In this thesis it is showed how an \(O(n^{4-\epsilon})\) algorithm for the cube multiplication problem (that is defined in the thesis) would imply a faster than naive \(O^{*}(2^{n(1-\frac{\epsilon}{4})})\) algorithm for the MAX-3SAT problem; this algorithm for MAX-3SAT is a generalization of the algorithm for the MAX-2SAT problem which was proposed by Ryan Williams; and cube multiplication, in turn, is defined as a generalization of the matrix multiplication problem for three-dimensional arrays. Approaches to find a faster than naive algorithm for cube multiplication are considered. Though no such algorithm was found using these approaches, it is showed how a variant of the Strassen algorithm for matrix multiplication could be found using t...
Strassen's algorithm is a divide and conquer matrix multiplication method that is mostly of theoreti...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm. The current upper ...
In this thesis it is showed how an \(O(n^{4-\epsilon})\) algorithm for the cube multiplication probl...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Win...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
The Strassen algorithm for multiplying 2 x 2 matrices requires seven multiplications and 18 addition...
The Level 3 BLAS (BLAS3) are a set of specifications of Fortran 77 subprograms for carrying out mat...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
AbstractThis paper develops optimal algorithms to multiply an n × n symmetric tridiagonal matrix by:...
The Level 3 BLAS (BLAS3) are a set of specifications of FORTRAN 77 subprograms for carrying out matr...
Strassen's algorithm is a divide and conquer matrix multiplication method that is mostly of theoreti...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm. The current upper ...
In this thesis it is showed how an \(O(n^{4-\epsilon})\) algorithm for the cube multiplication probl...
AbstractFirst we study asymptotically fast algorithms for rectangular matrix multiplication. We begi...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Copper-smith and Wi...
Until a few years ago, the fastest known matrix multiplication algorithm, due to Coppersmith and Win...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
The Strassen algorithm for multiplying 2 x 2 matrices requires seven multiplications and 18 addition...
The Level 3 BLAS (BLAS3) are a set of specifications of Fortran 77 subprograms for carrying out mat...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
AbstractThis paper develops optimal algorithms to multiply an n × n symmetric tridiagonal matrix by:...
The Level 3 BLAS (BLAS3) are a set of specifications of FORTRAN 77 subprograms for carrying out matr...
Strassen's algorithm is a divide and conquer matrix multiplication method that is mostly of theoreti...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
In 1969, V. Strassen improves the classical~2x2 matrix multiplication algorithm. The current upper ...