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: Scientific ComputingScientific Computing
by - Harvey Mudd College
This course consists of both numerical methods and computational physics. MATLAB is used to solve various computational math problems. The course is primarily for Math majors and supposes no previous knowledge of numerical analysis or methods.
(2773 views)
Book cover: First Steps in Numerical AnalysisFirst Steps in Numerical Analysis
by
This book provides an excellent introduction to the elementary concepts and methods of numerical analysis for students meeting the subject for the first time. The subject matter is organized into fundamental topics and presented as a series of steps.
(9387 views)
Book cover: Programming for Computations - PythonProgramming for Computations - Python
by - Springer
This book presents Python programming as a key method for solving mathematical problems. The style is accessible and concise, the emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
(2846 views)
Book cover: Numerical StabilityNumerical Stability
by - Leiden University
Stability estimates and resolvent conditions in the numerical solution of initial value problems. Contents: Partial differential equations and numerical methods; Linear algebra; Stability in the numerical solution of differential equations; etc.
(5885 views)