Buch lesen Optimization for Engineering Design: Algorithms and Examples, 2nd ed (English Edition)

Beschreibung Optimization for Engineering Design: Algorithms and Examples, 2nd ed (English Edition)

This well-received book, now in its second edition, continues to provide a number of optimization algorithms which are commonly used in computer-aided engineering design. The book begins with simple single-variable optimization techniques, and then goes on to give unconstrained and constrained optimization techniques in a step-by-step format so that they can be coded in any user-specific computer language. In addition to classical optimization methods, the book also discusses Genetic Algorithms and Simulated Annealing, which are widely used in engineering design problems because of their ability to find global optimum solutions.The second edition adds several new topics of optimization such as design and manufacturing, data fitting and regression, inverse problems, scheduling and routing, data mining, intelligent system design, Lagrangian duality theory, and quadratic programming and its extension to sequential quadratic programming. It also extensively revises the linear programming algorithms section in the Appendix. This edition also includes more number of exercise problems.The book is suitable for senior undergraduate/postgraduate students of mechanical, production and chemical engineering. Students in other branches of engineering offering optimization courses as well as designers and decision-makers will also find the book useful.KEY FEATURES• Algorithms are presented in a step-by-step format to facilitate coding in a computer language.• Sample computer programs in FORTRAN are appended for better comprehension.• Worked-out examples are illustrated for easy understanding.• The same example problems are solved with most algorithms for a comparative evaluation of the algorithms

Optimization for Engineering Design: Algorithms and Examples, 2nd ed (English Edition) PDF ePub

Optimization Methods - Mechanical Engineering at IIT Madras ~ 2 1.0. Introduction: In optimization of a design, the design objective could be simply to minimize the cost of production or to maximize the efficiency of production. An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till an optimum or a satisfactory solution is found.

Algorithms for Optimization / The MIT Press ~ A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints.

Engineering Optimization / Wiley Online Books ~ Engineering optimization helps engineers zero in on the most effective, efficient solutions to problems. This text provides a practical, real-world understanding of engineering optimization. Rather than belaboring underlying proofs and mathematical derivations, it emphasizes optimization methodology, focusing on techniques and stratagems relevant to engineering applications in design .

Introduction to Optimum Design / ScienceDirect ~ 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 .

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DESIGN AND ANALYSIS OF ALGORITHMS - Duke University ~ Algorithm Design. Pearson Ed-ucation, 2006. Examinations. There will be a final exam (covering the material of the entire semester) and a midterm (at the be- ginning of October), You may want to freshen up your math skills before going into this course. The weighting of exams and homework used to determine your grades is homework 35%, midterm 25%, final 40%. Homework. We have seven homeworks .

Topology Optimization - Theory, Methods, and Applications ~ The topology optimization method solves the basic engineering problem of distributing a limited amount of material in a design space. The first edition of this book has become the standard text on optimal design which is concerned with the optimization of structural topology, shape and material. This edition has been substantially revised and updated to reflect progress made in modelling and .

Chemical Engineering Design / ScienceDirect ~ Chemical Engineering Design, Second Edition, deals with the application of chemical engineering principles to the design of chemical processes and equipment. Revised throughout, this edition has been specifically developed for the U.S. market. It provides the latest US codes and standards, including API, ASME and ISA design codes and ANSI standards.

Design and Analysis of Algorithms Tutorial - Tutorialspoint ~ Design and Analysis of Algorithm is very important for designing algorithm to solve different types of problems in the branch of computer science and information technology. This tutorial introduces the fundamental concepts of Designing Strategies, Complexity analysis of Algorithms, followed by problems on Graph Theory and Sorting methods. This tutorial also includes the basic concepts on .

Free computer algorithm Books Download / Ebooks Online ~ Design and Analysis of Computer Algorithms (PDF 135P) This lecture note discusses the approaches to designing optimization algorithms, including dynamic programming and greedy algorithms, graph algorithms, minimum spanning trees, shortest paths, and network flows. Also it briefly discusses algorithmic problems arising from geometric settings .

Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne ~ The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne [ · Pearson · InformIT] surveys the most important algorithms and data structures in use today. We motivate each algorithm that we address by examining its impact on applications to science, engineering, and industry. The textbook is organized into six chapters: Chapter 1: Fundamentals introduces a scientific and .

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Java Algorithms and Clients - Algorithms, 4th Edition by ~ Design goals. Our original goal for this book was to cover the 50 algorithms that every programmer should know . We use the word programmer to refer to anyone engaged in trying to accomplish something with the help of a computer, including scientists, engineers, and applications developers, not to mention college students in science, engineering, and computer science.

Algorithms (4th Edition): Sedgewick, Robert, Wayne, Kevin ~ This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing--including fifty .

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Convex Optimization - Stanford University ~ The second development is the discovery that convex optimization problems (beyond least-squares and linear programs) are more prevalent in practice than was previously thought.

OpenCL Programming Guide (OpenGL): : Munshi ~ Aaftab Munshi is the spec editor for the OpenGL ES 1.1, OpenGL ES 2.0, and OpenCL specifications and coauthor of the book OpenGL ES 2.0 Programming Guide (with Dan Ginsburg and Dave Shreiner, published by Addison-Wesley, 2008).He currently works at Apple.   Benedict R. Gaster is a software architect working on programming models for next-generation heterogeneous processors, in particular .

ELEMENTARY NUMERICAL ANALYSIS ~ A large number of algorithms are presented in the text, and FORTRAN programs for many of these algorithms have been provided. There are somewhat fewer complete programs in this edition. All the programs have been rewritten in the FORTRAN 77 language which uses modern structured-programming concepts. All the programs have been tested on one or more computers, and in most cases machine results .

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Logical Foundations of Cyber-Physical Systems: ~ Cars, aircraft, and robots are prime examples, because they move physically in space in a way that is determined by discrete computerized control algorithms. Designing these algorithms is challenging due to their tight coupling with physical behavior, while it is vital that these algorithms be correct because we rely on them for safety-critical tasks.

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