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Describes the principles and history behind the use of Krylov subspace methods in science and engineering. The outcome of the analysis is very practical and ind
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A succinct and complete explanation of Krylov subspace methods for solving systems of equations Krylov Subspace Methods with Application in Incompressible Fluid
Iterative Krylov Methods for Large Linear Systems
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The Matrix Eigenvalue Problem
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The first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like
Iterative Methods for Sparse Linear Systems
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