Abstract
The generalized nested dissection method, developed by Lipton et al. [1979], is a seminal method for solving a linear system Ax = b where A is a symmetric positive definite matrix. The method runs extremely fast whenever Ais a well-separablematrix (such as matrices whose underlying support is planar or avoids a fixed minor). In this work, we extend the nested dissection method to apply to any nonsingular well-separable matrix over any field. The running times we obtain essentially match those of the nested dissection method. An important tool is a novel method for matrix sparsification that preserves determinants and minors, and that guarantees that constant powers of the sparsified matrix remain sparse.
Original language | English |
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Article number | 25 |
Journal | Journal of the ACM |
Volume | 60 |
Issue number | 4 |
DOIs | |
State | Published - Aug 2013 |
Keywords
- Gaussian elimination
- Linear system
- Matrix sparsification
- Nested dissection
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Information Systems
- Hardware and Architecture
- Artificial Intelligence