Optimization concepts and applications in engineering [3rd ed.]
By: Belegundu, Ashok D.
Contributor(s): Chandrupatla, Tirupathi R.
Publisher: New York Cambridge University Press 2019Edition: 3rd ed.Description: xvi, 449p.ISBN: 9781108424882.Subject(s): Engineering modelsDDC classification: 519.602462 | B411o3 Summary: "It is vitally important to meet or exceed previous quality and reliability standards while at the same time reducing resource consumption. This textbook addresses this critical imperative integrating theory, modeling, the development of numerical methods, and problem solving, thus preparing the student to apply optimization to real-world problems. This text covers a broad variety of optimization problems using the following: unconstrained, constrained, gradient, and nongradient techniques; duality concepts; multiobjective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element based optimization. In this revised and enhanced second edition of Optimization Concepts and Applications in Engineering, the already robust pedagogy has been enhanced with more detailed explanations, an increased number of solved examples and end-of-chapter problems. The source codes are now available free on multiple platforms. It is ideal for advanced undergraduate or graduate courses and for practicing engineers in all engineering disciplines, as well as in applied mathematicsItem type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | PK Kelkar Library, IIT Kanpur | General Stacks | 519.602462 B411o3 (Browse shelf) | Available | A184813 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
519.6 W637o Optimization of temporal networks under uncertainty | 519.6 Z614s Sparse optimization theory and methods | 519.602 B411o2 Optimization concepts and applications in engineering | 519.602462 B411o3 Optimization concepts and applications in engineering [3rd ed.] | 519.62 B644s Stochastic approximation | 519.62 H29P2 PRACTICAL GENETIC ALGORITHMS | 519.62 M362S STOCHASTIC OPTIMIZATION METHODS |
"It is vitally important to meet or exceed previous quality and reliability standards while at the same time reducing resource consumption. This textbook addresses this critical imperative integrating theory, modeling, the development of numerical methods, and problem solving, thus preparing the student to apply optimization to real-world problems. This text covers a broad variety of optimization problems using the following: unconstrained, constrained, gradient, and nongradient techniques; duality concepts; multiobjective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element based optimization. In this revised and enhanced second edition of Optimization Concepts and Applications in Engineering, the already robust pedagogy has been enhanced with more detailed explanations, an increased number of solved examples and end-of-chapter problems. The source codes are now available free on multiple platforms. It is ideal for advanced undergraduate or graduate courses and for practicing engineers in all engineering disciplines, as well as in applied mathematics
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