Optimization concepts and applications in engineering
By: Ashok D. Belegundu, Tirupathi R. Chandrupatla
Contributors: Chandrupatla, Tirupathi R., 1944-
Edition: 2nd ed.
Publisher: Cambridge University Press
Published: 2011
Place of publication: New York
Language: eng
Number of pages: 463
ISBN-13: 9780521878463
Subjects: TECHNOLOGY & ENGINEERING / General; Engineering; Engineering models; Mathematical models; Mathematical optimization; Engineering design; Mathematics
Description: "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"--
Notes: Includes bibliographical references and index.
Table of contents: title: Machine generated contents note: 1. Preliminary concepts; 2. One dimensional unconstrained minimization; 3. Unconstrained optimization; 4. Linear programming; 5. Constrained minimization; 6. Penalty functions, duality, and geometric programming; 7. Direct search methods for nonlinear optimization; 8. Multiobjective optimization; 9. Integer and discrete programming; 10. Dynamic programming; 11. Optimization applications for transportation, assignment, and network problems; 12. Finite element based optimization.