Scientific Computation

Gaston H. Gonnet (Eidgenössische Technische Hochschule Zürich), Ralf Scholl

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English

Cambridge University Press
05 November 2009

IT & Communications law; Physics; Online shopping & auctions; PCs (IBM-compatible personal computers)

Using real-life applications, this graduate-level textbook introduces different mathematical methods of scientific computation to solve minimization problems using examples ranging from locating an aircraft, finding the best time to replace a computer, analyzing developments on the stock market, and constructing phylogenetic trees. The textbook focuses on several methods, including nonlinear least squares with confidence analysis, singular value decomposition, best basis, dynamic programming, linear programming, and various optimization procedures. Each chapter solves several realistic problems, introducing the modelling optimization techniques and simulation as required. This allows readers to see how the methods are put to use, making it easier to grasp the basic ideas. There are also worked examples, practical notes, and background materials to help the reader understand the topics covered. Interactive exercises are available at www.cambridge.org/9780521849890.

By: Gaston H. Gonnet (Eidgenössische Technische Hochschule Zürich), Ralf Scholl
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 252mm, Width: 194mm, Spine: 14mm
Weight: 710g
ISBN: 9780521849890
ISBN 10: 0521849896
Pages: 250
Publication Date: 05 November 2009
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Gaston H. Gonnet is a Professor in the Department of Informatik at ETH, Zurich. His research interests lie in symbolic and algebraic computation, system development, limit and series computation and heuristic algorithms, computational biochemistry algorithms, and the design and analysis of algorithms. Ralf Scholl teaches mathematics, physics, and science and technology at the Geschwister-Scholl-Gymnasium in Stuttgart. His interests lie in the didactics of teaching science and mathematics at high school to graduate level.

Reviews for Scientific Computation

'... this book will help students understand methods in some of their appropriate contexts, in a relatively easy, fresh, and concise way.' E. Vavalis, Computing Reviews '... the text makes an important contribution: it describes the thought process necessary to solve a problem computationally, considers the various possible models, and shows which ones lead to the most precise solutions. I recommend this text for instructors who are interested in problem-based or other interactive learning styles.' Physics Today