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Iteratively constructing preconditioners via the conjugate gradient method

Conference Paper Session 4B Algorithms and Complexity ยท Theoretical Computer Science

Abstract

We consider the problem of solving a symmetric, positive definite system of linear equations.The most well-known and widely-used method for solving such systemsis the preconditioned Conjugate Gradient method.The performance of this method depends crucially on knowing a good preconditioner matrix.We show that the Conjugate Gradient method itself canproduce good preconditioners as a by-product. These preconditioners allow us to derive new asymptotic bounds on the timeto solve multiple related linear systems.

Authors

Keywords

  • conjugate gradient method
  • preconditioning

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
187005809360847758
v2026.09.13