Engineering optimization: theory and practice
Language: English Publication details: New Delhi: John Wiley & Sons, 2019. Edition: 5th edDescription: xxv, 814p.; 27cmsISBN: 9789357461238Subject(s): Classical Optimization Techniques | Linear Programming: Graphical and simplex method | Geometric and Dynamic ProgrammingDDC classification: 519.6 R36, 5| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5 (Browse shelf(Opens below)) | 1 | Available | 3824 | ||
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5:1 (Browse shelf(Opens below)) | 2 | Available | 3825 | ||
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5:2 (Browse shelf(Opens below)) | 3 | Available | 3826 | ||
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5:3 (Browse shelf(Opens below)) | 4 | Available | 3827 | ||
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5:4 (Browse shelf(Opens below)) | 5 | Available | 3828 | ||
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5:5 (Browse shelf(Opens below)) | 6 | Available | 3829 | ||
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Dr. S. R. Ranganathan Library General Stacks | 519.6 R36, 5:8 (Browse shelf(Opens below)) | 9 | Available | 3832 | ||
| Textbook | Dr. S. R. Ranganathan Library Textbook | Text Book | 519.6 R36, 5:9 (Browse shelf(Opens below)) | 10 | Not For Loan | 3833 |
This Indian adaptation of Engineering Optimization: Theory and Practice, offers new and updated material relevant to the Indian context. Two new appendices on Simulation and Network Analysis and Methods have been included. In line with the ethos of the original work, the text continues to provide a significant number of examples and problems that help illustrate the importance of the results presented in the text. More than a third of these examples and problems have been newly added or revised.
Table of Contents:
1 Introduction to Optimization
2 Classical Optimization Techniques
3 Linear Programming I: Graphical and Simplex Method
4 Linear Programming II: Additional Topics and Extensions
5 Nonlinear Programming I: One-Dimensional Minimization Methods
6 Nonlinear Programming II: Unconstrained Optimization Techniques
7 Nonlinear Programming III: Constrained Optimization Techniques
8 Geometric Programming
9 Dynamic Programming
10 Integer Programming
11 Stochastic Programming
12 Optimal Control and Optimality Criteria Methods
13 Methods of Optimization using Algorithm
14 Metaheuristic Optimization Methods
15 Practical Aspects of Optimization
16 Multilevel and Multi-objective Optimization
17 Solution of Optimization Problems Using MATLAB
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