In 2003 Cohn and Umans introduced a new group-theoretic framework for doing fast matrix multiplications, with several conjectures that would imply the matrix multiplication exponent $\omega$ is 2. Their methods have been used to match one of the fastest known algorithms by Coppersmith and Winograd, which runs in $O(n^{2.376})$ time and implies that $\omega \leq 2.376$. This thesis discusses the framework that Cohn and Umans came up with and presents some new results in constructing combinatorial objects called uniquely solvable puzzles that were introduced in a 2005 follow-up paper, and which play a crucial role in one of the $\omega = 2$ conjectures
Matrix multiplication is a core building block for numerous scientific computing and, more recently,...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
Researchers Cohn and Umans proposed a framework for fast matrix multiplication algorithms. Their app...
The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplic...
This dissertation reviews the theory of fast matrix multiplication from a multilinear-algebraic poin...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
We present several variants of the sunflower conjecture of Erdős and Rado and discuss the relations ...
We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebr...
Matrix multiplication is a core building block for numerous scientific computing and, more recently,...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...
We further develop the group-theoretic approach to fast matrix multiplication introduced by Cohn and...
Recent work has shown that fast matrix multiplication algorithms can be constructed by embedding the...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
Based on Cohn and Umans’ group-theoretic method, we embed matrix multiplication into several group...
Researchers Cohn and Umans proposed a framework for fast matrix multiplication algorithms. Their app...
The Cohn-Umans group-theoretic approach to matrix multiplication suggests embedding matrix multiplic...
This dissertation reviews the theory of fast matrix multiplication from a multilinear-algebraic poin...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
We present several variants of the sunflower conjecture of Erdős and Rado and discuss the relations ...
We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebr...
Matrix multiplication is a core building block for numerous scientific computing and, more recently,...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe method of trilinear aggregating with implicit canceling for the design of fast matrix mu...