**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

**Numerical Methods Course Notes**

by

**Steven E. Pav**-

**University of California at San Diego**

From the table of contents: A 'Crash' Course in octave/Matlab; Solving Linear Systems; Finding Roots; Interpolation; Spline Interpolation; Approximating Derivatives; Integrals and Quadrature; Least Squares; Ordinary Differential Equations.

(

**15878**views)

**Numerical Solutions of Engineering Problems**

by

**K. Nandakumar**-

**University of Alberta**

Contents: On mathematical models; Single nonlinear algebraic equation; System of linear and nonlinear algebraic equations; Numerical differentiation and integration; Ordinary differential equations; Boundary value problems; etc.

(

**16174**views)

**Introduction to Numerical Methods**

by

**Jeffrey R. Chasnov**-

**The Hong Kong University**

This is primarily for non-mathematics majors and is required by several engineering departments. Contents: IEEE Arithmetic; Root Finding; Systems of equations; Least-squares approximation; Interpolation; Integration; Ordinary differential equations.

(

**9625**views)

**Programming for Computations - Python**

by

**Svein Linge, Hans Petter Langtangen**-

**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.

(

**9945**views)