ILUT: A dual threshold incomplete LU factorization
- 1 July 1994
- journal article
- research article
- Published by Wiley in Numerical Linear Algebra with Applications
- Vol. 1 (4) , 387-402
- https://doi.org/10.1002/nla.1680010405
Abstract
In this paper we describe an Incomplete LU factorization technique based on a strategy which combines two heuristics. This ILUT factorization extends the usual ILU(O) factorization without using the concept of level of fill‐in. There are two traditional ways of developing incomplete factorization preconditioners. The first uses a symbolic factorization approach in which a level of fill is attributed to each fill‐in element using only the graph of the matrix. Then each fill‐in that is introduced is dropped whenever its level of fill exceeds a certain threshold. The second class of methods consists of techniques derived from modifications of a given direct solver by including a dropoff rule, based on the numerical size of the fill‐ins introduced, traditionally referred to as threshold preconditioners. The first type of approach may not be reliable for indefinite problems, since it does not consider numerical values. The second is often far more expensive than the standard ILU(O). The strategy we propose is a compromise between these two extremes.Keywords
This publication has 12 references indexed in Scilit:
- Towards a cost-effective ILU preconditioner with high level fillBIT Numerical Mathematics, 1992
- Ordering Methods for Preconditioned Conjugate Gradient Methods Applied to Unstructured Grid ProblemsSIAM Journal on Matrix Analysis and Applications, 1992
- A parallel hybrid sparse linear system solverComputing Systems in Engineering, 1990
- Application of Sparse Matrix Solvers as Effective PreconditionersSIAM Journal on Scientific and Statistical Computing, 1989
- SOLVING SPARSE TRIANGULAR LINEAR SYSTEMS ON PARALLEL COMPUTERSInternational Journal of High Speed Computing, 1989
- Sparse matrix test problemsACM Transactions on Mathematical Software, 1989
- Preconditioning techniques for nonsymmetric and indefinite linear systemsJournal of Computational and Applied Mathematics, 1988
- Use of Iterative Refinement in the Solution of Sparse Linear SystemsSIAM Journal on Numerical Analysis, 1982
- A Conjugate Gradient-Truncated Direct Method for the Iterative Solution of the Reservoir Simulation Pressure EquationSociety of Petroleum Engineers Journal, 1981
- An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-MatrixMathematics of Computation, 1977