Mathematical and Computational Modeling

Mathematical and Computational Modeling
Author :
Publisher : John Wiley & Sons
Total Pages : 321
Release :
ISBN-10 : 9781118853986
ISBN-13 : 1118853989
Rating : 4/5 (86 Downloads)

Book Synopsis Mathematical and Computational Modeling by : Roderick Melnik

Download or read book Mathematical and Computational Modeling written by Roderick Melnik and published by John Wiley & Sons. This book was released on 2015-05-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and Computational Modeling Illustrates the application of mathematical and computational modeling in a variety of disciplines With an emphasis on the interdisciplinary nature of mathematical and computational modeling, Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts features chapters written by well-known, international experts in these fields and presents readers with a host of state-of-theart achievements in the development of mathematical modeling and computational experiment methodology. The book is a valuable guide to the methods, ideas, and tools of applied and computational mathematics as they apply to other disciplines such as the natural and social sciences, engineering, and technology. The book also features: Rigorous mathematical procedures and applications as the driving force behind mathematical innovation and discovery Numerous examples from a wide range of disciplines to emphasize the multidisciplinary application and universality of applied mathematics and mathematical modeling Original results on both fundamental theoretical and applied developments in diverse areas of human knowledge Discussions that promote interdisciplinary interactions between mathematicians, scientists, and engineers Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts is an ideal resource for professionals in various areas of mathematical and statistical sciences, modeling and simulation, physics, computer science, engineering, biology and chemistry, and industrial and computational engineering. The book also serves as an excellent textbook for graduate courses in mathematical modeling, applied mathematics, numerical methods, operations research, and optimization.


Mathematical and Computational Modeling Related Books

Mathematical and Computational Modeling
Language: en
Pages: 321
Authors: Roderick Melnik
Categories: Mathematics
Type: BOOK - Published: 2015-05-18 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Mathematical and Computational Modeling Illustrates the application of mathematical and computational modeling in a variety of disciplines With an emphasis on t
Computational Mathematical Modeling
Language: en
Pages: 229
Authors: Daniela Calvetti
Categories: Mathematics
Type: BOOK - Published: 2013-03-21 - Publisher: SIAM

DOWNLOAD EBOOK

Interesting real-world mathematical modelling problems are complex and can usually be studied at different scales. The scale at which the investigation is carri
Mathematical and Computational Modeling and Simulation
Language: en
Pages: 444
Authors: Dietmar Möller
Categories: Computers
Type: BOOK - Published: 2004 - Publisher: Springer

DOWNLOAD EBOOK

Mathematical and Computational Modeling and Simulation - a highly multi-disciplinary field with ubiquitous applications in science and engineering - is one of t
Computational and Mathematical Modeling in the Social Sciences
Language: en
Pages: 232
Authors: Scott de Marchi
Categories: Business & Economics
Type: BOOK - Published: 2005-08-15 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Offers an overview of mathematical modeling concentrating on game theory, statistics and computational modeling.
Introduction to Elementary Computational Modeling
Language: en
Pages: 331
Authors: Jose Garrido
Categories: Mathematics
Type: BOOK - Published: 2011-10-26 - Publisher: CRC Press

DOWNLOAD EBOOK

With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and c