Optimization—Theory and Practice

Author: Wilhelm Forst,Dieter Hoffmann

Publisher: Springer Science & Business Media

ISBN: 0387789774

Category: Mathematics

Page: 402

View: 2826

Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering. Constrained optimization models are one of the most widely used mathematical models in operations research and management science. This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications. Detailed examples and counter-examples are provided--as are exercises, solutions and helpful hints, and Matlab/Maple supplements.

Engineering Optimization

Theory and Practice

Author: Singiresu S. Rao,S. S. Rao

Publisher: John Wiley & Sons

ISBN: 0470183527

Category: Mathematics

Page: 813

View: 9255

Technology/Engineering/Mechanical Helps you move from theory to optimizing engineering systems in almost any industry Now in its Fourth Edition, Professor Singiresu Rao's acclaimed text Engineering Optimization enables readers to quickly master and apply all the important optimization methods in use today across a broad range of industries. Covering both the latest and classical optimization methods, the text starts off with the basics and then progressively builds to advanced principles and applications. This comprehensive text covers nonlinear, linear, geometric, dynamic, and stochastic programming techniques as well as more specialized methods such as multiobjective, genetic algorithms, simulated annealing, neural networks, particle swarm optimization, ant colony optimization, and fuzzy optimization. Each method is presented in clear, straightforward language, making even the more sophisticated techniques easy to grasp. Moreover, the author provides: Case examples that show how each method is applied to solve real-world problems across a variety of industries Review questions and problems at the end of each chapter to engage readers in applying their newfound skills and knowledge Examples that demonstrate the use of MATLAB® for the solution of different types of practical optimization problems References and bibliography at the end of each chapter for exploring topics in greater depth Answers to Review Questions available on the author's Web site to help readers to test their understanding of the basic concepts With its emphasis on problem-solving and applications, Engineering Optimization is ideal for upper-level undergraduates and graduate students in mechanical, civil, electrical, chemical, and aerospace engineering. In addition, the text helps practicing engineers in almost any industry design improved, more efficient systems at less cost.

Optimization

Theory and Practice

Author: Mohan C. Joshi,Kannan M. Moudgalya

Publisher: Alpha Science Int'l Ltd.

ISBN: 9781842651964

Category: Computers

Page: 325

View: 1636

Gives a detailed mathematical exposition to various optimization techniques. This book includes topics such as: Single and multi-dimensional optimization, Linear programming, Nonlinear constrained optimization and Evolutionary algorithms.

Linear and Integer Optimization

Theory and Practice, Third Edition

Author: Gerard Sierksma,Yori Zwols

Publisher: Chapman and Hall/CRC

ISBN: 9781498710169

Category: Business & Economics

Page: 686

View: 9354

Presenting a strong and clear relationship between theory and practice, Linear and Integer Optimization: Theory and Practice is divided into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig’s simplex algorithm, duality, sensitivity analysis, integer optimization models, and network models are introduced. More advanced topics also are presented including interior point algorithms, the branch-and-bound algorithm, cutting planes, complexity, standard combinatorial optimization models, the assignment problem, minimum cost flow, and the maximum flow/minimum cut theorem. The second part applies theory through real-world case studies. The authors discuss advanced techniques such as column generation, multiobjective optimization, dynamic optimization, machine learning (support vector machines), combinatorial optimization, approximation algorithms, and game theory. Besides the fresh new layout and completely redesigned figures, this new edition incorporates modern examples and applications of linear optimization. The book now includes computer code in the form of models in the GNU Mathematical Programming Language (GMPL). The models and corresponding data files are available for download and can be readily solved using the provided online solver. This new edition also contains appendices covering mathematical proofs, linear algebra, graph theory, convexity, and nonlinear optimization. All chapters contain extensive examples and exercises. This textbook is ideal for courses for advanced undergraduate and graduate students in various fields including mathematics, computer science, industrial engineering, operations research, and management science.

Adaptive Techniques for Dynamic Processor Optimization

Theory and Practice

Author: Alice Wang,Samuel Naffziger

Publisher: Springer Science & Business Media

ISBN: 9780387764726

Category: Technology & Engineering

Page: 304

View: 3716

This book is about various adaptive and dynamic techniques used to optimize processor power and performance. It is based on a very successful forum at ISSCC which focused on Adaptive Techniques. The book looks at the underlying process technology for adaptive designs and then examines different circuits, architecture and software that address the different aspects. The chapters are written by people both in academia and the industry to show the scope of alternative practices.

