AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix multiplication (MM) algorithms is revised and is formally presented with the use of Generating Tables and of linear transformations of the problem of MM. It is shown how to derive the exponent of MM below 2.67 even without the use of approximation algorithms
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
Available at INIST (FR), Document Supply Service, under shelf-number : 22495, issue : a.1992 n.87 / ...
available for noncommercial, educational purposes, provided that this copyright statement appears on...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...
AbstractA new improvement of author's techniques of trilinear aggregating, uniting and canceling, is...
AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, m...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
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...
Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar ope...
AbstractThe recent progress in the asymptotic acceleration of matrix multiplication and of related m...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
Available at INIST (FR), Document Supply Service, under shelf-number : 22495, issue : a.1992 n.87 / ...
available for noncommercial, educational purposes, provided that this copyright statement appears on...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...
AbstractA new improvement of author's techniques of trilinear aggregating, uniting and canceling, is...
AbstractThe paper is a systematic survey of recently developed methods for the acceleration of MM, m...
Matrix multiplication (hereafter we use the acronym MM) is among the most fundamental operations of ...
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...
Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar ope...
AbstractThe recent progress in the asymptotic acceleration of matrix multiplication and of related m...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
AbstractWe present several bilinear algorithms for the acceleration of multiplication of n X n matri...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
Available at INIST (FR), Document Supply Service, under shelf-number : 22495, issue : a.1992 n.87 / ...
available for noncommercial, educational purposes, provided that this copyright statement appears on...