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OverviewNumerical methods naturally lend themselves to an object-oriented approach. Mathematics builds high- level ideas on top of previously described, simpler ones. Once a property is demonstrated for a given concept, it can be applied to any new concept sharing the same premise as the original one, similar to the ideas of reuse and inheritance in object-oriented (OO) methodology. Few books on numerical methods teach developers much about designing and building good code. Good computing routines are problem-specific. Insight and understanding are what is needed, rather than just recipes and black box routines. Developers need the ability to construct new programs for different applications. Object-Oriented Implementation of Numerical Methods reveals a complete OO design methodology in a clear and systematic way. Each method is presented in a consistent format, beginning with a short explanation and following with a description of the general OO architecture for the algorithm. Next, the code implementations are discussed and presented along with real-world examples that the author, an experienced software engineer, has used in a variety of commercial applications. On the enclosed CD-ROM, you'll find files containing tested source code implementations of all the algorithms discussed in the book in both Java and Smalltalk. This includes repository files for VisualAge for Java and VisualAge for Smalltalk under ENVY. Full Product DetailsAuthor: Didier H. Besset (Consultant, Geneva, Switzerland.)Publisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Dimensions: Width: 19.50cm , Height: 4.30cm , Length: 24.30cm Weight: 1.590kg ISBN: 9781558606791ISBN 10: 1558606793 Pages: 766 Publication Date: 06 November 2000 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Unknown Availability: Awaiting stock ![]() Table of ContentsCode Listings Preface 1 Introduction 2 Function Evaluation 3 Interpolation 4 Iterative Algorithms 5 Finding the Zero of a Function 6 Integration of Functions 7 Series 8 Linear Algebra 9 Elements of Statistics 10 Statistical Analysis 11 Optimization 12 Data Mining App. A Decimal Floating-Point Simulation App. B Smalltalk Primer for Java Programmers App. C Java Primer for Smalltalk Programmers App. D Additional Probability Distributions App. E Accurate Accumulation of Expectation Values App. F Accompanying CD-ROM References IndexReviewsThere are few books that show how to build programs of any kind. One common theme is compiler building, and there are shelves full of them. There are few others. It's an area, or a void, that needs filling. this book does a great job of showing how to build numerical analysis programs. - David N. Smith, IBM T J Watson Research Center Author InformationDidier Besset obtained a degree in physics at the Swiss Federal Institute of Technology Zurich (ETH Zurich) and a Ph.D. in high-energy physics at the University of Geneva. He did postgraduate research at the Stanford Linear Accelerator Center and was Adjunct Professor at Princeton University where he taught physics. Since 1990 he has worked as an independent consultant on decision-support systems based on medical or technical data, all written using object-oriented technology. He has been programming in Smalltalk since 1987 and in Java since 1997. Tab Content 6Author Website:Countries AvailableAll regions |