
Problems And Solutions In Scientific Computing With C++ And Java Simulations
World Scientific Publishing Co Pte Ltd
Published on 3. November 2004
Book
Paperback/Softback
432 pages
978-981-256-125-1 (ISBN)
Description
Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms, etc.Presented in the format of problems and detailed solutions, important concepts and techniques are introduced and developed. Many problems include software simulations. Algorithms have detailed implementations in C++ or Java. This book will prove to be invaluable not only to students and research workers in the fields of scientific computing, but also to teachers of this subject who will find this text useful as a supplement.The topics discussed in this book are part of the e-learning and distance learning courses conducted by the International School of Scientific Computing, South Africa.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 155 mm
Thickness: 24 mm
Weight
621 gr
ISBN-13
978-981-256-125-1 (9789812561251)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Author
Univ Of Zurich (Eth Zurich), Switzerland
Univ Of Johannesburg, South Africa
Univ Of The Witwatersrand, Johannesburg, South Africa
Univ Of Johannesburg, South Africa
Content
Quickies; Bitwise Operations; Number Manipulations; Combinatorical Problems; Matrix Calculus; Recursion; Finite State Machines; Lists, Trees and Queues; Numerical Techniques; Random Numbers and Monte Carlo Techniques; Ordinary Differential Equations; Partial Differential Equations; Wavelets; Graphs; Neural Networks; Genetic Algorithms; Optimization; File and String Manipulations; Computer Graphics.