Lines Matching full:matrix
55 if(beta==Scalar(0)) matrix(c, *m, *n, *ldc).setZero();
56 else matrix(c, *m, *n, *ldc) *= beta;
144 matrix(b,*m,*n,*ldb) *= alpha;
220 Matrixmatrix(b,*m,*n,*ldb);
221 matrix(b,*m,*n,*ldb).setZero();
260 if(beta==Scalar(0)) matrix(c, *m, *n, *ldc).setZero();
261 else matrix(c, *m, *n, *ldc) *= beta;
270 // FIXME add support for symmetric complex matrix
272 Matrix<Scalar,Dynamic,Dynamic,ColMajor> matA(size,size);
275 matA.triangularView<Upper>() = matrix(a,size,size,*lda);
276 matA.triangularView<Lower>() = matrix(a,size,size,*lda).transpose();
280 matA.triangularView<Lower>() = matrix(a,size,size,*lda);
281 matA.triangularView<Upper>() = matrix(a,size,size,*lda).transpose();
284 matrix(c, *m, *n, *ldc) += alpha * matA * matrix(b, *m, *n, *ldb);
286 matrix(c, *m, *n, *ldc) += alpha * matrix(b, *m, *n, *ldb) * matA;
348 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Upper>().setZero();
349 else matrix(c, *n, *n, *ldc).triangularView<Upper>() *= beta;
351 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Lower>().setZero();
352 else matrix(c, *n, *n, *ldc).triangularView<Lower>() *= beta;
356 // FIXME add support for symmetric complex matrix
360 matrix(c, *n, *n, *ldc).triangularView<Upper>() += alpha * matrix(a,*n,*k,*lda) * matrix(a,*n,*k,*lda).transpose();
362 matrix(c, *n, *n, *ldc).triangularView<Upper>() += alpha * matrix(a,*k,*n,*lda).transpose() * matrix(a,*k,*n,*lda);
367 matrix(c, *n, *n, *ldc).triangularView<Lower>() += alpha * matrix(a,*n,*k,*lda) * matrix(a,*n,*k,*lda).transpose();
369 matrix(c, *n, *n, *ldc).triangularView<Lower>() += alpha * matrix(a,*k,*n,*lda).transpose() * matrix(a,*k,*n,*lda);
403 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Upper>().setZero();
404 else matrix(c, *n, *n, *ldc).triangularView<Upper>() *= beta;
406 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Lower>().setZero();
407 else matrix(c, *n, *n, *ldc).triangularView<Lower>() *= beta;
417 matrix(c, *n, *n, *ldc).triangularView<Upper>()
418 += alpha *matrix(a, *n, *k, *lda)*matrix(b, *n, *k, *ldb).transpose()
419 + alpha*matrix(b, *n, *k, *ldb)*matrix(a, *n, *k, *lda).transpose();
422 matrix(c, *n, *n, *ldc).triangularView<Lower>()
423 += alpha*matrix(a, *n, *k, *lda)*matrix(b, *n, *k, *ldb).transpose()
424 + alpha*matrix(b, *n, *k, *ldb)*matrix(a, *n, *k, *lda).transpose();
429 matrix(c, *n, *n, *ldc).triangularView<Upper>()
430 += alpha*matrix(a, *k, *n, *lda).transpose()*matrix(b, *k, *n, *ldb)
431 + alpha*matrix(b, *k, *n, *ldb).transpose()*matrix(a, *k, *n, *lda);
433 matrix(c, *n, *n, *ldc).triangularView<Lower>()
434 += alpha*matrix(a, *k, *n, *lda).transpose()*matrix(b, *k, *n, *ldb)
435 + alpha*matrix(b, *k, *n, *ldb).transpose()*matrix(a, *k, *n, *lda);
467 if(beta==Scalar(0)) matrix(c, *m, *n, *ldc).setZero();
468 else if(beta!=Scalar(1)) matrix(c, *m, *n, *ldc) *= beta;
485 if(UPLO(*uplo)==UP) matrix(c,*m,*n,*ldc) += alpha * matrix(b,*m,*n,*ldb) * matrix(a,*n,*n,*lda).selfadjointView<Upper>();/*internal::product_selfadjoint_matrix<Scalar,DenseIndex,ColMajor,false,false, RowMajor,true,Conj, ColMajor>
543 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Upper>().setZero();
544 else matrix(c, *n, *n, *ldc).triangularView<StrictlyUpper>() *= beta;
546 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Lower>().setZero();
547 else matrix(c, *n, *n, *ldc).triangularView<StrictlyLower>() *= beta;
551 matrix(c, *n, *n, *ldc).diagonal().real() *= beta;
552 matrix(c, *n, *n, *ldc).diagonal().imag().setZero();
559 matrix(c, *n, *n, *ldc).diagonal().imag().setZero();
588 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Upper>().setZero();
589 else matrix(c, *n, *n, *ldc).triangularView<StrictlyUpper>() *= beta;
591 if(beta==Scalar(0)) matrix(c, *n, *n, *ldc).triangularView<Lower>().setZero();
592 else matrix(c, *n, *n, *ldc).triangularView<StrictlyLower>() *= beta;
596 matrix(c, *n, *n, *ldc).diagonal().real() *= beta;
597 matrix(c, *n, *n, *ldc).diagonal().imag().setZero();
601 matrix(c, *n, *n, *ldc).diagonal().imag().setZero();
610 matrix(c, *n, *n, *ldc).triangularView<Upper>()
611 += alpha *matrix(a, *n, *k, *lda)*matrix(b, *n, *k, *ldb).adjoint()
612 + numext::conj(alpha)*matrix(b, *n, *k, *ldb)*matrix(a, *n, *k, *lda).adjoint();
615 matrix(c, *n, *n, *ldc).triangularView<Lower>()
616 += alpha*matrix(a, *n, *k, *lda)*matrix(b, *n, *k, *ldb).adjoint()
617 + numext::conj(alpha)*matrix(b, *n, *k, *ldb)*matrix(a, *n, *k, *lda).adjoint();
622 matrix(c, *n, *n, *ldc).triangularView<Upper>()
623 += alpha*matrix(a, *k, *n, *lda).adjoint()*matrix(b, *k, *n, *ldb)
624 + numext::conj(alpha)*matrix(b, *k, *n, *ldb).adjoint()*matrix(a, *k, *n, *lda);
626 matrix(c, *n, *n, *ldc).triangularView<Lower>()
627 += alpha*matrix(a, *k, *n, *lda).adjoint()*matrix(b, *k, *n, *ldb)
628 + numext::conj(alpha)*matrix(b, *k, *n, *ldb).adjoint()*matrix(a, *k, *n, *lda);
