Optimization Concepts and Applications in Engineering
“Optimization Concepts and Applications in Engineering” by Ashok D. Belegundu is a comprehensive textbook published by Cambridge University Press on June 6, 2019. This third edition spans 449 pages and is presented in English, focusing on the integration of theory, modeling, and numerical methods in the field of optimization. The book addresses the necessity for optimum solutions in engineering and business contexts, emphasizing the importance of translating theoretical concepts into practical applications through computer algorithms.
Readers will find a thorough exploration of various optimization problems, including unconstrained and constrained techniques, duality concepts, and multi-objective optimization. The text also delves into linear, integer, geometric, and dynamic programming, along with finite element-based optimization. This edition is designed for advanced undergraduate or graduate courses in optimization design and serves as a valuable resource for practicing engineers seeking to apply optimization principles to real-world challenges.
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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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