This interdisciplinary book provides a compendium of projects, together with a large number of example programs for readers to study and explore. The book is designed for advanced undergraduate or graduate students of science, mathematics and engineering who will deal with scientific computation in their future studies and research. It also contains new and useful reference materials for researchers. The problem sets range from the tutorial to exploratory and, at times, to "the impossible." These projects were collected from research results and computational dilemmas during the author's tenure as Chief Scientist at NeXT Computer, Inc. and from his scientific computation lectures in the Department of Physics at Reed College. The content assumes familiarity with such college topics as calculus, differential equations, and at least elementary programming. Each project focuses on computation, theory, graphics, or some combination of these, and is designed with an estimated level of difficulty. The support code for each project takes the form of either C or Mathematica, and is printing in the Appendix. The algorithms are clearly laid out within the text projects, so the book can be used with other symbolic numerical and algebraic manipulation products.
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From the Publisher
This interdisciplinary book provides a compendium of projects, together with a large number of example programs for readers to study and explore. The book is designed for advanced undergraduate or graduate students of science, mathematics and engineering who will deal with scientific computation in their future studies and research. It also contains new and useful reference materials for researchers. These projects were collected from research results and computational dilemmas during the author's tenure as Chief Scientist at NeXT Computer, Inc. and from his scientific computation lectures in the Department of Physics at Reed College. The content assumes familiarity with such college topics as calculus, differential equations, and at no known direct competitors, but a paperbound book published by SIAM in 1990, "Scientific Computation on Mathematical Problems and Conjectures," CBMS 60, by Richard Varga from Kent State University, contains intellectual seed for Cran! dall's exposition; it is not a textbook, however.
--This text refers to the
Paperback
edition.
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First Sentence:
By analogy with Trefethen's notion we begin on the idea that numerical analysis is the study of algorithms also for the problems of science. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fractal sound, cubic integral, good digits, wavelet conditions, wavelet transform matrix, split expansion, dragon curve, discrepancy integration, composite remains, private comm, phantom signal, dilation equation, quadratic map, wavelet system, register int, support code, simple continued fraction, tent map, attractor points, mother function, fast wavelet transform, factoring method, difficulty level, int argc, continuous wavelet transform Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Riemann Zeta, Last Theorem, Project Fast New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
By analogy with Trefethen's notion we begin on the idea that numerical analysis is the study of algorithms also for the problems of science. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fractal sound, cubic integral, good digits, wavelet conditions, wavelet transform matrix, split expansion, dragon curve, discrepancy integration, composite remains, private comm, phantom signal, dilation equation, quadratic map, wavelet system, register int, support code, simple continued fraction, tent map, attractor points, mother function, fast wavelet transform, factoring method, difficulty level, int argc, continuous wavelet transform Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Riemann Zeta, Last Theorem, Project Fast New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 52
books:
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10
books
cite this book:
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- Mathematica for the Sciences by Richard E. Crandall in Back Matter
- Adaptive Pattern Recognition and Neural Networks by Yoh-Han Pao in Back Matter
- Data Structures by Brian Bailey in Back Matter
- Course in Number Theory and Cryptography Hb (Graduate Texts in Mathematics,) by N I Koblitz in Back Matter
- Prime Numbers and Computer Methods for Factorization (Progress in Mathematics) by Hans Riesel in Back Matter
See all 52 books this book cites
- The Magic of Mathematics: Discovering the Spell of Mathematics by Theoni Pappas on page 202, and Back Matter
- Searching Multimedia Databases by Content (Advances in Database Systems) by Christos Faloutsos in Back Matter
- A Physicist's Guide to Mathematica by Patrick T. Tam in Back Matter
- An Introduction to Programming with Mathematica® by Paul R. Wellin in Back Matter
- Cognitive Radio Architecture: The Engineering Foundations of Radio XML by Joseph Mitola III in Back Matter
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