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Scientific Computation by Ralf Scholl and Gaston H. Gonnet (2009, Hardcover)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-100521849896
ISBN-139780521849890
eBay Product ID (ePID)72493662
Product Key Features
Number of Pages250 Pages
Publication NameScientific Computation
LanguageEnglish
Publication Year2009
SubjectProgramming / General, General, Physics / Mathematical & Computational, Discrete Mathematics
TypeTextbook
AuthorRalf Scholl, Gaston H. Gonnet
Subject AreaMathematics, Computers, Science
FormatHardcover
Dimensions
Item Height0.6 in
Item Weight25.2 Oz
Item Length9.9 in
Item Width7.6 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2009-011758
Reviews"This book contains clear descriptions of important mathematical techniques. It is organized around some practical problems that might spur students' interest in deepening their understanding of those techniques." Fernando Berzal, Computing Reviews, "I recommend this text for instructors who are interested in problem-based or other interactive learning styles." D.E. Stevenson, Physics Today, '... 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, "I do agree that this book will "help students understand methods in some of their appropriate contexts," in a relatively easy, fresh, and concise way." E. Vavalis, reviews.com, '… 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, '… 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, "This book fills an important gap in terms of both problems and methods, and thus could well be an important component of a range of materials for teaching scientific computing." Martin Berzins for IEEE Computing in Science & Engineering, '... 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
Dewey Edition22
IllustratedYes
Dewey Decimal501.51
Table Of ContentPreface; 1. Determination of the accurate location of an aircraft; 2. When to replace equipment; 3. SSP using LS and SVD; 4. SSP using least squares and best basis; 5. SSP learning methods (nearest neighbours); 6. SSP with linear programming (LP); 7. Stock market prediction; 8. Phylogenetic tree construction; Appendixes; Index.
SynopsisUsing real-life applications, this graduate-level textbook introduces different mathematical methods of scientific computation to solve minimization problems. Each chapter solves several realistic problems, allowing readers to see how the methods are put to use, making it easier to grasp the basic ideas. Interactive exercises are available at www.cambridge.org/9780521849890., 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 modeling 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., 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.
LC Classification NumberQA76.9.M35G64 2009
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