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FOCS 2010

Solving Linear Systems through Nested Dissection

Conference Paper Accepted Paper Algorithms and Complexity ยท Theoretical Computer Science

Abstract

The generalized nested dissection method, developed by Lipton, Rose, and Tarjan, 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 A is a well-separable matrix (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 non-singular well-separable matrix over any field. The running times we obtain essentially match those of the nested dissection method.

Authors

Keywords

  • Transmission line matrix methods
  • Symmetric matrices
  • Particle separators
  • Sparse matrices
  • Linear systems
  • Complexity theory
  • Gallium
  • Linear System
  • Nested Dissection
  • Running Time
  • Symmetric Matrix
  • Positive Definite Matrix
  • Singular Matrix
  • Symmetric Positive Definite Matrix
  • Diagonal Matrix
  • Unique Solution
  • Matrix Multiplication
  • Extensive Field
  • System Of Linear Equations
  • Arithmetic Operations
  • Elimination Process
  • Triangular Matrix
  • Nonzero Entries
  • Linear Algebra
  • Recursive Algorithm
  • Finite Field
  • Largest Element
  • Planar Graphs
  • Gaussian Elimination
  • Entry In Row
  • Underlying Graph
  • Sparse Algorithm
  • Family Of Graphs
  • Subset Of Indices

Context

Venue
IEEE Symposium on Foundations of Computer Science
Archive span
1975-2025
Indexed papers
3809
Paper id
220644640724099243