#region Translated by Jose Antonio De Santiago-Castillo. //Translated by Jose Antonio De Santiago-Castillo. //E-mail:JAntonioDeSantiago@gmail.com //Website: www.DotNumerics.com // //Fortran to C# Translation. //Translated by: //F2CSharp Version 0.72 (Dicember 7, 2009) //Code Optimizations: , assignment operator, for-loop: array indexes // #endregion using System; using DotNumerics.FortranLibrary; namespace DotNumerics.LinearAlgebra.CSLapack { /// /// Purpose /// ======= /// /// DGEMM performs one of the matrix-matrix operations /// /// C := alpha*op( A )*op( B ) + beta*C, /// /// where op( X ) is one of /// /// op( X ) = X or op( X ) = X', /// /// alpha and beta are scalars, and A, B and C are matrices, with op( A ) /// an m by k matrix, op( B ) a k by n matrix and C an m by n matrix. /// /// public class DGEMM { #region Dependencies LSAME _lsame; XERBLA _xerbla; #endregion #region Variables const double ONE = 1.0E+0; const double ZERO = 0.0E+0; #endregion public DGEMM(LSAME lsame, XERBLA xerbla) { #region Set Dependencies this._lsame = lsame; this._xerbla = xerbla; #endregion } public DGEMM() { #region Dependencies (Initialization) LSAME lsame = new LSAME(); XERBLA xerbla = new XERBLA(); #endregion #region Set Dependencies this._lsame = lsame; this._xerbla = xerbla; #endregion } /// /// Purpose /// ======= /// /// DGEMM performs one of the matrix-matrix operations /// /// C := alpha*op( A )*op( B ) + beta*C, /// /// where op( X ) is one of /// /// op( X ) = X or op( X ) = X', /// /// alpha and beta are scalars, and A, B and C are matrices, with op( A ) /// an m by k matrix, op( B ) a k by n matrix and C an m by n matrix. /// /// /// /// - CHARACTER*1. /// On entry, TRANSA specifies the form of op( A ) to be used in /// the matrix multiplication as follows: /// /// TRANSA = 'N' or 'n', op( A ) = A. /// /// TRANSA = 'T' or 't', op( A ) = A'. /// /// TRANSA = 'C' or 'c', op( A ) = A'. /// /// Unchanged on exit. /// /// /// - CHARACTER*1. /// On entry, TRANSB specifies the form of op( B ) to be used in /// the matrix multiplication as follows: /// /// TRANSB = 'N' or 'n', op( B ) = B. /// /// TRANSB = 'T' or 't', op( B ) = B'. /// /// TRANSB = 'C' or 'c', op( B ) = B'. /// /// Unchanged on exit. /// /// /// - INTEGER. /// On entry, M specifies the number of rows of the matrix /// op( A ) and of the matrix C. M must be at least zero. /// Unchanged on exit. /// /// /// - INTEGER. /// On entry, N specifies the number of columns of the matrix /// op( B ) and the number of columns of the matrix C. N must be /// at least zero. /// Unchanged on exit. /// /// /// - INTEGER. /// On entry, K specifies the number of columns of the matrix /// op( A ) and the number of rows of the matrix op( B ). K must /// be at least zero. /// Unchanged on exit. /// /// /// and beta are scalars, and A, B and C are matrices, with op( A ) /// /// /// - DOUBLE PRECISION array of DIMENSION ( LDA, ka ), where ka is /// k when TRANSA = 'N' or 'n', and is m otherwise. /// Before entry with TRANSA = 'N' or 'n', the leading m by k /// part of the array A must contain the matrix A, otherwise /// the leading k by m part of the array A must contain the /// matrix A. /// Unchanged on exit. /// /// /// - INTEGER. /// On entry, LDA specifies the first dimension of A as declared /// in the calling (sub) program. When TRANSA = 'N' or 'n' then /// LDA must be at least max( 1, m ), otherwise LDA must be at /// least max( 1, k ). /// Unchanged on exit. /// /// /// - DOUBLE PRECISION array of DIMENSION ( LDB, kb ), where kb is /// n when TRANSB = 'N' or 'n', and is k otherwise. /// Before entry with TRANSB = 'N' or 'n', the leading k by n /// part of the array B must contain the matrix B, otherwise /// the leading n by k part of the array B must contain the /// matrix B. /// Unchanged on exit. /// /// /// - INTEGER. /// On entry, LDB specifies the first dimension of B as declared /// in the calling (sub) program. When TRANSB = 'N' or 'n' then /// LDB must be at least max( 1, k ), otherwise LDB must be at /// least max( 1, n ). /// Unchanged on exit. /// /// /// - DOUBLE PRECISION. /// On entry, BETA specifies the scalar beta. When BETA is /// supplied as zero