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Numerical and Analytical Methods for Scientists and Engineers Using Mathematica 1st Edition by Daniel Dubin ISBN 0471266108 9780471266105

  • SKU: BELL-2217562
Numerical and Analytical Methods for Scientists and Engineers Using Mathematica 1st Edition by Daniel Dubin ISBN 0471266108 9780471266105
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Numerical and Analytical Methods for Scientists and Engineers Using Mathematica 1st Edition by Daniel Dubin ISBN 0471266108 9780471266105 instant download after payment.

Publisher: Wiley-Interscience
File Extension: PDF
File size: 4.62 MB
Pages: 648
Author: Daniel Dubin
ISBN: 0471266108
Language: English
Year: 2003

Product desciption

Numerical and Analytical Methods for Scientists and Engineers Using Mathematica 1st Edition by Daniel Dubin ISBN 0471266108 9780471266105 by Daniel Dubin 0471266108 instant download after payment.

Numerical and Analytical Methods for Scientists and Engineers Using Mathematica 1st Edition by Daniel Dubin - Ebook PDF Instant Download/Delivery: 0471266108, 9780471266105
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ISBN 10: 0471266108 
ISBN 13: 9780471266105
Author: Daniel Dubin

This book is written from the perspective of a physicist, not a mathematician, with an emphasis on modern practical applications in the physical and engineering sciences. The book itself is essentially software, written in the language of Mathematica, the widely used and highly praised Mathematica software package., The electronic component of the book is based on the widely used and highly praised Mathematica software package. Each chapter of the bookis a Mathematica notebook with links to web-based material. The methods are applied to a range of problems taken from physics and engineering. The book covers elementary and advaned numerical methods used in modern scientific computing., Utilizing state-of-the-art software to facilitate solutions to real-world problems Practitioners in the field of physical science are continually faced with a variety of complex, real-world problems, the solution of which requires a working knowledge of both analytical and numerical techniques. An Introduction to Mathematical and Computational Physics Using Mathematica is designed to help prospective scientists develop a practical, working knowledge of these techniques using the latest, most efficient electronic methodologies. Written from the perspective of a physicist rather than a mathematician, the text focuses on modern practical applications in the physical and engineering sciences, attacking these problems with a range of numerical and analytical methods, both elementary and advanced. Incorporating the widely used and highly praised Mathematica software package, the author offers solution techniques for the partial differential equations of mathematical physics such as Poissons equation, the wave equation, and Schrdingers equation, including Fourier series and transforms, Greens functions, the method of characteristics, grids, Galerkin and simulation methods, elementary probability theory, and statistical methods. The incorporation of Mathematica offers students a wealth of practical benefits in that it Requires little or no previous computer experience Offers maximum flexibility and sophistication Delivers easy access to the important ideas behind the various numerical methods Facilitates important but often tedious analytic calculations Is easily adapted to the application of other related software packages Designed for both advanced undergraduate and graduate students in the physical and engineering sciences, as well as professionals who want to learn these methods, An Introduction to Mathematical and Computational Physics Using Mathematica is also provided electronically on an accompanying website. The electronic version contains the full text of the book, along with animations, user-modifiable source code, and links to related Web material.

Numerical and Analytical Methods for Scientists and Engineers Using Mathematica 1st Table of contents:

  1. Ordinary Differential Equations in the Physical Sciences

  2. Fourier Series and Transforms

  3. Introduction to Linear Partial Differential Equations

  4. Eigenmode Analysis

  5. Partial Differential Equations in Infinite Domains

  6. Numerical Solution of Linear Partial Differential Equations

  7. Nonlinear Partial Differential Equations

  8. Introduction to Random Processes

  9. An Introduction to Mathematica (Electronic Version Only)

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