Introduction to Nonsmooth Optimization

Theory, Practice and Software

Author: Adil Bagirov,Napsu Karmitsa,Marko M. Mäkelä

Publisher: Springer

ISBN: 3319081144

Category: Business & Economics

Page: 372

View: 415

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. It is organized into three parts: 1. convex and nonconvex analysis and the theory of NSO; 2. test problems and practical applications; 3. a guide to NSO software. The book is ideal for anyone teaching or attending NSO courses. As an accessible introduction to the field, it is also well suited as an independent learning guide for practitioners already familiar with the basics of optimization.

Multi-Objective Optimization in Theory and Practice I: Classical Methods

Author: Andre A. Keller

Publisher: Bentham Science Publishers

ISBN: 1681085682

Category: Technology & Engineering

Page: 296

View: 639

Multi-Objective Optimization in Theory and Practice is a traditional two-part approach to solving multi-objective optimization (MOO) problems namely the use of classical methods and evolutionary algorithms. This first book is devoted to classical methods including the extended simplex method by Zeleny and preference-based techniques. This part covers three main topics through nine chapters. The first topic focuses on the design of such MOO problems, their complexities including nonlinearities and uncertainties, and optimality theory. The second topic introduces the founding solving methods including the extended simplex method to linear MOO problems and weighting objective methods. The third topic deals with particular structures of MOO problems, such as mixed-integer programming, hierarchical programming, fuzzy logic programming, and bimatrix games. Multi-Objective Optimization in Theory and Practice is a user-friendly book with detailed, illustrated calculations, examples, test functions, and small-size applications in Mathematica® (among other mathematical packages) and from scholarly literature. It is an essential handbook for students and teachers involved in advanced optimization courses in engineering, information science, and mathematics degree programs.

Statistical Optimization for Geometric Computation

Theory and Practice

Author: Kenichi Kanatani

Publisher: Courier Corporation

ISBN: 0486443086

Category: Mathematics

Page: 509

View: 1674

This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sensor data that contain noise--a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical prerequisites for developing the theories are explained systematically in separate chapters. These methods range from linear algebra, optimization, and geometry to a detailed statistical theory of geometric patterns, fitting estimates, and model selection. In addition, examples drawn from both synthetic and real data demonstrate the insufficiencies of conventional procedures and the improvements in accuracy that result from the use of optimal methods.

Linear and Integer Programming

Theory and Practice, Second Edition

Author: Gerard Sierksma

Publisher: CRC Press

ISBN: 9780824706739

Category: Mathematics

Page: 656

View: 5320

"Combines the theoretical and practical aspects of linear and integer programming. Provides practical case studies and techniques, including rounding-off, column-generation, game theory, multiobjective optimization, and goal programming, as well as real-world solutions to the transportation and transshipment problem, project scheduling, and decentralization."

