Logo

First Steps in Numerical Analysis

Large book cover: First Steps in Numerical Analysis

First Steps in Numerical Analysis
by


ISBN/ASIN: 0340631996
Number of pages: 338

Description:
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. At the end of each step, checkpoints are included to allow the reader to gauge their understanding of the concepts introduced.

This document is no more available for free.

Similar books

Book cover: Computational Mathematics for Differential EquationsComputational Mathematics for Differential Equations
by
This is a manual on solving problems in computational mathematics. The book is intended primarily for engineering students, but may also prove useful for economics students, graduate engineers, and postgraduate students in the applied sciences.
(15275 views)
Book cover: Lectures on Numerical AnalysisLectures on Numerical Analysis
by - University of Pennsylvania
Contents: Differential and Difference Equations (Linear equations with constant coefficients, Difference equations, Stability theory); The Numerical Solution of Differential Equations (Euler's method); Numerical linear algebra.
(9182 views)
Book cover: Iterative Methods for Linear and Nonlinear EquationsIterative Methods for Linear and Nonlinear Equations
by - SIAM
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.
(8473 views)
Book cover: Numerical Algorithms: Methods for Computer Vision, Machine Learning, and GraphicsNumerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
by - CRC Press
Using examples from a broad base of computational tasks, including data processing and computational photography, the book introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into theoretical tools.
(6538 views)