Authors: Krystyna STYŚ, Tadeusz STYŚ

Lecture Notes in Numerical Analysis with Mathematica

eBook: US $39 Special Offer (PDF + Printed Copy): US $138
Printed Copy: US $119
Library License: US $156
ISBN: 978-1-60805-943-0 (Print)
ISBN: 978-1-60805-942-3 (Online)
Year of Publication: 2014
DOI: 10.2174/97816080594231140101



This text is intended for science and engineering students. It covers most of the topics taught in a first course on numerical analysis and requires some basic knowledge in calculus, linear algebra and computing. The text has been used as recommended handbook for courses taught on numerical analysis at undergraduate level. Each chapter ends with a number of questions. It is taken for granted if the reader has access to computer facilities for solving some of these questions using Mathematica. There is extensive literature published on numerical analysis including books on undergraduate and postgraduate levels. As the text for a first course in numerical analysis, this handbook contains classical content of the subject with emphases put on error analysis, optimal algorithms and their implementation in computer arithmetic. There is also a desire that the reader will find interesting theorems with proofs and verity of examples with programs in Mathematica which help reading the text. The first chapter is designed for floating point computer arithmetic and round-off error analysis of simple algorithms. It also includes the notion of well conditioned problems and concept of complexity and stability of algorithms.

Within chapter 2, interpolation of functions is discussed. The problem of interpolation first is stated in its simplest form for polynomials, and then is extended to generalized polynomials. Different Chebyshev’s systems for generalized interpolating polynomials are considered.

In chapter 3, polynomial splines are considered for uniform approximation of an one variable function.

Fundamental theorems on uniform approximation (Taylor’s theorem,Weierstrass theorem, Equi-Oscillation Chebeshev’s theorem) are stated and proved in chapter 4.

Chapter 5 is an introduction to the least squares method and contains approximation of functions in the norm of L2(a, b) space. Also, it contains approximation of discrete data and an analysis of experimental data.

In the chapter 6, two techniques of numerical integration are developed, the Newton-Cotes methods and Gauss methods. In both methods an error analysis is carried out.

For solution of non-linear algebraic equations, the most popular methods, such as Fixed Point Iterations, NewtonMethod, SecantMethod and BisectionMethod, are described in chapter 7.

Krystyna STYŠ
University of Warsaw, Poland
Tadeusz STYŠ
University of Warsaw, Poland