Engineering Optimization

Theory and Practice

Author: S. S. Rao

Publisher: John Wiley & Sons

ISBN: 9780471550341

Category: Mathematics

Page: 903

View: 7843

A rigorous mathematical approach to identifying a set of design alternatives and selecting the best candidate from within that set, engineering optimization was developed as a means of helping engineers to design systems that are both more efficient and less expensive and to develop new ways of improving the performance of existing systems. Thanks to the breathtaking growth in computer technology that has occurred over the past decade, optimization techniques can now be used to find creative solutions to larger, more complex problems than ever before. As a consequence, optimization is now viewed as an indispensable tool of the trade for engineers working in many different industries, especially the aerospace, automotive, chemical, electrical, and manufacturing industries. In Engineering Optimization, Professor Singiresu S. Rao provides an application–oriented presentation of the full array of classical and newly developed optimization techniques now being used by engineers in a wide range of industries. Essential proofs and explanations of the various techniques are given in a straightforward, user–friendly manner, and each method is copiously illustrated with real–world examples that demonstrate how to maximize desired benefits while minimizing negative aspects of project design. Comprehensive, authoritative, up–to–date, Engineering Optimization provides in–depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques as well as several breakthrough methods, including genetic algorithms, simulated annealing, and neural network–based and fuzzy optimization techniques. Designed to function equally well as either a professional reference or a graduate–level text, Engineering Optimization features many solved problems taken from several engineering fields, as well as review questions, important figures, and helpful references. An indispensable working resource for practicing engineers Engineering Optimization Providing engineers with a rigorous, systematic method for rapidly zeroing in on the most innovative, cost–effective solutions to some of today′s most challenging engineering design problems, optimization is a powerful tool of the trade for engineers in virtually every discipline. Now, in his latest book, Engineering Optimization, Singiresu S. Rao provides you with the most practical, up–to–date, and comprehensive coverage of new and classical optimization techniques currently in use throughout a wide range of industries. Designed to serve as both a daily working resource and an excellent graduate–level text, Engineering Optimization gives you: ∗ In–depth coverage of linear and nonlinear programming, dynamic programming, integer programming, and stochastic programming techniques ∗ New or recently developed methods, including genetic algorithms, simulated annealing, neural network–based and fuzzy optimization techniques ∗ Dozens of real–world design optimization examples taken from a wide range of industries ∗ Numerous solved problems and review questions ∗ An extensive bibliography Engineering Optimization is a valuable working resource for engineers employed in practically all technological industries. It is also a superior didactic tool for graduate students of mechanical, civil, electrical, chemical, and aerospace engineering.

Homogenization and Structural Topology Optimization

Theory, Practice and Software

Author: Behrooz Hassani,Ernest Hinton

Publisher: Springer Science & Business Media

ISBN: 1447108914

Category: Mathematics

Page: 268

View: 1361

Structural topology optimization is a fast growing field that is finding numerous applications in automotive, aerospace and mechanical design processes. Homogenization is a mathematical theory with applications in several engineering problems that are governed by partial differential equations with rapidly oscillating coefficients Homogenization and Structural Topology Optimization brings the two concepts together and successfully bridges the previously overlooked gap between the mathematical theory and the practical implementation of the homogenization method. The book is presented in a unique self-teaching style that includes numerous illustrative examples, figures and detailed explanations of concepts. The text is divided into three parts which maintains the book's reader-friendly appeal.

Utility and Welfare Optimization

Theory and Practice in Electricity

Author: Chris Harris

Publisher: Springer

ISBN: 1137371005

Category: Political Science

Page: 261

View: 2099

Utility and Welfare Optimization in Electricity Market s lays out clear optimization strategies for understanding the economic foundations of regulatory supply measures, further cementing electricity's role as an asset class with fixed and variable costs.

Nature-Inspired Computing and Optimization

Theory and Applications

Author: Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu

Publisher: Springer

ISBN: 3319509209

Category: Computers

Page: 494

View: 7109

The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

Applied Optimization with MATLAB Programming

Author: P. Venkataraman

Publisher: John Wiley & Sons

ISBN: 047008488X

Category: Technology & Engineering

Page: 526

View: 7492

Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to analyze more variables (especially under non-linear, multivariable conditions) more quickly than ever before. This book covers all classical linear and nonlinear optimization techniques while focusing on the standard mathematical engine, MATLAB. As with the first edition, the author uses MATLAB in examples for running computer-based optimization problems. New coverage in this edition includes design optimization techniques such as Multidisciplinary Optimization, Explicit Solution for Boundary Value Problems, and Particle Swarm Optimization.

Multi-Objective Optimization in Computational Intelligence: Theory and Practice

Theory and Practice

Author: Thu Bui, Lam

Publisher: IGI Global

ISBN: 1599045001

Category: Technology & Engineering

Page: 496

View: 8601

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

Quantitative Financial Risk Management

Theory and Practice

Author: Constantin Zopounidis,Emilios Galariotis

Publisher: John Wiley & Sons

ISBN: 1118738187

Category: Business & Economics

Page: 448

View: 2020

A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in today′s uncertain world of globalization, market volatility, and geo–political crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.

Optimization

theory and applications

Author: S. S. Rao

Publisher: N.A

ISBN: N.A

Category: Mathematical optimization [1984]

Page: 711

View: 4764