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Krylov Subspace Methods for Linear Systems - (Springer Computational Mathematics) by  Tomohiro Sogabe (Paperback) - 1 of 1

Krylov Subspace Methods for Linear Systems - (Springer Computational Mathematics) by Tomohiro Sogabe (Paperback)

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Highlights

  • About the Author: He is an associate professor at the department of Applied Physics, Nagoya University, Japan.
  • 225 Pages
  • Mathematics, Number Systems
  • Series Name: Springer Computational Mathematics

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From the Back Cover



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.



About the Author



He is an associate professor at the department of Applied Physics, Nagoya University, Japan. His research interests include numerical linear algebra, numerical multilinear algebra, and scientific computing. He published over 70 research articles and is best known for extensions of the Conjugate Residual method: the BiCR method and the COCR method for large and sparse linear systems. He serves as an editor of Japan Journal of Industrial and Applied Mathematics, Springer, since 2019. He is a member of the board of directors of Japan SIAM since 2021.
Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .51 Inches (D)
Weight: .75 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 225
Genre: Mathematics
Sub-Genre: Number Systems
Series Title: Springer Computational Mathematics
Publisher: Springer
Format: Paperback
Author: Tomohiro Sogabe
Language: English
Street Date: January 21, 2024
TCIN: 1011991603
UPC: 9789811985348
Item Number (DPCI): 247-24-6328
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.51 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 0.75 pounds
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