Documentation of 'org.ejml.ops.CCommonOps' Java class
CCommonOps
org.ejml.ops

Class CCommonOps



  • public class CCommonOps
    extends java.lang.Object
    Common operations on complex numbers
    • Constructor Detail

      • CCommonOps

        public CCommonOps()
    • Method Detail

      • identity

        public static CDenseMatrix64F identity(int width)

        Creates an identity matrix of the specified size.

        aij = 0+0i if i ≠ j
        aij = 1+0i if i = j

        Parameters:
        width - The width and height of the identity matrix.
        Returns:
        A new instance of an identity matrix.
      • identity

        public static CDenseMatrix64F identity(int width,
                                               int height)

        Creates a matrix with diagonal elements set to 1 and the rest 0.

        aij = 0+0i if i ≠ j
        aij = 1+0i if i = j

        Parameters:
        width - The width of the identity matrix.
        height - The height of the identity matrix.
        Returns:
        A new instance of an identity matrix.
      • diag

        public static CDenseMatrix64F diag(double... data)

        Creates a new square matrix whose diagonal elements are specified by data and all the other elements are zero.

        aij = 0 if i ≤ j
        aij = diag[i] if i = j

        Parameters:
        data - Contains the values of the diagonal elements of the resulting matrix.
        Returns:
        A new complex matrix.
      • convert

        public static void convert(D1Matrix64F input,
                                   CD1Matrix64F output)
        Converts the real matrix into a complex matrix.
        Parameters:
        input - Real matrix. Not modified.
        output - Complex matrix. Modified.
      • stripReal

        public static DenseMatrix64F stripReal(CD1Matrix64F input,
                                               DenseMatrix64F output)
        Places the real component of the input matrix into the output matrix.
        Parameters:
        input - Complex matrix. Not modified.
        output - real matrix. Modified.
      • stripImaginary

        public static DenseMatrix64F stripImaginary(CD1Matrix64F input,
                                                    DenseMatrix64F output)
        Places the imaginary component of the input matrix into the output matrix.
        Parameters:
        input - Complex matrix. Not modified.
        output - real matrix. Modified.
      • magnitude

        public static void magnitude(CD1Matrix64F input,
                                     D1Matrix64F output)

        Computes the magnitude of the complex number in the input matrix and stores the results in the output matrix.

        magnitude = sqrt(real^2 + imaginary^2)
        Parameters:
        input - Complex matrix. Not modified.
        output - real matrix. Modified.
      • conjugate

        public static void conjugate(CD1Matrix64F input,
                                     CD1Matrix64F output)

        Computes the complex conjugate of the input matrix.

        reali,j = reali,j
        imaginaryi,j = -1*imaginaryi,j

        Parameters:
        input - Input matrix. Not modified.
        output - The complex conjugate of the input matrix. Modified.
      • fill

        public static void fill(CD1Matrix64F a,
                                double real,
                                double imaginary)

        Sets every element in the matrix to the specified value.

        aij = value

        Parameters:
        a - A matrix whose elements are about to be set. Modified.
        real - The real component
        imaginary - The imaginary component
      • add

        public static void add(CD1Matrix64F a,
                               CD1Matrix64F b,
                               CD1Matrix64F 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.
      • subtract

        public static void subtract(CD1Matrix64F a,
                                    CD1Matrix64F b,
                                    CD1Matrix64F 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.
      • mult

        public static void mult(CDenseMatrix64F a,
                                CDenseMatrix64F b,
                                CDenseMatrix64F 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.
      • mult

        public static void mult(double realAlpha,
                                double imgAlpha,
                                CDenseMatrix64F a,
                                CDenseMatrix64F b,
                                CDenseMatrix64F c)

        Performs the following operation:

        c = α * a * b

        cij = α ∑k=1:n { * aik * bkj}

        Parameters:
        realAlpha - real component of scaling factor.
        imgAlpha - imaginary component of 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.
      • multAdd

        public static void multAdd(CDenseMatrix64F a,
                                   CDenseMatrix64F b,
                                   CDenseMatrix64F 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.
      • multAdd

        public static void multAdd(double realAlpha,
                                   double imgAlpha,
                                   CDenseMatrix64F a,
                                   CDenseMatrix64F b,
                                   CDenseMatrix64F c)

        Performs the following operation:

        c = c + α * a * b
        cij = cij + α * ∑k=1:n { aik * bkj}

        Parameters:
        realAlpha - real component of scaling factor.
        imgAlpha - imaginary component of 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.
      • transpose

        public static CDenseMatrix64F transpose(CDenseMatrix64F input,
                                                CDenseMatrix64F output)

        Transposes input matrix 'a' and stores the results in output matrix 'b':

        bij = aji
        where 'b' is the transpose of 'a'.

        Parameters:
        input - The original matrix. Not modified.
        output - Where the transpose is stored. If null a new matrix is created. Modified.
        Returns:
        The transposed matrix.
      • transposeConjugate

        public static CDenseMatrix64F transposeConjugate(CDenseMatrix64F input,
                                                         CDenseMatrix64F output)

        Conjugate transposes input matrix 'a' and stores the results in output matrix 'b':

        b-reali,j = a-realj,i
        b-imaginaryi,j = -1*a-imaginaryj,i
        where 'b' is the transpose of 'a'.

