**Iterative Methods for Linear and Nonlinear Equations**

by C.T. Kelley

**Publisher**: SIAM 1995**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.

Download or read it online for free here:

**Download link**

(780KB, PDF)

## Similar books

**The Numerical Approximation of Functional Differential Equations**

by

**Daniele Venturi**-

**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.

(

**5121**views)

**Introduction to Fortran 95 and Numerical Computing**

by

**Adrian Sandu**-

**Virginia Tech**

Contents: a quick tour of fortran 95; the building blocks of a fortran application; flow control; computer arithmetic; applications; intrinsic functions; input and output; arrays; more on procedures; parametrized intrinsic types; derived types; etc.

(

**10649**views)

**Finite Difference Computing with PDEs**

by

**Hans Petter Langtangen, Svein Linge**-

**Springer**

This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners.

(

**3799**views)

**Numerical Recipes in Fortran 90**

by

**William H. Press, at al.**-

**Cambridge University Press**

Numerical Recipes in Fortran 90 contains a detailed introduction to the Fortran 90 language and to the basic concepts of parallel programming, plus source code for all routines from the second edition of Numerical Recipes.

(

**14791**views)