then C need not be set on input. /// Unchanged on exit. /// /// /// := alpha*op( A )*op( B ) + beta*C, /// /// /// - INTEGER. /// On entry, LDC specifies the first dimension of C as declared /// in the calling (sub) program. LDC must be at least /// max( 1, m ). /// Unchanged on exit. /// /// public void Run(string TRANSA, string TRANSB, int M, int N, int K, double ALPHA , double[] A, int offset_a, int LDA, double[] B, int offset_b, int LDB, double BETA, ref double[] C, int offset_c , int LDC) { #region Variables double TEMP = 0; int I = 0; int INFO = 0; int J = 0; int L = 0; int NCOLA = 0; int NROWA = 0; int NROWB = 0; bool NOTA = false;bool NOTB = false; #endregion #region Implicit Variables int C_J = 0; int A_L = 0; int A_I = 0; int B_J = 0; #endregion #region Array Index Correction int o_a = -1 - LDA + offset_a; int o_b = -1 - LDB + offset_b; int o_c = -1 - LDC + offset_c; #endregion #region Strings TRANSA = TRANSA.Substring(0, 1); TRANSB = TRANSB.Substring(0, 1); #endregion #region Prolog // * .. Scalar Arguments .. // * .. // * .. Array Arguments .. // * .. // * // * Purpose // * ======= // * // * DGEMM performs one of the matrix-matrix operations // * // * C := alpha*op( A )*op( B ) + beta*C, // * // * where op( X ) is one of // * // * op( X ) = X or op( X ) = X', // * // * alpha and beta are scalars, and A, B and C are matrices, with op( A ) // * an m by k matrix, op( B ) a k by n matrix and C an m by n matrix. // * // * Arguments // * ========== // * // * TRANSA - CHARACTER*1. // * On entry, TRANSA specifies the form of op( A ) to be used in // * the matrix multiplication as follows: // * // * TRANSA = 'N' or 'n', op( A ) = A. // * // * TRANSA = 'T' or 't', op( A ) = A'. // * // * TRANSA = 'C' or 'c', op( A ) = A'. // * // * Unchanged on exit. // * // * TRANSB - CHARACTER*1. // * On entry, TRANSB specifies the form of op( B ) to be used in // * the matrix multiplication as follows: // * // * TRANSB = 'N' or 'n', op( B ) = B. // * // * TRANSB = 'T' or 't', op( B ) = B'. // * // * TRANSB = 'C' or 'c', op( B ) = B'. // * // * Unchanged on exit. // * // * M - INTEGER. // * On entry, M specifies the number of rows of the matrix // * op( A ) and of the matrix C. M must be at least zero. // * Unchanged on exit. // * // * N - INTEGER. // * On entry, N specifies the number of columns of the matrix // * op( B ) and the number of columns of the matrix C. N must be // * at least zero. // * Unchanged on exit. // * // * K - INTEGER. // * On entry, K specifies the number of columns of the matrix // * op( A ) and the number of rows of the matrix op( B ). K must // * be at least zero. // * Unchanged on exit. // * // * ALPHA - DOUBLE PRECISION. // * On entry, ALPHA specifies the scalar alpha. // * Unchanged on exit. // * // * A - DOUBLE PRECISION array of DIMENSION ( LDA, ka ), where ka is // * k when TRANSA = 'N' or 'n', and is m otherwise. // * Before entry with TRANSA = 'N' or 'n', the leading m by k // * part of the array A must contain the matrix A, otherwise // * the leading k by m part of the array A must contain the // * matrix A. // * Unchanged on exit. // * // * LDA - INTEGER. // * On entry, LDA specifies the first dimension of A as declared // * in the calling (sub) program. When TRANSA = 'N' or 'n' then // * LDA must be at least max( 1, m ), otherwise LDA must be at // * least max( 1, k ). // * Unchanged on exit. // * // * B - DOUBLE PRECISION array of DIMENSION ( LDB, kb ), where kb is // * n when TRANSB = 'N' or 'n', and is k otherwise. // * Before entry with TRANSB = 'N' or 'n', the leading k by n // * part of the array B must contain the matrix B, otherwise // * the leading n by k part of the array B must contain the // * matrix B. // * Unchanged on exit. // * // * LDB - INTEGER. // * On entry, LDB specifies the first dimension of B as declared // * in the calling (sub) program. When TRANSB = 'N' or 'n' then // * LDB must be at least max( 1, k ), otherwise LDB must be at // * least max( 1, n ). // * Unchanged on exit. // * // * BETA - DOUBLE PRECISION. // * On entry, BETA specifies the scalar beta. When BETA is // * supplied as zero then C need not be set on input. // * Unchanged on exit. // * // * C - DOUBLE PRECISION array of DIMENSION ( LDC, n ). // * Before entry, the leading m by n part of the array C must // * contain the matrix C, except when beta is zero, in which // * case C need not be set on entry. // * On exit, the array C is overwritten by the m by n matrix // * ( alpha*op( A )*op( B ) + beta*C ). // * // * LDC - INTEGER. // * On entry, LDC specifies the first dimension of C as declared // * in the calling (sub) program. LDC must be at least // * max( 1, m ). // * Unchanged on exit. // * // * // * Level 3 Blas routine. // * // * -- Written on 8-February-1989. // * Jack Dongarra, Argonne National Laboratory. // * Iain Duff, AERE Harwell. // * Jeremy Du Croz, Numerical Algorithms Group Ltd. // * Sven Hammarling, Numerical Algorithms Group Ltd. // * // * // * .. External Functions .. // * .. // * .. External Subroutines .. // * .. // * .. Intrinsic Functions .. // INTRINSIC MAX; // * .. // * .. Local Scalars .. // * .. // * .. Parameters .. // * .. // * // * Set NOTA and NOTB as true if A and B respectively are not // * transposed and set NROWA, NCOLA and NROWB as the number of rows // * and columns of A and the number of rows of B respectively. // * #endregion #region Body NOTA = this._lsame.Run(TRANSA, "N"); NOTB = this._lsame.Run(TRANSB, "N"); if (NOTA) { NROWA = M; NCOLA = K; } else { NROWA = K; NCOLA = M; } if (NOTB) { NROWB = K; } else { NROWB = N; } // * // * Test the input parameters. // * INFO = 0; if ((!NOTA) && (!this._lsame.Run(TRANSA, "C")) && (!this._lsame.Run(TRANSA, "T"))) { INFO = 1; } else { if ((!NOTB) && (!this._lsame.Run(TRANSB, "C")) && (!this._lsame.Run(TRANSB, "T"))) { INFO = 2; } else { if (M < 0) { INFO = 3; } else { if (N < 0) { INFO = 4; } else { if (K < 0) { INFO = 5; } else { if (LDA < Math.Max(1, NROWA)) { INFO = 8; } else { if (LDB < Math.Max(1, NROWB)) { INFO = 10; } else { if (LDC < Math.Max(1, M)) { INFO = 13; } } } } } } } } if (INFO != 0) { this._xerbla.Run("DGEMM ", INFO); return; } // * // * Quick return if possible. // * if ((M == 0) || (N == 0) || (((ALPHA == ZERO) || (K == 0)) && (BETA == ONE))) return; // * // * And if alpha.eq.zero. // * if (ALPHA == ZERO) { if (BETA == ZERO) { for (J = 1; J <= N; J++) { C_J = J * LDC + o_c; for (I = 1; I <= M; I++) { C[I + C_J] = ZERO; } } } else { for (J = 1; J <= N; J++) { C_J = J * LDC + o_c; for (I = 1; I <= M; I++) { C[I + C_J] *= BETA; } } } return; } // * // * Start the operations. // * if (NOTB) { if (NOTA) { // * // * Form C := alpha*A*B + beta*C. // * for (J = 1; J <= N; J++) { if (BETA == ZERO) { C_J = J * LDC + o_c; for (I = 1; I <= M; I++) { C[I + C_J] = ZERO; } } else { if (BETA != ONE) { C_J = J * LDC + o_c; for (I = 1; I <= M; I++) { C[I + C_J] *= BETA; } } } for (L = 1; L <= K; L++) { if (B[L+J * LDB + o_b] != ZERO) { TEMP = ALPHA * B[L+J * LDB + o_b]; C_J = J * LDC + o_c; A_L = L * LDA + o_a; for (I = 1; I <= M; I++) { C[I + C_J] += TEMP * A[I + A_L]; } } } } } else { // * // * Form C := alpha*A'*B + beta*C // * for (J = 1; J <= N; J++) { for (I = 1; I <= M; I++) { TEMP = ZERO; A_I = I * LDA + o_a; B_J = J * LDB + o_b; for (L = 1; L <= K; L++) { TEMP += A[L + A_I] * B[L + B_J]; } if (BETA == ZERO) { C[I+J * LDC + o_c] = ALPHA * TEMP; } else { C[I+J * LDC + o_c] = ALPHA * TEMP + BETA * C[I+J * LDC + o_c]; } } } } } else { if (NOTA) { // * // * Form C := alpha*A*B' + beta*C // * for (J = 1; J <= N; J++) { if (BETA == ZERO) { C_J = J * LDC + o_c; for (I = 1; I <= M; I++) { C[I + C_J] = ZERO; } } else { if (BETA != ONE) { C_J = J * LDC + o_c; for (I = 1; I <= M; I++) { C[I + C_J] *= BETA; } } } for (L = 1; L <= K; L++) { if (B[J+L * LDB + o_b] != ZERO) { TEMP = ALPHA * B[J+L * LDB + o_b]; C_J = J * LDC + o_c; A_L = L * LDA + o_a; for (I = 1; I <= M; I++) { C[I + C_J] += TEMP * A[I + A_L]; } } } } } else { // * // * Form C := alpha*A'*B' + beta*C // * for (J = 1; J <= N; J++) { for (I = 1; I <= M; I++) { TEMP = ZERO; A_I = I * LDA + o_a; for (L = 1; L <= K; L++) { TEMP += A[L + A_I] * B[J+L * LDB + o_b]; } if (BETA == ZERO) { C[I+J * LDC + o_c] = ALPHA * TEMP; } else { C[I+J * LDC + o_c] = ALPHA * TEMP + BETA * C[I+J * LDC + o_c]; } } } } } // * return; // * // * End of DGEMM . // * #endregion } } }