A fundamental task in numerical computation is the solution of large linear systems. The conjugate gradient method is an iterative method which offers rapid convergence to the solution, particularly when an effective preconditioner is employed.
Jan 16, 2018
The conjugate gradient method is an iterative method which offers rapid convergence to the solution, particularly when an effective preconditioner is employed.
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Posted: Apr 3, 2023
Posted: Apr 3, 2023
This paper proposes a novel statistical model for this numerical error set in a Bayesian framework which is a strict generalisation of the conjugate ...
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The recent article "A Bayesian conjugate gradient method" by Cockayne, Oates, Ipsen, and Girolami proposes an approximately Bayesian iterative procedure for ...
May 1, 2019 · The Conjugate Gradient method is one of the most important ideas in scientific computing: It is applied for solving large sparse linear ...
Jun 25, 2019 · The method produces a posterior distribution on the solution x⁰, given a fixed computing effort, which makes it pertain to the anytime ...
The conjugate gradient method is an iterative method which offers rapid convergence to the solution, particularly when an effective preconditioner is employed.
Aug 7, 2020 · The Bayesian Conjugate Gradient method (BayesCG) is a probabilistic generalization of the Conjugate Gradient method (CG) for solving linear ...
We would like to congratulate the authors of "A Bayesian Conjugate Gradient Method" on their insightful paper, and welcome this publication which we firmly ...