Introduction to Optimum Design - Hardcover

Arora, Jasbir

Hardcover

ISBN 10: 0123813751 ISBN 13: 9780123813756

Publisher: Academic Press, 2011

Synopsis

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

About this title

Review:

Engineering students and practitioners studying optimization and mechanical engineering design.

From the Back Cover:

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

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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

About this edition

• Publisher: Academic Press
• Publication date: 2011
• ISBN 10: 0123813751
• ISBN 13: 9780123813756
• Binding: Hardcover
• Edition number: 3
• Number of pages: 872