Logo

Iterative Methods for Linear and Nonlinear Equations

Large book cover: Iterative Methods for Linear and Nonlinear Equations

Iterative Methods for Linear and Nonlinear Equations
by

Publisher: SIAM
ISBN/ASIN: 0898713528
ISBN-13: 9780898713527
Number of pages: 172

Description:
This book focuses on a small number of methods and treats them in depth. The author provides a complete analysis of the conjugate gradient and generalized minimum residual iterations as well as recent advances including Newton-Krylov methods, incorporation of inexactness and noise into the analysis, new proofs and implementations of Broyden's method, and globalization of inexact Newton methods.

Home page url

Download or read it online for free here:
Download link
(780KB, PDF)

Similar books

Book cover: Robust Geometric ComputationRobust Geometric Computation
by - New York University
Contents: Introduction to Geometric Nonrobustness; Modes of Numerical Computation; Geometric Computation; Arithmetic Approaches; Geometric Approaches; Exact Geometric Computation; Perturbation; Filters; Algebraic Background; Zero Bounds; etc.
(6989 views)
Book cover: Introduction to the Numerical Integration of PDEsIntroduction to the Numerical Integration of PDEs
by - University of Durham
In these notes, we describe the design of a small C++ program which solves numerically the sine-Gordon equation. The program is build progressively to make it multipurpose and easy to modify to solve any system of partial differential equations.
(8675 views)
Book cover: Solving PDEs in PythonSolving PDEs in Python
by - Springer
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, it guides readers through the essential steps to quickly solving a PDE in FEniCS.
(1976 views)
Book cover: The Numerical Approximation of Functional Differential EquationsThe Numerical Approximation of Functional Differential Equations
by - arXiv
The purpose of this manuscript is to provide a new perspective on the problem of numerical approximation of nonlinear functionals and functional differential equations. The proposed methods will be described and demonstrated in various examples.
(3487 views)