简介
Matrix functions and matrix equations are widely used in science, engineering and the social sciences, due to the succinct and insightfulway in which they allow problems to be formulated and solutions to be expressed. This book covers material 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 state-of-the-art on the subjects.
目录
Nicholas J Higham, Lijing Lin
Matrix Functions: A Short Course
Marlis Hochbruck
A Short Course on Exponential Integrators
Peter Benner, Tobias Breiten, Lihong Feng
Matrix Equations and Model Reduction
Ren-Cang Li
Rayleigh Quotient Based Optimization Methods for
Eigenvalue Problems
Xiaoye Sherry Li
Factorization-Based Sparse Solvers and Preconditioners
Matrix Functions: A Short Course
Marlis Hochbruck
A Short Course on Exponential Integrators
Peter Benner, Tobias Breiten, Lihong Feng
Matrix Equations and Model Reduction
Ren-Cang Li
Rayleigh Quotient Based Optimization Methods for
Eigenvalue Problems
Xiaoye Sherry Li
Factorization-Based Sparse Solvers and Preconditioners
矩阵函数与矩阵方程
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