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Optimization is a mathematical tool developed in the early 1960's used to find the most efficient and feasible solutions to an engineering problem. It can be used to find ideal shapes and physical configurations, ideal structural designs, maximum energy efficiency, and many other desired goals of engineering. This book is intended for use in a first course on engineering design and optimization. Material for the text has evolved over a period of several years and is based on classroom presentations for an undergraduate core course on the principles of design. Virtually any problem f
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Engineering design --- Mathematical models. --- 62.001.13 --- -Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Ingenieurswetenschappen. Technologie in het algemeen--?.001.13 --- Mathematical models --- Design --- -Ingenieurswetenschappen. Technologie in het algemeen--?.001.13 --- Engineering design - Mathematical models.
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This 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.
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This textbook is widely used in engineering optimization and optimum design courses. The basic approach is to describe an organized approach to engineering design optimization, illustrate various concepts and procedures with simple examples, and demonstrate their applicability to engineering design problems.
Engineering design --- Industrial design --- Mathematical models. --- Design, Industrial --- Mechanical drawing --- New products --- Design
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This 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.
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Introduction to Optimum Design is intended for use in a first course on engineering design and optimization. Virtually any problem for which specific parameters need to be determined to satisfy constraints can be formulated as a design optimization problem. The concepts and methods described in the text are quite general and applicable to all such formulations. Inasmuch, the range of application of the optimum design methodology is almost limitless, constrained only by the imagination and ingenuity of the user. Throughout the text, simple design problems involving two to three design variables and three to four constraints are solved in detail to illustrate fundamental concepts and basic ideas. The necessary results from optimization theory are stated and their implications are studied through application to engineering design problems. Theory and concepts of optimum design are explained only through examples and simple engineering applications. Several of the numerical procedures and concepts described in the text are useful in many other engineering courses and applications. * Allows engineers involved in the design process to adapt optimum design concepts in their work using the material in the text. * Basic concepts of optimality conditions and numerical methods are described with simple examples, making the material high teachable and learnable. * Classroom-tested for many years to attain optimum pedagogical effectiveness.
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Introduction to Optimum Design is 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 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. 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 usage of optimization methods early in the book. New material on several advanced optimum design topics serves the needs of instructors teaching more advanced courses.
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Computational optimization methods have been applied to many applications. Written by researchers in the field of optimization, this book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. It also presents the formulations of the problems and their numerical solutions.
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62-1 --- Machine design --- -Structural design --- -Engineering design --- Architectural design --- Strains and stresses --- Machinery --- Engineering design --- General characteristics of machines etc. --- Mathematical models --- Design --- Design and construction --- Structural design --- Mathematical models. --- -General characteristics of machines etc. --- 62-1 General characteristics of machines etc. --- -62-1 General characteristics of machines etc. --- General characteristics of machines etc --- Linear programming. --- Nonlinear programming. --- Mathematical programming
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