This data package contains Maple worksheets with code executing algorithms pertaining to fraction-free Bunch-Hopcroft matrix inversion. The worksheets also include timing procedures used to obtain a log-log plot to describe the experimental asymptotic behaviour of the run time of the new fraction free algorithm. The plot and corresponding raw data are also included in the package. More information about these algorithms is available from the corresponding papers, 'Fast Matrix Operations in Computer Algebra' and 'On Fast Matrix Inversion'.The code was written at the University of Bath by Zak Tonks. "Fraction-Free Bunch-Hopcroft" is an adaptation of Bunch-Hopcroft matrix inversion as per references. The other algorithms used are as per refere...
Matrix multiplication is an operation that produces a matrix from two matrices and its applications...
We improve the current best running time value to invert sparse matrices over finite fields, lowerin...
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A Maple (2018) worksheet created to demonstrate cancellations found in the accompanying paper 'On Fa...
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n the last two decades several NC algorithms for solving basic linear algebraic problems have appear...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar ope...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
The Level 3 BLAS (BLAS3) are a set of specifications of FORTRAN 77 subprograms for carrying out matr...
The purpose of this paper is to calculate the running time of dense boolean matrix operations, as us...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
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...
We improve the current best running time value to invert sparse matrices over finite fields, lowerin...
The hardware-oriented algorithms for the fast Hauscholder transformation have been developed, and th...
A Maple (2018) worksheet created to demonstrate cancellations found in the accompanying paper 'On Fa...
AbstractThe main purpose of this paper is to present a fast matrix multiplication algorithm taken fr...
n the last two decades several NC algorithms for solving basic linear algebraic problems have appear...
Matrix multiplication is a basic operation of linear algebra, and has numerous applications to the t...
Fast algorithms for matrix multiplication, namely those that perform asymptotically fewer scalar ope...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
An iterative inversion algorithm for a class of square matrices is derived and tested. The inverted ...
The Level 3 BLAS (BLAS3) are a set of specifications of FORTRAN 77 subprograms for carrying out matr...
The purpose of this paper is to calculate the running time of dense boolean matrix operations, as us...
The main goal of this research is to use OpenMP, Posix Threads and Microsoft Parallel Patterns libra...
Matrix multiplication is significant in a lot of scientific fields, such as mathematics, physics and...
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...
We improve the current best running time value to invert sparse matrices over finite fields, lowerin...
The hardware-oriented algorithms for the fast Hauscholder transformation have been developed, and th...