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Introduction to Optimum Design

ISBN-10: 0123813751
ISBN-13: 9780123813756
Edition: 3rd 2011
Authors: Jasbir Arora
List price: $129.95
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Description: Introduction to Optimum Design is the most widely used textbook in engineering optimization and optimum design courses.#xA0;It is#xA0;intended for use in a first course on engineering design and optimization at the undergraduate or graduate level  More...

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Book details

List price: $129.95
Edition: 3rd
Copyright year: 2011
Publisher: Elsevier Science & Technology Books
Publication date: 8/17/2011
Binding: Hardcover
Pages: 896
Size: 6.00" wide x 9.00" long x 1.50" tall
Weight: 3.784
Language: English

Introduction to Optimum Design is the most widely used textbook in engineering optimization and optimum design courses.#xA0;It is#xA0;intended for use in a first course on engineering design and optimization at the undergraduate or graduate level within engineering departments of all disciplines, but primarily within mechanical, aerospace and civil engineering. The basic approach of the text is to describe an organized approach to engineering design optimization in a rigorous yet simplified manner, illustrate various concepts and procedures with simple examples, and demonstrate 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 throughout as learning and teaching aids. The 3rd edition has been reorganized and enhanced with new material, making the book even more appealing to instructors regardless of the level they teach the course. Examples include moving the introductory chapter on Excel and MATLAB closer to the front of the book and adding an early chapter on practical design examples for the more introductory course, and including a final chapter on advanced topics for the purely graduate level course. FEATURE: Basic concepts of optimality conditions and numerical methods are described with simple and practical examples Benefit: Providing numerous examples helps stimulate students' interest in and ability to learn the material. FEATURE: Formulation of a problem as an optimization problem is emphasized throughout the text. Benefit: The ability to optimally solve an engineering problem for a desired goal depends in large part on how clearly the problem is formulated. If the formulation of the problem is correct, the solution will be useful. FEATURE: Methods for linear and nonlinear programming are presented and illustrated. Benefit: As both linear and nonlinear problems are encountered in actual engineering practice, students are exposed to some of the methods they can expect to use in their professional lives. FEATURE: Applications of the methods for structural, mechanical, aerospace, industrial and biomedical engineering problems are presented. Benefit: Students are introduced to real-world applications where optimization methods are used in a variety of engineering disciplines. FEATURE: Excel is used throughout to solve and interpret solutions of optimization problems. Benefit: Excel is inexpensive and widely available, and is easy to use for solving optimization problems.

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
Appendices

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