Topics in industrial mathematics
case studies and related mathematical methods
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Contributions
- Siddiqi, A. H. - Contributor
Publication
2000 - Kluwer Academic Publishers, Dordrecht
Language
English
Word Count
93,250 words, Guess
Page Count
373 pages
Identifiers
- Open LibraryOL20001402M
- ISBN-100792364171
- OCLC Control Number44045584
- Library of Congress Control Number00033081
- Goodreads4684424
Classifications
- DDC620/.001/51
- LCCTA331 .N48 2000
Description
This book is devoted to some analytical and numerical methods for analyzing industrial problems related to emerging technologies such as digital image processing, material sciences and financial derivatives affecting banking and financial institutions. Case studies are based on industrial projects given by reputable industrial organizations of Europe to the Institute of Industrial and Business Mathematics, Kaiserslautern, Germany. Mathematical methods presented in the book which are most reliable for understanding current industrial problems include Iterative Optimization Algorithms, Galerkin's Method, Finite Element Method, Boundary Element Method, Quasi-Monte Carlo Method, Wavelet Analysis, and Fractal Analysis. The Black-Scholes model of Option Pricing, which was awarded the 1997 Nobel Prize in Economics, is presented in the book. In addition, basic concepts related to modeling are incorporated in the book. Audience: The book is appropriate for a course in Industrial Mathematics for upper-level undergraduate or beginning graduate-level students of mathematics or any branch of engineering.
Subjects
Topics
Genres
- Case studies.
Series Statement
- Applied optimization -- v. 42
Other Editions
- Topics in industrial mathematics: case studies and related mathematical methods
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