Scientific computation
Material type: TextPublication details: Cambridge, UK ; New York Cambridge University Press 2009Description: xii, 236 pages : illustrations ; 26 cmISBN:- 9780521849890
- 572.80285 GON-S
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Book | Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 572.80285 GON-S (Browse shelf(Opens below)) | Available | DCB2549 | ||
Book | Dept. of Futures Studies Processing Center | Dept. of Futures Studies | 501 GON;1 (Browse shelf(Opens below)) | Available | DFS3944 | ||
Book | Dept. of Futures Studies Processing Center | Dept. of Futures Studies | 501 GON (Browse shelf(Opens below)) | Available | DFS3912 |
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572.80285 DAR-B Bioinformatics | 572.80285 DWY-G Genomic Perl : From Bioinformatics Basics to Working Code | 572.80285 GAU-B Bioinformatics Database and Algorithms | 572.80285 GON-S Scientific computation | 572.80285 HAU-I Introduction to computational biology: an evolutionary approach | 572.80285 HIG-B Bioinformatics and Molecular Evolution | 572.80285 HOD-B BIOS Instant Notes in Bioinformatics |
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.
\\\\\\\\\\\\\\\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.
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