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Everything about Preconditioner

Transforms equations for numerical solution

In mathematics, preconditioning is the application of a transformation, called the preconditioner, that conditions a given problem into a form that is more suitable for numerical solving methods. Preconditioning is typically related to reducing a condition number of the problem. The preconditioned problem is then usually solved by an iterative method. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: PreconditionerA 5-minute orientation
  2. Skim a recent paper: A GPU-based multilevel additive schwarz preconditioner for cloth and deformable body simulationInfluential work since 2022
  3. Pick up a classic book: Introduction to linear algebraThe most-reprinted book on the subject
  4. Read the landmark paper: BoomerAMG: A parallel algebraic multigrid solver and preconditionerCited 723 times
  5. Go sideways: Modified Richardson iterationA closely related topic
  6. Go sideways: Conjugate gradient squared methodA closely related topic

📖 Definitions

Noun A matrix that has a smaller condition number than another.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics