176 Pages
by
Routledge
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The problem of solving large, sparse, linear systems of algebraic equations is vital in scientific computing, even for applications originating from quite different fields. A Survey of Preconditioned Iterative Methods presents an up to date overview of iterative methods for numerical solution of such systems. Typically, the methods considered are w
Preface
1. Introduction
2. Iterative methods based on matrix
3. Krylov subspace methods
4. Preconditioners for linear of equations
5. Epilogue
Appendix A: Some notation and useful properties
Bibliography
Index
1. Introduction
2. Iterative methods based on matrix
3. Krylov subspace methods
4. Preconditioners for linear of equations
5. Epilogue
Appendix A: Some notation and useful properties
Bibliography
Index
Biography
Are Magnus Bruaset
"... provides an excellent orientation in the state of the art in iterative solution of linear algebraic systems ..."
-Zentralblatt fur Mathematik No. 834
