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Krylov Subspace Methods for Linear Systems - Principles of Algorithms (Hardcover, 1st ed. 2022)
Loot Price: R3,781
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Krylov Subspace Methods for Linear Systems - Principles of Algorithms (Hardcover, 1st ed. 2022)
Series: Springer Series in Computational Mathematics, 60
Expected to ship within 10 - 15 working days
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This book focuses on Krylov subspace methods for solving linear
systems, which are known as one of the top 10 algorithms in the
twentieth century, such as Fast Fourier Transform and Quick Sort
(SIAM News, 2000). Theoretical aspects of Krylov subspace methods
developed in the twentieth century are explained and derived in a
concise and unified way. Furthermore, some Krylov subspace methods
in the twenty-first century are described in detail, such as the
COCR method for complex symmetric linear systems, the BiCR method,
and the IDR(s) method for non-Hermitian linear systems. The
strength of the book is not only in describing principles of Krylov
subspace methods but in providing a variety of applications:
shifted linear systems and matrix functions from the theoretical
point of view, as well as partial differential equations,
computational physics, computational particle physics,
optimizations, and machine learning from a practical point of view.
The book is self-contained in that basic necessary concepts of
numerical linear algebra are explained, making it suitable for
senior undergraduates, postgraduates, and researchers in
mathematics, engineering, and computational science. Readers will
find it a useful resource for understanding the principles and
properties of Krylov subspace methods and correctly using those
methods for solving problems in the future.
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