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Introduction to Optimum Design

Introduction to Optimum Design
Author: Jasbir Singh Arora
Publisher: Academic Press
Total Pages: 897
Release: 2011-08-12
Genre: Technology & Engineering
ISBN: 012381376X

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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


Introduction to Optimum Design

Introduction to Optimum Design
Author: Jasbir Singh Arora
Publisher: Elsevier
Total Pages: 751
Release: 2004-06-02
Genre: Technology & Engineering
ISBN: 0080470254

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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 for which certain 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. The book describes the basic concepts and techniques with only a few simple applications. Once they are clearly understood, they can be applied to many other advanced applications that are discussed in the text. 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


Optimal Design

Optimal Design
Author: S. Silvey
Publisher: Springer Science & Business Media
Total Pages: 94
Release: 2013-03-09
Genre: Science
ISBN: 9400959125

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Prior to the 1970's a substantial literature had accumulated on the theory of optimal design, particularly of optimal linear regression design. To a certain extent the study of the subject had been piecemeal, different criteria of optimality having been studied separately. Also to a certain extent the topic was regarded as being largely of theoretical interest and as having little value for the practising statistician. However during this decade two significant developments occurred. It was observed that the various different optimality criteria had several mathematical properties in common; and general algorithms for constructing optimal design measures were developed. From the first of these there emerged a general theory of remarkable simplicity and the second at least raised the possibility that the theory would have more practical value. With respect to the second point there does remain a limiting factor as far as designs that are optimal for parameter estimation are concerned, and this is that the theory assumes that the model be collected is known a priori. This of course underlying data to is seldom the case in practice and it often happens that designs which are optimal for parameter estimation allow no possibility of model validation. For this reason the theory of design for parameter estimation may well have to be combined with a theory of model validation before its practical potential is fully realized. Nevertheless discussion in this monograph is limited to the theory of design optimal for parameter estimation.


Introduction to Optimum Design

Introduction to Optimum Design
Author: Jasbir Singh Arora
Publisher: Academic Press
Total Pages: 0
Release: 2024-01-01
Genre: Technology & Engineering
ISBN: 9780128183205

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Arora's 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 as learning and teaching aids. The fifth edition has been enhanced with new or expanded content in such areas as reliability-based optimization, life-cycle optimization of structures, metamodeling, shape and topology optimization, and combinatorial problems.


Collecting Spatial Data

Collecting Spatial Data
Author: Werner G. Müller
Publisher: Springer Science & Business Media
Total Pages: 250
Release: 2007-08-17
Genre: Business & Economics
ISBN: 3540311750

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The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations.


Crime Reconstruction

Crime Reconstruction
Author: W. Jerry Chisum
Publisher: Academic Press
Total Pages: 704
Release: 2011-08-09
Genre: Social Science
ISBN: 0123864615

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Crime Reconstruction, Second Edition is an updated guide to the interpretation of physical evidence, written for the advanced student of forensic science, the practicing forensic generalist and those with multiple forensic specialists. It is designed to assist reconstructionists with understanding their role in the justice system; the development and refinement of case theory’ and the limits of physical evidence interpretation. Chisum and Turvey begin with chapters on the history and ethics of crime reconstruction and then shift to the more applied subjects of reconstruction methodology and practice standards. The volume concludes with chapters on courtroom conduct and evidence admissibility to prepare forensic reconstructionists for what awaits them when they take the witness stand. Crime Reconstruction, Second Edition, remains an unparalleled watershed collaborative effort by internationally known, qualified, and respected forensic science practitioner holding generations of case experience among them. Forensic pioneer such as W. Jerry Chisum, John D. DeHaan, John I. Thorton, and Brent E. Turvey contribute chapters on crime scene investigation, arson reconstruction, trace evidence interpretation, advanced bloodstain interpretation, and ethics. Other chapters cover the subjects of shooting incident reconstruction, interpreting digital evidence, staged crime scenes, and examiner bias. Rarely have so many forensic giants collaborated, and never before have the natural limits of physical evidence been made so clear. Updates to the majority of chapters, to comply with the NAS Report New chapters on forensic science, crime scene investigation, wound pattern analysis, sexual assault reconstruction, and report writing Updated with key terms, chapter summaries, discussion questions, and a comprehensive glossary; ideal for those teaching forensic science and crime reconstruction subjects at the college level Provides clear practice standards and ethical guidelines for the practicing forensic scientist


Optimal Design of Experiments

Optimal Design of Experiments
Author: Friedrich Pukelsheim
Publisher: SIAM
Total Pages: 527
Release: 2006-04-01
Genre: Mathematics
ISBN: 0898716047

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Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. The optimal design for statistical experiments is first formulated as a concave matrix optimization problem. Using tools from convex analysis, the problem is solved generally for a wide class of optimality criteria such as D-, A-, or E-optimality. The book then offers a complementary approach that calls for the study of the symmetry properties of the design problem, exploiting such notions as matrix majorization and the Kiefer matrix ordering. The results are illustrated with optimal designs for polynomial fit models, Bayes designs, balanced incomplete block designs, exchangeable designs on the cube, rotatable designs on the sphere, and many other examples.


Control System Design

Control System Design
Author: Bernard Friedland
Publisher: Courier Corporation
Total Pages: 530
Release: 2012-03-08
Genre: Science
ISBN: 048613511X

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Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.


An Introduction to Structural Optimization

An Introduction to Structural Optimization
Author: Peter W. Christensen
Publisher: Springer Science & Business Media
Total Pages: 214
Release: 2008-10-20
Genre: Technology & Engineering
ISBN: 1402086652

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This book has grown out of lectures and courses given at Linköping University, Sweden, over a period of 15 years. It gives an introductory treatment of problems and methods of structural optimization. The three basic classes of geometrical - timization problems of mechanical structures, i. e. , size, shape and topology op- mization, are treated. The focus is on concrete numerical solution methods for d- crete and (?nite element) discretized linear elastic structures. The style is explicit and practical: mathematical proofs are provided when arguments can be kept e- mentary but are otherwise only cited, while implementation details are frequently provided. Moreover, since the text has an emphasis on geometrical design problems, where the design is represented by continuously varying—frequently very many— variables, so-called ?rst order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing ?rst order derivatives for - jectives and constraints. The classical ?rst order methods that we emphasize are CONLIN and MMA, which are based on explicit, convex and separable appro- mations. It should be remarked that the classical and frequently used so-called op- mality criteria method is also of this kind. It may also be noted in this context that zero order methods such as response surface methods, surrogate models, neural n- works, genetic algorithms, etc. , essentially apply to different types of problems than the ones treated here and should be presented elsewhere.


Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities

Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities
Author: Kayabekir, Aylin Ece
Publisher: IGI Global
Total Pages: 229
Release: 2020-03-20
Genre: Technology & Engineering
ISBN: 179982666X

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Reinforced concrete structures are one of the major structural types and must adhere to design regulation codes. It is ideal to find the best design (section dimension, material type, and amount of reinforcement) with the minimum cost providing the design constraints (design formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the analyses of formulation of reinforced concrete structures with an iterative numerical algorithm using several convergence options of random generation of candidate design solutions. Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members. Additionally, retrofit applications and seismic design issues are considered for readers in earthquake zones. Highlighting a wide range of topics including algorithms, design variables, and retrofit design, this book is ideally designed for architects, engineers, urban designers, government officials, policymakers, researchers, academicians, and students.