Introduction to Optimum Design, Fourth Edition, carries on the tradition of the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level in engineering departments of all disciplines, with a primary focus on mechanical, aerospace, and civil engineering courses. Through a basic and organized approach, the text describes engineering design optimization in a rigorous, yet simplified manner, illustrates various concepts and procedures with simple…mehr
Introduction to Optimum Design, Fourth Edition, carries on the tradition of the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in a first course on engineering design and optimization at the undergraduate or graduate level in engineering departments of all disciplines, with a primary focus on mechanical, aerospace, and civil engineering courses.
Through a basic and organized approach, the text describes engineering design optimization in a rigorous, yet simplified manner, illustrates various concepts and procedures with simple examples, and demonstrates their applicability to engineering design problems.
Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text using Excel and MATLAB as learning and teaching aids. This fourth edition has been reorganized, rewritten in parts, and enhanced with new material, making the book even more appealing to instructors regardless of course level.
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Autorenporträt
Dr. Arora is the F. Wendell Miller Distinguished Professor, Emeritus, of Civil, Environmental and Mechanical Engineering at the University of Iowa. He was also Director of the Optimal Design Laboratory and Associate Director of the Center for Computer Aided Design. He is an internationally recognized expert in the fields of optimization, numerical analysis, and real-time implementation. His research interests include optimization-based digital human modeling, dynamic response optimization, optimal control of systems, design sensitivity analysis and optimization of nonlinear systems, and parallel optimization algorithms. Dr. Arora has authored two books, co-authored or edited five others, written 160 journal articles, 27 book chapters, 130 conference papers, and more than 300 technical reports.
Inhaltsangabe
1. Introduction to Design Optimization2. Optimum Design Problem Formulation3. Graphical Optimization and Basic Concepts4. Optimum Design Concepts: Optimality Conditions5. More on Optimum Design Concepts: Optimality Conditions6. Optimum Design with Excel Solver7. Optimum Design with MATLAB8. Linear Programming Methods for Optimum Design9. More on Linear Programming Methods for Optimum Design10. Numerical Methods for Unconstrained Optimum Design11. More on Numerical Methods for Unconstrained Optimum Design12. Numerical Methods for Constrained Optimum Design13. More on Numerical Methods for Constrained Optimum Design14. Practical Applications of Optimization15. Discrete Variable Optimum Design Concepts and Methods16. Genetic Algorithms for Optimum Design17. Multi-Objective Optimum Design Concepts and Methods18. Global Optimization Concepts and Methods19. Nature-Inspired Search Methods20. Additional Topics on Optimum Design
1. Introduction to Design Optimization2. Optimum Design Problem Formulation3. Graphical Optimization and Basic Concepts4. Optimum Design Concepts: Optimality Conditions5. More on Optimum Design Concepts: Optimality Conditions6. Optimum Design with Excel Solver7. Optimum Design with MATLAB8. Linear Programming Methods for Optimum Design9. More on Linear Programming Methods for Optimum Design10. Numerical Methods for Unconstrained Optimum Design11. More on Numerical Methods for Unconstrained Optimum Design12. Numerical Methods for Constrained Optimum Design13. More on Numerical Methods for Constrained Optimum Design14. Practical Applications of Optimization15. Discrete Variable Optimum Design Concepts and Methods16. Genetic Algorithms for Optimum Design17. Multi-Objective Optimum Design Concepts and Methods18. Global Optimization Concepts and Methods19. Nature-Inspired Search Methods20. Additional Topics on Optimum Design
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