Matrix Stretching for Linear Equations
Numerical Analysis
2012-03-13 v1 Numerical Analysis
Abstract
Stretching is a new sparse matrix method that makes matrices sparser by making them larger. Stretching has implications for computational complexity theory and applications in scientific and parallel computing. It changes matrix sparsity patterns to render linear equations more easily solved by parallel and sparse techniques. Some stretchings increase matrix condition numbers only moderately, and thus solve linear equations stably. For example, these stretchings solve arrow equations with accuracy and expense preferable to other solution methods.
Cite
@article{arxiv.1203.2377,
title = {Matrix Stretching for Linear Equations},
author = {Joseph F. Grcar},
journal= {arXiv preprint arXiv:1203.2377},
year = {2012}
}
Comments
68 pages, 14 figures, 2 tables