        Parameters:
        input - The original matrix. Not modified.
        output - Where the transpose is stored. If null a new matrix is created. Modified.
        Returns:
        The transposed matrix.
      • invert

        public static boolean invert(CDenseMatrix64F A)

        Performs a matrix inversion operation on the specified matrix and stores the results in the same matrix.

        a = a-1

        If 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:
        A - 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.
      • invert

        public static boolean invert(CDenseMatrix64F input,
                                     CDenseMatrix64F output)

        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-1

        If 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 CLinearSolverFactory instead.

        Parameters:
        input - The matrix that is to be inverted. Not modified.
        output - Where the inverse matrix is stored. Modified.
        Returns:
        true if it could invert the matrix false if it could not.
      • solve

        public static boolean solve(CDenseMatrix64F a,
                                    CDenseMatrix64F b,
                                    CDenseMatrix64F x)

        Solves for x in the following equation:

        A*x = b

        If 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 CLinearSolverFactory instead.

        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.
      • det

        public static Complex64F det(CDenseMatrix64F mat)
        Returns the determinant of the matrix. If the inverse of the matrix is also needed, then using LUDecompositionAlt_CD64 directly (or any similar algorithm) can be more efficient.
        Parameters:
        mat - The matrix whose determinant is to be computed. Not modified.
        Returns:
        The determinant.
      • elementMultiply

        public static void elementMultiply(CD1Matrix64F input,
                                           double real,
                                           double imaginary,
                                           CD1Matrix64F output)

        Performs element by element multiplication operation with a complex numbert

        outputij = inputij * (real + imaginary*i)

        Parameters:
        input - The left matrix in the multiplication operation. Not modified.
        real - Real component of the number it is multiplied by
        imaginary - Imaginary component of the number it is multiplied by
        output - Where the results of the operation are stored. Modified.
      • elementDivide

        public static void elementDivide(CD1Matrix64F input,
                                         double real,
                                         double imaginary,
                                         CD1Matrix64F output)

        Performs element by element division operation with a complex number on the right

        outputij = inputij / (real + imaginary*i)

        Parameters:
        input - The left matrix in the multiplication operation. Not modified.
        real - Real component of the number it is multiplied by
        imaginary - Imaginary component of the number it is multiplied by
        output - Where the results of the operation are stored. Modified.
      • elementDivide

        public static void elementDivide(double real,
                                         double imaginary,
                                         CD1Matrix64F input,
                                         CD1Matrix64F output)

        Performs element by element division operation with a complex number on the right

        outputij = (real + imaginary*i) / inputij

        Parameters:
        real - Real component of the number it is multiplied by
        imaginary - Imaginary component of the number it is multiplied by
        input - The right matrix in the multiplication operation. Not modified.
        output - Where the results of the operation are stored. Modified.
      • elementMinReal

        public static double elementMinReal(CD1Matrix64F a)

        Returns the value of the real element in the matrix that has the minimum value.

        Min{ aij } for all i and j

        Parameters:
        a - A matrix. Not modified.
        Returns:
        The the minimum value out of all the real values.
      • elementMinImaginary

        public static double elementMinImaginary(CD1Matrix64F a)

        Returns the value of the imaginary element in the matrix that has the minimum value.

        Min{ aij } for all i and j

        Parameters:
        a - A matrix. Not modified.
        Returns:
        The the minimum value out of all the real values.
      • elementMaxReal

        public static double elementMaxReal(CD1Matrix64F a)

        Returns the value of the real element in the matrix that has the minimum value.

        Min{ aij } for all i and j

        Parameters:
        a - A matrix. Not modified.
        Returns:
        The the minimum value out of all the real values.
      • elementMaxImaginary

        public static double elementMaxImaginary(CD1Matrix64F a)

        Returns the value of the imaginary element in the matrix that has the minimum value.

        Min{ aij } for all i and j

        Parameters:
        a - A matrix. Not modified.
        Returns:
        The the minimum value out of all the real values.
      • elementMaxMagnitude2

        public static double elementMaxMagnitude2(CD1Matrix64F a)

        Returns the magnitude squared of the complex element with the largest magnitude

        Max{ |aij|^2 } for all i and j

        Parameters:
        a - A matrix. Not modified.
        Returns:
        The max magnitude squared
      • setIdentity

        public static void setIdentity(CDenseMatrix64F 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.
      • extract

        public static CDenseMatrix64F extract(CDenseMatrix64F 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.
      • extract

        public static void extract(CDenseMatrix64F src,
                                   int srcY0,
                                   int srcY1,
                                   int srcX0,
                                   int srcX1,
                                   CDenseMatrix64F 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.
      • columnsToVector

        public static CDenseMatrix64F[] columnsToVector(CDenseMatrix64F A,
                                                        CDenseMatrix64F[] v)
        Converts the columns in a matrix into a set of vectors.
        Parameters:
        A - Matrix. Not modified.
        v - Optional storage for columns.
        Returns:
        An array of vectors.
      • elementMaxAbs

        public static double elementMaxAbs(CDenseMatrix64F 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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