A mixed cellular method of matrix multiplication Export

@article{citeulike:4053723, abstract = {A mixed cellular method of matrix multiplication is proposed that combines the Strassen method with a fast cellular method of matrix multiplication. The interaction of these methods makes it possible to decrease the multiplicative and additive complexities of well-known matrix multiplication algorithms by 25\%. Estimates of computational complexity of cellular analogues of the mentioned algorithms are given.}, author = {Jelfimova, L.}, citeulike-article-id = {4053723}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s10559-009-9083-7}, citeulike-linkout-1 = {http://www.springerlink.com/content/36814766u95h47x2}, doi = {10.1007/s10559-009-9083-7}, journal = {Cybernetics and Systems Analysis}, posted-at = {2009-02-22 02:51:32}, priority = {2}, title = {A mixed cellular method of matrix multiplication}, url = {http://dx.doi.org/10.1007/s10559-009-9083-7} }

TY - JOUR ID - citeulike:4053723 L3 - citeulike-article-id:4053723 N2 - A mixed cellular method of matrix multiplication is proposed that combines the Strassen method with a fast cellular method of matrix multiplication. The interaction of these methods makes it possible to decrease the multiplicative and additive complexities of well-known matrix multiplication algorithms by 25%. Estimates of computational complexity of cellular analogues of the mentioned algorithms are given. JF - Cybernetics and Systems Analysis TI - A mixed cellular method of matrix multiplication AU - Jelfimova, L UR - http://dx.doi.org/10.1007/s10559-009-9083-7 ER -