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Optimization concepts and applications in engineering [3rd ed.] [Access till September 2023]

By: Belegundu, A. D.
Contributor(s): Chandrupatla, Tirupathi R.
Publisher: United Kingdom Cambridge university press 2006Edition: 3rd ed.ISBN: 9781108347976.Subject(s): Linear programmingDDC classification: 519.602462 | B411o3 Online resources: Click here to access online Summary: Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate courses in optimization design and for practicing engineers.
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Item type Current location Collection Call number Status Notes Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Electronic Resources 519.602462 B411o3 (Browse shelf) Available Expired EBK10596_23
E books E books PK Kelkar Library, IIT Kanpur
Electronic Resources 519.602462 B411o3 (Browse shelf) Available EBK10596_22
E books E books PK Kelkar Library, IIT Kanpur
Electronic Resources 519.602462 B411o3 (Browse shelf) Available EBK10596
Total holds: 0

Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate courses in optimization design and for practicing engineers.

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