Items related to Introduction to Optimum Design
Introduction to Optimum Design, Third Edition describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It 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. Excel and MATLAB® are featured as learning and teaching aids.
- Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable
- Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems
- Introduction to MATLAB Optimization Toolbox
- Practical design examples introduce students to the use of optimization methods early in the book
- New example problems throughout the text are enhanced with detailed illustrations
- Optimum design with Excel Solver has been expanded into a full chapter
- New chapter on several advanced optimum design topics serves the needs of instructors who teach more advanced courses
"synopsis" may belong to another edition of this title.
From the Back Cover:
About the Author:
Introduction to Optimum Design 3e, the most widely used textbook in its field, is intended for use in a first course on engineering design and optimization. Classroom tested for many years, the basic approach of the text is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner. It 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. Excel and MATLAB® are featured as learning and teaching aids.
New key features
- Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable.
- Applications of the methods for structural, mechanical, aerospace, and industrial engineering problems
- Introduction to MATLAB Optimization Toolbox
- Optimum design with Excel Solver has been expanded into a full chapter
- Practical design examples introduce students to the use of optimization methods early in the book
- New material on several advanced optimum design topics serves the needs of instructors who teach more advanced courses
Contents
Introduction to Design Optimization; Optimum Design Problem Formulation; Graphical Optimization and Basic Concepts; Optimum Design Concepts: Optimality Conditions; More on Optimum Design Concepts: Optimality Conditions; Optimum Design with Excel Solver; Optimum Design with MATLAB®; Linear Programming Methods for Optimum Design; More on Linear Programming Methods for Optimum Design; Numerical Methods for Unconstrained Optimum Design; More on Numerical Methods for Unconstrained Optimum Design; Numerical Methods for Constrained Optimum Design; More on Numerical Methods for Constrained Optimum Design; Practical Applications of Optimization; Discrete Variable Optimum Design Concepts and Methods; Genetic Algorithms for Optimum Design; Multi-objective Optimum Design Concepts and Methods; Global Optimization Concepts and Methods; Nature-Inspired Search Methods; Additional Topics on Optimum Design; Appendix A: Vector and Matrix Algebra; Appendix B: Sample Computer Programs
|Introduction to Optimum Design 3e, the most widely used textbook in its field, is intended for use in a first course on engineering design and optimization. Classroom tested for many years, the basic approach of the text is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner. It 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. Excel and MATLAB® are featured as learning and teaching aids.
New key features
- Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable.
- Applications of the methods for structural, mechanical, aerospace, and industrial engineering problems
- Introduction to MATLAB Optimization Toolbox
- Optimum design with Excel Solver has been expanded into a full chapter
- Practical design examples introduce students to the use of optimization methods early in the book
- New material on several advanced optimum design topics serves the needs of instructors who teach more advanced courses
Contents
Introduction to Design Optimization; Optimum Design Problem Formulation; Graphical Optimization and Basic Concepts; Optimum Design Concepts: Optimality Conditions; More on Optimum Design Concepts: Optimality Conditions; Optimum Design with Excel Solver; Optimum Design with MATLAB®; Linear Programming Methods for Optimum Design; More on Linear Programming Methods for Optimum Design; Numerical Methods for Unconstrained Optimum Design; More on Numerical Methods for Unconstrained Optimum Design; Numerical Methods for Constrained Optimum Design; More on Numerical Methods for Constrained Optimum Design; Practical Applications of Optimization; Discrete Variable Optimum Design Concepts and Methods; Genetic Algorithms for Optimum Design; Multi-objective Optimum Design Concepts and Methods; Global Optimization Concepts and Methods; Nature-Inspired Search Methods; Additional Topics on Optimum Design; Appendix A: Vector and Matrix Algebra; Appendix B: Sample Computer Programs
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.
"About this title" may belong to another edition of this title.
- PublisherAcademic Press
- Publication date2017
- ISBN 10 0128102837
- ISBN 13 9780128102831
- BindingPaperback
- Edition number3
- Number of pages896
- Rating
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