AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, matrix multiplication, with some attention to the connections between MM and other computational problems (Boolean MM, Direct Sum Conjecture or DSC). The techniques of trilinear aggregating, uniting and canceling, AUC, due to the author, give the exponent < 2.77614 and a small constant defining an upper bounds on the both complexities, of MM and Boolean MM. By combining AUC with other recent techniques due to Bini, Capovani, Lotti, Romani, Schönhage and Winograd, the exponent was recently reduced to less than 2.5161 by the price of a serious increase of the constant. The AUC techniques are used to disprove DSC over the class of any precision a...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
© Josh Alman and Virginia V. Williams. We consider the techniques behind the current best algorithms...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, m...
AbstractA new improvement of author's techniques of trilinear aggregating, uniting and canceling, is...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...
AbstractThe recent progress in the asymptotic acceleration of matrix multiplication and of related m...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
We present a new method for accelerating matrix multiplication asymptotically. Thiswork builds on re...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Matrix multiplication is commonly used in scientific computation. Given matrices A = (aij ) of size ...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
© Josh Alman and Virginia V. Williams. We consider the techniques behind the current best algorithms...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, m...
AbstractA new improvement of author's techniques of trilinear aggregating, uniting and canceling, is...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...
AbstractThe recent progress in the asymptotic acceleration of matrix multiplication and of related m...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
We present a new method for accelerating matrix multiplication asymptotically. Thiswork builds on re...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Matrix multiplication is commonly used in scientific computation. Given matrices A = (aij ) of size ...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
© Josh Alman and Virginia V. Williams. We consider the techniques behind the current best algorithms...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...