程序包 org.meteoinfo.math.linalg

类 LinalgUtil

  • public class LinalgUtil
extends java.lang.Object
    作者:
    Yaqiang Wang

    • 构造器概要

      构造器 
      构造器 说明
      LinalgUtil()  

    • 方法概要

      所有方法 静态方法 具体方法 
      修饰符和类型 方法 说明
      static ucar.ma2.Array cholesky​(ucar.ma2.Array a)
      Calculates the Cholesky decomposition of a matrix.
      static ucar.ma2.Array[] eigen​(ucar.ma2.Array a)
      Calculates the eigen decomposition of a real matrix.
      static ucar.ma2.Array[] eigen_bak​(ucar.ma2.Array a)
      Calculates the eigen decomposition of a real matrix.
      static ucar.ma2.Array[] eigen_EJML​(ucar.ma2.Array a)
      Calculates the eigen decomposition of a real matrix.
      static ucar.ma2.Array inv​(ucar.ma2.Array a)
      Calculate inverse matrix
      static ucar.ma2.Array lstsq​(ucar.ma2.Array a, ucar.ma2.Array b)
      Not correct at present !!!
      static ucar.ma2.Array[] lu​(ucar.ma2.Array a)
      Calculates the LUP-decomposition of a square matrix.
      static ucar.ma2.Array[] qr​(ucar.ma2.Array a)
      Calculates the QR-decomposition of a matrix.
      static ucar.ma2.Array solve​(ucar.ma2.Array a, ucar.ma2.Array b)
      Solve a linear matrix equation, or system of linear scalar equations.
      static ucar.ma2.Array[] svd​(ucar.ma2.Array a)
      Calculates the compact Singular Value Decomposition of a matrix.
      static ucar.ma2.Array[] svd_EJML​(ucar.ma2.Array a)
      Calculates the compact Singular Value Decomposition of a matrix.

      • 从类继承的方法 java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • 构造器详细资料

      • LinalgUtil

        public LinalgUtil()

    • 方法详细资料

      • solve

        public static ucar.ma2.Array solve​(ucar.ma2.Array a,
                                   ucar.ma2.Array b)
        Solve a linear matrix equation, or system of linear scalar equations.
        参数:
        a - Coefficient matrix.
        b - Ordinate or “dependent variable” values.
        返回:
        Solution to the system a x = b. Returned shape is identical to b.

      • cholesky

        public static ucar.ma2.Array cholesky​(ucar.ma2.Array a)
        Calculates the Cholesky decomposition of a matrix. The Cholesky decomposition of a real symmetric positive-definite matrix A consists of a lower triangular matrix L with same size such that: A = LLT. In a sense, this is the square root of A.
        参数:
        a - The given matrix.
        返回:
        Result array.

      • lu

        public static ucar.ma2.Array[] lu​(ucar.ma2.Array a)
        Calculates the LUP-decomposition of a square matrix. The LUP-decomposition of a matrix A consists of three matrices L, U and P that satisfy: P×A = L×U. L is lower triangular (with unit diagonal terms), U is upper triangular and P is a permutation matrix. All matrices are m×m.
        参数:
        a - Given matrix.
        返回:
        Result P/L/U arrays.

      • qr

        public static ucar.ma2.Array[] qr​(ucar.ma2.Array a)
        Calculates the QR-decomposition of a matrix. The QR-decomposition of a matrix A consists of two matrices Q and R that satisfy: A = QR, Q is orthogonal (QTQ = I), and R is upper triangular. If A is m×n, Q is m×m and R m×n.
        参数:
        a - Given matrix.
        返回:
        Result Q/R arrays.

      • svd

        public static ucar.ma2.Array[] svd​(ucar.ma2.Array a)
        Calculates the compact Singular Value Decomposition of a matrix. The Singular Value Decomposition of matrix A is a set of three matrices: U, Σ and V such that A = U × Σ × VT. Let A be a m × n matrix, then U is a m × p orthogonal matrix, Σ is a p × p diagonal matrix with positive or null elements, V is a p × n orthogonal matrix (hence VT is also orthogonal) where p=min(m,n).
        参数:
        a - Given matrix.
        返回:
        Result U/S/V arrays.

      • svd_EJML

        public static ucar.ma2.Array[] svd_EJML​(ucar.ma2.Array a)
        Calculates the compact Singular Value Decomposition of a matrix. The Singular Value Decomposition of matrix A is a set of three matrices: U, Σ and V such that A = U × Σ × VT. Let A be a m × n matrix, then U is a m × p orthogonal matrix, Σ is a p × p diagonal matrix with positive or null elements, V is a p × n orthogonal matrix (hence VT is also orthogonal) where p=min(m,n).
        参数:
        a - Given matrix.
        返回:
        Result U/S/V arrays.

      • eigen_bak

        public static ucar.ma2.Array[] eigen_bak​(ucar.ma2.Array a)
        Calculates the eigen decomposition of a real matrix. The eigen decomposition of matrix A is a set of two matrices: V and D such that A = V × D × VT. A, V and D are all m × m matrices.
        参数:
        a - Given matrix.
        返回:
        Result W/V arrays.

      • eigen

        public static ucar.ma2.Array[] eigen​(ucar.ma2.Array a)
        Calculates the eigen decomposition of a real matrix. The eigen decomposition of matrix A is a set of two matrices: V and D such that A = V × D × VT. A, V and D are all m × m matrices.
        参数:
        a - Given matrix.
        返回:
        Result W/V arrays.

      • eigen_EJML

        public static ucar.ma2.Array[] eigen_EJML​(ucar.ma2.Array a)
        Calculates the eigen decomposition of a real matrix. The eigen decomposition of matrix A is a set of two matrices: V and D such that A = V × D × VT. A, V and D are all m × m matrices.
        参数:
        a - Given matrix.
        返回:
        Result W/V arrays.

      • inv

        public static ucar.ma2.Array inv​(ucar.ma2.Array a)
        Calculate inverse matrix
        参数:
        a - The matrix
        返回:
        Inverse matrix array

      • lstsq

        public static ucar.ma2.Array lstsq​(ucar.ma2.Array a,
                                   ucar.ma2.Array b)
        Not correct at present !!!
        参数:
        a -
        b -
        返回: