| Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. The purpose of this book is to supply a collection of problems together with their detailed solution which will prove to be valuable to students as well as to research workers in the fields of scientific computing. The book provides the various skills and techniques needed in scientiic computing. The topics range in difficulty from elementary to advanced. Almost all problems are solved in detail and most of the problems are selfcontained. A number of problems contain C++ or Java code. All fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms etc. All relevant definitions are given. Students can learn important principles and strategies required for problem solving. Chapter 1 gives a gentle introduction to problems in scientific computing. Teachers will also find this text useful as a supplement, since important concepts and techniques are developed in the problems. Basic knowledge in linear algebra, analysis, C++ and Java programming are required. We have tested the C++ programs with gcc 3.3 and Microsoft Visual Studio.NET (VC 7). The Java programs have been tested with version 1.5.0. The material was tested in our lectures given around the world.
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