A block preconditioned conjugate gradient-type iterative solver for linear systems in thermal reservoir simulation
DOI10.1016/0021-9991(86)90114-2zbMath0599.76113OpenAlexW2044871353MaRDI QIDQ1080752
Srinivas Betté, Julio C. Diaz, Trond Steihaug, William R. Jines
Publication date: 1986
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0021-9991(86)90114-2
rate of convergenceiterative schemeadaptive implicit finite-difference schemeblock-diagonal-scalingblock-incomplete-LU-decompositionblock-symmetric-Gauss-Seidel methodscross-sectional modelnonsymmetric systems of linear equationspreconditioned residual-norm-reducing iterative solvertruncated form of the generalized-conjugate-gradient method
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Cites Work
- Generalized conjugate-gradient acceleration of nonsymmetrizable iterative methods
- Numerical solution of nonlinear elliptic partial differential equations by a generalized conjugate gradient method
- Block diagonal scaling for iterative methods in thermal simulation
- Yale sparse matrix package I: The symmetric codes
- An Approximate Factorization Procedure for Solving Self-Adjoint Elliptic Difference Equations
- Methods of conjugate gradients for solving linear systems
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