix.solve(Matrix b)` Solve A*X = B.
`static Matrix` | `MatrixMath.subtract(Matrix a, Matrix b)` Return the results of subtracting one matrix from another.
`static Matrix` | `MatrixMath.transpose(Matrix input)` Return the transposition of a matrix.
`static double` | `MatrixMath.vectorLength(Matrix input)` Calculate the length of a vector.

Uses of Matrix in org.encog.mathutil.matrices.decomposition

Methods in org.encog.mathutil.matrices.decomposition that return Matrix
`Matrix` | `EigenvalueDecomposition.getD()` Return the block diagonal eigenvalue matrix
`Matrix` | `QRDecomposition.getH()` Return the Householder vectors
`Matrix` | `CholeskyDecomposition.getL()` Return triangular factor.
`Matrix` | `LUDecomposition.getL()` Return lower triangular factor
`Matrix` | `QRDecomposition.getQ()` Generate and return the (economy-sized) orthogonal factor
`Matrix` | `QRDecomposition.getR()` Return the upper triangular factor
`Matrix` | `SingularValueDecomposition.getS()` Return the diagonal matrix of singular values
`Matrix` | `SingularValueDecomposition.getU()` Return the left singular vectors
`Matrix` | `LUDecomposition.getU()` Return upper triangular factor
`Matrix` | `EigenvalueDecomposition.getV()` Return the eigenvector matrix.
`Matrix` | `SingularValueDecomposition.getV()` Return the right singular vectors
`Matrix` | `CholeskyDecomposition.solve(Matrix b)` Solve A*X = B.
`Matrix` | `QRDecomposition.solve(Matrix B)` Least squares solution of A*X = B
`Matrix` | `LUDecomposition.solve(Matrix B)` Solve A*X = B

Methods in org.encog.mathutil.matrices.decomposition with parameters of type Matrix
`Matrix` | `CholeskyDecomposition.solve(Matrix b)` Solve A*X = B.
`Matrix` | `QRDecomposition.solve(Matrix B)` Least squares solution of A*X = B
`Matrix` | `LUDecomposition.solve(Matrix B)` Solve A*X = B

Constructors in org.encog.mathutil.matrices.decomposition with parameters of type Matrix
`CholeskyDecomposition(Matrix matrix)` Cholesky algorithm for symmetric and positive definite matrix.
`EigenvalueDecomposition(Matrix matrix)` Check for symmetry, then construct the eigenvalue decomposition Structure to access D and V.
`LUDecomposition(Matrix A)` LU Decomposition Structure to access L, U and piv.
`QRDecomposition(Matrix A)` QR Decomposition, computed by Householder reflections.
`SingularValueDecomposition(Matrix Arg)` Construct the singular value decomposition Structure to access U, S and V.

Uses of Matrix in org.encog.mathutil.randomize

Methods in org.encog.mathutil.randomize with parameters of type Matrix
`void` | `Randomizer.randomize(Matrix m)` Randomize the matrix based on an array, modify the array.
`void` | `BasicRandomizer.randomize(Matrix m)` Randomize the matrix based on an array, modify the array.
`void` | `FanInRandomizer.randomize(Matrix m)` Randomize the matrix based on an array, modify the array.

Uses of Matrix in org.encog.neural.art

Methods in org.encog.neural.art that return Matrix
`Matrix` | `ART1.getWeightsF1toF2()`
`Matrix` | `ART1.getWeightsF2toF1()`

Methods in org.encog.neural.art with parameters of type Matrix
`void` | `ART1.setWeightsF1toF2(Matrix matrix)` Set the f1 to f2 matrix.
`void` | `ART1.setWeightsF2toF1(Matrix matrix)` Set the f2 to f1 matrix.

Uses of Matrix in org.encog.neural.bam

Methods in org.encog.neural.bam that return Matrix
`Matrix` | `BAM.getWeightsF1toF2()`
`Matrix` | `BAM.getWeightsF2toF1()`

Methods in org.encog.neural.bam with parameters of type Matrix
`void` | `BAM.setWeightsF1toF2(Matrix matrix)` Set the weights for F1 to F2.
`void` | `BAM.setWeightsF2toF1(Matrix matrix)` Set the weights for F2 to F1.

Uses of Matrix in org.encog.neural.cpn

Methods in org.encog.neural.cpn that return Matrix
`Matrix` | `CPN.getWeightsInputToInstar()`
`Matrix` | `CPN.getWeightsInstarToOutstar()`

Uses of Matrix in org.encog.neural.som

Methods in org.encog.neural.som that return Matrix
`Matrix` | `SOM.getWeights()`

Methods in org.encog.neural.som with parameters of type Matrix
`void` | `SOM.setWeights(Matrix weights)`

Uses of Matrix in org.encog.neural.som.training.basic

Methods in org.encog.neural.som.training.basic with parameters of type Matrix
`double` | `BestMatchingUnit.calculateEuclideanDistance(Matrix matrix, MLData input, int outputNeuron)` Calculate the Euclidean distance for the specified output neuron and the input vector.

Uses of Matrix in org.encog.persist

Methods in org.encog.persist that return Matrix
`static Matrix` | `EncogFileSection.parseMatrix(Map<String,String> params, String name)` Parse a matrix from a name-value collection of params.

Methods in org.encog.persist with parameters of type Matrix
`void` | `EncogWriteHelper.writeProperty(String name, Matrix matrix)` Write a matrix as a property.

Uses of Matrix in org.encog.util.logging

Methods in org.encog.util.logging with parameters of type Matrix
`static String` | `DumpMatrix.dumpMatrix(Matrix matrix)` Dump a matrix to a string.

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