available for noncommercial, educational purposes, provided that this copyright statement appears on the reproduced materials and notice is given that the copy-ing is by permission of the author. To disseminate otherwise or to republish re-quires written permission from the author. Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the two input matrices into a group algebra, ap-plying a generalized discrete Fourier transform, and performing the multi-plication in the Fourier basis. Developing an embedding that yields a ma-trix multiplication algorithm with running time faster than naive matrix multiplication leads to interesting combinatorial problems in group theory. The crux of such an embedd...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
The discrete Fourier transform on a group G converts data associated with group elements to a basis ...
This paper introduces new techniques for the efficient computation of a Fourier transform on a finit...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...
We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There ...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
We present a new fast search algorithm for (m,m,m) Triple Product Property (TPP) triples as defined ...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
This dissertation reviews the theory of fast matrix multiplication from a multilinear-algebraic poin...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
We give an new arithmetic algorithm to compute the generalized Discrete Fourier Transform (DFT) over...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
The discrete Fourier transform on a group G converts data associated with group elements to a basis ...
This paper introduces new techniques for the efficient computation of a Fourier transform on a finit...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...
We develop a new, group-theoretic approach to bounding the exponent of matrix multiplication. There ...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
We present a new fast search algorithm for (m,m,m) Triple Product Property (TPP) triples as defined ...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
By Prof. Anderson’s guidance, I’ve implemented an algorithm that can reduce the computational comple...
We perform forward error analysis for a large class of recursive matrix multiplication algorithms in...
This dissertation reviews the theory of fast matrix multiplication from a multilinear-algebraic poin...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
We give an new arithmetic algorithm to compute the generalized Discrete Fourier Transform (DFT) over...
In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplicati...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
The discrete Fourier transform on a group G converts data associated with group elements to a basis ...
This paper introduces new techniques for the efficient computation of a Fourier transform on a finit...