mult_matrixT_mult_matrixMultMatrixMultMatrixmult_matrix (算子名称)

名称

mult_matrixT_mult_matrixMultMatrixMultMatrixmult_matrix — Multiply two matrices.

参数签名

描述

该算子 mult_matrixmult_matrixMultMatrixMultMatrixMultMatrixmult_matrix computes the product of the input matrices MatrixA and MatrixB defined by the matrix handles MatrixAIDMatrixAIDMatrixAIDMatrixAIDmatrixAIDmatrix_aid and MatrixBIDMatrixBIDMatrixBIDMatrixBIDmatrixBIDmatrix_bid. A new matrix MatrixMult is generated with the result. The operator returns the matrix handle MatrixMultIDMatrixMultIDMatrixMultIDMatrixMultIDmatrixMultIDmatrix_mult_id of the matrix MatrixMult. Access to the elements of the matrix is possible e.g., with 该算子 get_full_matrixget_full_matrixGetFullMatrixGetFullMatrixGetFullMatrixget_full_matrix. If desired, one or both input matrices will be transposed for the multiplication.

The type of multiplication can be selected via MultTypeMultTypeMultTypeMultTypemultTypemult_type:

'AB'"AB""AB""AB""AB""AB":

The matrices MatrixA and MatrixB will not be transposed. Therefore, the formula for the calculation of the result is:

The number of columns of the matrix MatrixA must be identical to the number of rows of the matrix MatrixB.

Example:

'ATB'"ATB""ATB""ATB""ATB""ATB":

The matrix MatrixA will be transposed. The matrix MatrixB will not be transposed. Therefore, the formula for the calculation of the result is:

The number of rows of the matrix MatrixA must be identical to the number of rows of the matrix MatrixB.

Example:

'ABT'"ABT""ABT""ABT""ABT""ABT":

The matrix MatrixA will not be transposed. The matrix MatrixB will be transposed. Therefore, the formula for the calculation of the result is:

The number of columns of the matrix MatrixA must be identical to the number of columns of the matrix MatrixB.

Example:

'ATBT'"ATBT""ATBT""ATBT""ATBT""ATBT":

The matrix MatrixA and the matrix MatrixB will be transposed. Therefore, the formula for the calculation of the result is:

The number of rows of the matrix MatrixA must be identical to the number of columns of the matrix MatrixB.

Example:

运行信息

• 多线程类型:可重入(与非独占操作符并行运行)。
• 多线程作用域:全局(可以从任何线程调用)。
• 未经并行化处理。

参数表

结果

如果参数均有效，算子 mult_matrixmult_matrixMultMatrixMultMatrixMultMatrixmult_matrix 返回值 2 ( H_MSG_TRUE) . 如有必要，将引发异常。

可能的前置算子

create_matrixcreate_matrixCreateMatrixCreateMatrixCreateMatrixcreate_matrix

可能的后置算子

get_full_matrixget_full_matrixGetFullMatrixGetFullMatrixGetFullMatrixget_full_matrix, get_value_matrixget_value_matrixGetValueMatrixGetValueMatrixGetValueMatrixget_value_matrix

可替代算子

mult_matrix_modmult_matrix_modMultMatrixModMultMatrixModMultMatrixModmult_matrix_mod

参考其它

mult_element_matrixmult_element_matrixMultElementMatrixMultElementMatrixMultElementMatrixmult_element_matrix, mult_element_matrix_modmult_element_matrix_modMultElementMatrixModMultElementMatrixModMultElementMatrixModmult_element_matrix_mod, div_element_matrixdiv_element_matrixDivElementMatrixDivElementMatrixDivElementMatrixdiv_element_matrix, div_element_matrix_moddiv_element_matrix_modDivElementMatrixModDivElementMatrixModDivElementMatrixModdiv_element_matrix_mod, transpose_matrixtranspose_matrixTransposeMatrixTransposeMatrixTransposeMatrixtranspose_matrix, transpose_matrix_modtranspose_matrix_modTransposeMatrixModTransposeMatrixModTransposeMatrixModtranspose_matrix_mod

References

David Poole: “Linear Algebra: A Modern Introduction”; Thomson; Belmont; 2006.
Gene H. Golub, Charles F. van Loan: “Matrix Computations”; The Johns Hopkins University Press; Baltimore and London; 1996.

模块

Foundation

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