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Scientific computation / Gaston H. Gonnet, Ralf Scholl.

By: Contributor(s): Material type: TextTextPublication details: Cambridge, UK ; New York : Cambridge University Press, 2009.Description: 1 online resource (xii, 236 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511656293
  • 0511656297
  • 9780511658150
  • 051165815X
  • 9780511815027
  • 0511815026
  • 9780511656842
  • 051165684X
Subject(s): Additional physical formats: Print version:: Scientific computation.DDC classification:
  • 501/.51 22
LOC classification:
  • QA76.9.M35 G64 2009
Other classification:
  • ST 630
Online resources:
Contents:
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.
Summary: "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."--Publisher's web site
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Science Available
Total holds: 0

"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."--Publisher's web site

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.

Includes bibliographical references and index.

Added to collection customer.56279.3

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