（原）mkl用到的函数

转载请注明出处：

http://www.cnblogs.com/darkknightzh/p/5585301.html

计算 $C=\alpha *A*B+\beta *C$ ：

void cblas_sgemm(const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa, const CBLAS_TRANSPOSE transb, const MKL_INT m, const MKL_INT n, const MKL_INT k, const float alpha, const float *a, const MKL_INT lda, const float *b, const MKL_INT ldb, const float beta, float *c, const MKL_INT ldc);

void cblas_dgemm(const CBLAS_LAYOUT Layout, const CBLAS_TRANSPOSE transa, const CBLAS_TRANSPOSE transb, const MKL_INT m, const MKL_INT n, const MKL_INT k, const double    alpha, const double *a, const MKL_INT lda, const double *b, const MKL_INT ldb, const double beta, double *c, const MKL_INT ldc);

地址：http://www.cnblogs.com/darkknightzh/p/5553336.html

计算逆矩阵：

lapack_int LAPACKE_sgesv(int matrix_layout, lapack_int n, lapack_int nrhs, float * a, lapack_int lda, lapack_int * ipiv, float * b, lapack_int ldb);

地址：http://www.cnblogs.com/darkknightzh/p/5578027.html

计算特征值和特征向量：

lapack_int LAPACKE_sgeev(int matrix_layout, char jobvl, char jobvr, lapack_int n, float* a, lapack_int lda, float* wr, float* wi, float* vl, lapack_int ldvl, float* vr, lapack_int ldvr);

lapack_int LAPACKE_ssyevd(int matrix_layout, char jobz, char uplo, lapack_int n, float* a, lapack_int lda, float* w);

lapack_int LAPACKE_ssyev(int matrix_layout, char jobz, char uplo, lapack_int n, float* a, lapack_int lda, float* w);

lapack_int LAPACKE_ssyevr(int matrix_layout, char jobz, char range, char uplo, lapack_int n, float* a, lapack_int lda, float vl, float vu, lapack_int il, lapack_int iu, float abstol, lapack_int* m, float* w, float* z, lapack_int ldz, lapack_int* isuppz);