| Author: | Zhaojun Bai, Weiguo Gao, Yangfeng Su | ISBN: | 9789814675789 |
| Publisher: | World Scientific Publishing Company | Publication: | September 4, 2015 |
| Imprint: | WSPC/HEP | Language: | English |
| Author: | Zhaojun Bai, Weiguo Gao, Yangfeng Su |
| ISBN: | 9789814675789 |
| Publisher: | World Scientific Publishing Company |
| Publication: | September 4, 2015 |
| Imprint: | WSPC/HEP |
| Language: | English |
Matrix functions and matrix equations are widely used in science, engineering and social sciences due to the succinct and insightful way in which they allow problems to be formulated and solutions to be expressed. This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also well-suited for self-study. The broad content makes it convenient as a general reference to the subjects.
Contents:
- Matrix Functions: A Short Course (Nicholas J Higham and Lijing Lin)
- A Short Course on Exponential Integrators (Marlis Hochbruck)
- Matrix Equations and Model Reduction (Peter Benner, Tobias Breiten and Lihong Feng)
- Rayleigh Quotient Based Optimization Methods for Eigenvalue Problems (Ren-Cang Li)
- Factorization-Based Sparse Solvers and Preconditioners (Xiaoye Sherry Li)
Readership: Researchers and graduate students in numerical and computational mathematics.
Key Features:
- The book covers underlying theory and a variety of algorithms for matrix functions and matrix equations. The book also covers high performance linear system solvers and eigenvalue computations which are computational kernels to matrix functions and matrix equations
- The book provides the current developments and applications beyond the material found in regular university courses and textbooks. It includes a comprehensive list of latest references
- The authors of the chapters are leading experts who are also well-known for their expository skills
Matrix functions and matrix equations are widely used in science, engineering and social sciences due to the succinct and insightful way in which they allow problems to be formulated and solutions to be expressed. This book covers materials relevant to advanced undergraduate and graduate courses in numerical linear algebra and scientific computing. It is also well-suited for self-study. The broad content makes it convenient as a general reference to the subjects.
Contents:
- Matrix Functions: A Short Course (Nicholas J Higham and Lijing Lin)
- A Short Course on Exponential Integrators (Marlis Hochbruck)
- Matrix Equations and Model Reduction (Peter Benner, Tobias Breiten and Lihong Feng)
- Rayleigh Quotient Based Optimization Methods for Eigenvalue Problems (Ren-Cang Li)
- Factorization-Based Sparse Solvers and Preconditioners (Xiaoye Sherry Li)
Readership: Researchers and graduate students in numerical and computational mathematics.
Key Features:
- The book covers underlying theory and a variety of algorithms for matrix functions and matrix equations. The book also covers high performance linear system solvers and eigenvalue computations which are computational kernels to matrix functions and matrix equations
- The book provides the current developments and applications beyond the material found in regular university courses and textbooks. It includes a comprehensive list of latest references
- The authors of the chapters are leading experts who are also well-known for their expository skills
