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Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems

Conference Paper Session 2A Algorithms and Complexity · Theoretical Computer Science

Abstract

We present algorithms for solving symmetric, diagonally-dominant linear systems to accuracy ε in time linear in their number of non-zeros and log (κ f (A) ε), where κ f (A) is the condition number of the matrix defining the linear system. Our algorithm applies the preconditioned Chebyshev iteration with preconditioners designed using nearly-linear time algorithms for graph sparsification and graph partitioning.

Authors

Keywords

  • graph partitioning
  • graph sparsification
  • preconditioners

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
353510935224516586
v2026.09.13