?geru
一般共轭矩阵秩1更新。
即: 。alpha是乘法系数,A是m*n的一般矩阵,x是含有m个元素的向量,y是含有n个元素的向量。
。alpha是乘法系数,A是m*n的一般矩阵,x是含有m个元素的向量,y是含有n个元素的向量。
接口定义
C interface:
void cblas_cgeru(const enum CBLAS_ORDER order, const BLASINT M, const BLASINT N, const void *alpha, const void *X, const BLASINT incX, const void *Y, const BLASINT incY, void *A, const BLASINT lda);
void cblas_zgeru(const enum CBLAS_ORDER order, const BLASINT M, const BLASINT N, const void *alpha, const void *X, const BLASINT incX, const void *Y, const BLASINT incY, void *A, const BLASINT lda);
Fortran interface:
CALL CGERU(M, N, ALPHA, X, INCX, Y, INCY, A, LDA)
CALL ZGERU(M, N, ALPHA, X, INCX, Y, INCY, A, LDA)
参数
| 参数名 | 类型 | 描述 | 输入/输出 | 
|---|---|---|---|
| order | 枚举类型CBLAS_ORDER | 表示矩阵是行主序或列主序。 | 输入 | 
| M | 整型数 | 矩阵A的行数。 | 输入 | 
| N | 整型数 | 矩阵A的列数。 | 输入 | 
| alpha | 
 | 乘法系数。 | 输入 | 
| X | 
 | 矩阵X,向量规模至少是(1+(m-1)*abs(incX))。 | 输入 | 
| incX | 整型数 | 向量X的增长步长,不能为零。 | 输入 | 
| Y | 
 | 矩阵Y,向量规模至少是(1+(n-1)*abs(incY))。 | 输入 | 
| incY | 整型数 | 向量Y的增长步长,不能为零。 | 输入 | 
| A | 
 | 矩阵A(lda, n)。 | 输出 | 
| lda | 整型数 | 矩阵A中主维度长度,如果矩阵A为列存,要求lda大于或等于max(1, m),否则要求大于或等于max(1,n)。 | 输入 | 
依赖
#include "kblas.h"
示例
C interface:
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | int m = 4, n = 4, lda = 4; float alpha[2] = {1.0, 2.0}; int incx = 1, incy = 1; /** * X: * 0.340188, -0.105617, 0.283099, 0.298440, 0.411647, -0.302449, -0.164777, 0.268230 * Y: * -0.222225, 0.053970, -0.022603, 0.128871, -0.135216, 0.013401, 0.452230, 0.416195 * A: * 0.135712, 0.217297, -0.343321, -0.099056, 0.112640, -0.203968, 0.026745, 0.269914 * -0.358397, 0.106969, -0.370210, -0.391191, 0.137552, 0.024287, -0.099771, 0.391529 * -0.483699, -0.257113, 0.498924, -0.281743, -0.006417, 0.472775, -0.216685, -0.147542 * -0.362768, 0.304177, 0.012932, 0.339112, -0.207483, 0.271358, 0.307725, 0.419026 */ float x[8] = {0.340188, -0.105617, 0.283099, 0.298440, 0.411647, -0.302449, -0.164777, 0.268230}; float y[8] = {-0.222225, 0.053970, -0.022603, 0.128871, -0.135216, 0.013401, 0.452230, 0.416195}; float a[32] = {0.135712, 0.217297, -0.343321, -0.099056, 0.112640, -0.203968, 0.026745, 0.269914, -0.358397, 0.106969, -0.370210, -0.391191, 0.137552, 0.024287, -0.099771, 0.391529, -0.483699, -0.257113, 0.498924, -0.281743, -0.006417, 0.472775, -0.216685, -0.147542, -0.362768, 0.304177, 0.012932, 0.339112, -0.207483, 0.271358, 0.307725, 0.419026}; cblas_cgeru(CblasColMajor, m, n, alpha, x, incx, y, incy, a, 4); /** * Output A: * -0.017847 0.119331 -0.444931 0.165040 -0.565962 -0.327440 -0.352610 0.793599 * -0.320256 -0.308135 -0.474544 -0.451172 0.529765 -0.402861 -0.488827 0.599533 * -0.141372 -0.264850 0.047453 0.143518 -0.150850 0.415971 0.035456 0.929981 * 0.185887 0.245696 -0.076018 0.302546 -0.121045 -0.148647 0.016127 0.099442 */ | 
Fortran interface:
      INTEGER :: M=4 
      INTEGER :: N=4 
      INTEGER :: LDA=4 
      INTEGER :: INCX=1 
      INTEGER :: INCY=1 
      COMPLEX(4) :: ALPHA=(1.0, 2.0) 
      COMPLEX(4) :: A(4, 4) 
      DATA A/(0.135712, 0.217297), (-0.343321, -0.099056), 
     $       (0.112640, -0.203968), (0.026745, 0.269914), 
     $       (-0.358397, 0.106969), (-0.370210, -0.391191), 
     $       (0.137552, 0.024287), (-0.099771, 0.391529), 
     $       (-0.483699, -0.257113), (0.498924, -0.281743), 
     $       (-0.006417, 0.472775), (-0.216685, -0.147542), 
     $       (-0.362768, 0.304177), (0.012932, 0.339112), 
     $       (-0.207483, 0.271358), (0.307725, 0.419026)/ 
      COMPLEX(4) :: X(4) 
      DATA X/(0.340188, -0.105617), (0.283099, 0.298440), 
     $       (0.411647, -0.302449), (-0.164777, 0.268230)/ 
      COMPLEX(4) :: Y(4) 
      DATA Y/(-0.222225, 0.053970), (-0.022603, 0.128871), 
     $       (-0.135216, 0.013401), (0.452230, 0.416195)/ 
      EXTERNAL CGERU 
      CALL CGERU(M, N, ALPHA, X, INCX, Y, INCY, A, LDA) 
 
*     Output A: 
     *    -0.017847 0.119331  -0.444931 0.165040  -0.565962 -0.327440 -0.352610 0.793599
     *    -0.320256 -0.308135 -0.474544 -0.451172 0.529765 -0.402861  -0.488827 0.599533
     *    -0.141372 -0.264850 0.047453 0.143518   -0.150850 0.415971  0.035456  0.929981
     *    0.185887  0.245696  -0.076018 0.302546  -0.121045 -0.148647 0.016127  0.099442