RMCP: Relaxed Mixed Constraint Preconditioners for saddle point linear systems arising in geomechanics
Authors:
- Luca BergamaschiLBLuca Bergamaschi
- Ángeles MartínezÁMÁngeles Martínez
- 1 May 2012
- journal article
- Published by Elsevier in Computer Methods in Applied Mechanics and Engineering
- Vol. 221-222, 54-62
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- On eigenvalue distribution of constraint‐preconditioned symmetric saddle point matricesNumerical Linear Algebra with Applications, 2011
- FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanicsJournal of Computational and Applied Mathematics, 2011
- Mixed Constraint Preconditioners for the iterative solution of FE coupled consolidation equationsJournal of Computational Physics, 2008
- Novel preconditioners for the iterative solution to FE-discretized coupled consolidation equationsComputer Methods in Applied Mechanics and Engineering, 2007
- Numerical solution of saddle point problemsActa Numerica, 2005
- Preconditioning Indefinite Systems in Interior Point Methods for OptimizationComputational Optimization and Applications, 2004
- Basin-scale compressibility of the northern Adriatic by the radioactive marker techniqueGéotechnique, 2002
- Robust Approximate Inverse Preconditioning for the Conjugate Gradient MethodSIAM Journal on Scientific Computing, 2000
- A comparative study of sparse approximate inverse preconditionersApplied Numerical Mathematics, 1999
- Asymptotic Convergence of Conjugate Gradient Methods for the Partial Symmetric EigenproblemNumerical Linear Algebra with Applications, 1997