We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There are two components to this approach: (1) identifying groups G that admit a certain type of embedding of matrix multiplication into the group algebra C[G], and (2) controlling the dimensions of the irreducible representations of such groups. We present machinery and examples to support (1), including a proof that certain families of groups of order n^(2+o(1)) support n × n matrix multiplication, a necessary condition for the approach to yield exponent 2. Although we cannot yet completely achieve both (1) and (2), we hope that it may be possible, and we suggest potential routes to that result using the constructions in this paper
In 2003, Cohn and Umans described a framework for proving upper bounds on the exponent ω of matrix m...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There ...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
available for noncommercial, educational purposes, provided that this copyright statement appears on...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplic...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
We introduce a relaxation of the notion of tensor rank, called s-rank, and show that upper bounds on...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
In 2003, Cohn and Umans described a framework for proving upper bounds on the exponent ω of matrix m...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There ...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
available for noncommercial, educational purposes, provided that this copyright statement appears on...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
© 2018 IEEE. We study the known techniques for designing Matrix Multiplication algorithms. The two ...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplic...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
We introduce a relaxation of the notion of tensor rank, called s-rank, and show that upper bounds on...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
In 2003, Cohn and Umans described a framework for proving upper bounds on the exponent ω of matrix m...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...