Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download A Comparison Of Computing Techniques In Optimization Problems full books in PDF, epub, and Kindle. Read online A Comparison Of Computing Techniques In Optimization Problems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Stanley W. Ladouceur
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (57 download)
Download or read book A Comparison of Computing Techniques in Optimization Problems written by Stanley W. Ladouceur and published by . This book was released on 1966 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : G. Arienti
Publisher : Springer Science & Business Media
ISBN 13 : 3642859747
Total Pages : 200 pages
Book Rating : 4.6/5 (428 download)
Download or read book Computing Methods in Optimization Problems written by G. Arienti and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : A. V. Balakrishnan
Publisher :
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computing Methods in Optimization Problems written by A. V. Balakrishnan and published by . This book was released on 1964 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Variational theory and optimal control theory / Magnus R. Hestenes -- On the computation of the optimal temperature profile in a tubular reaction vessel / C. Storey and H.H. Rosenbrock -- Several trajectory optimization techniques / R.E. Kopp and R. McGill, H. Gardner Moyer and Gordon Pinkham -- A steepest ascent trajectory optimization method which reduces memory requirements / R.H. Hillsley and H.M. Robbins -- Dynamic programming, invariant imbedding and quasi-linearization: comparisons and interconnections / R. Bellman and R. Kalaba -- A comparison between some methods for computing optimum paths in the problem of Bolza / Frank D. Faulkner -- Minimizing functionals on Hilbert space / A.A. Goldstein -- Computational aspects of the time-optimal control problem / Edward J. Fadden and Elmer G. Gilbert -- An on-line identification scheme for multivariable nonlinear systems / H.C. Hsieh -- Method of convex ascent / Hubert Halkin -- Study of an algorithm for dynamic optimization / R. Perret and R. Rouxel -- The application of hybrid computers to the iterative solution of optimal control problems / Elmer G. Gilbert -- Synthesis of optimal controllers using hybrid analog-digital computers / B. Paiewonsky, P. Woodrow, W. Brunner, and P. Halbert -- Gradient methods for the optimization of dynamic system parameters by hybrid computation / George A. Bekey and Robert B. McGhee.
Author : Anita Khosla
Publisher : John Wiley & Sons
ISBN 13 : 111990627X
Total Pages : 548 pages
Book Rating : 4.1/5 (199 download)
Download or read book Optimization Techniques in Engineering written by Anita Khosla and published by John Wiley & Sons. This book was released on 2023-06-07 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: OPTIMIZATION TECHNIQUES IN ENGINEERING The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained. This book aims to present some of the recent developments in the area of optimization theory, methods, and applications in engineering. It focuses on the metaphor of the inspired system and how to configure and apply the various algorithms. The book comprises 30 chapters and is organized into two parts: Part I — Soft Computing and Evolutionary-Based Optimization; and Part II — Decision Science and Simulation-Based Optimization, which contains application-based chapters. Readers and users will find in the book: An overview and brief background of optimization methods which are used very popularly in almost all applications of science, engineering, technology, and mathematics; An in-depth treatment of contributions to optimal learning and optimizing engineering systems; Maps out the relations between optimization and other mathematical topics and disciplines; A problem-solving approach and a large number of illustrative examples, leading to a step-by-step formulation and solving of optimization problems. Audience Researchers, industry professionals, academicians, and doctoral scholars in major domains of engineering, production, thermal, electrical, industrial, materials, design, computer engineering, and natural sciences. The book is also suitable for researchers and postgraduate students in mathematics, applied mathematics, and industrial mathematics.
Author : P. Adby
Publisher : Springer Science & Business Media
ISBN 13 : 940095705X
Total Pages : 214 pages
Book Rating : 4.4/5 (9 download)
Download or read book Introduction to Optimization Methods written by P. Adby and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decade the techniques of non-linear optim ization have emerged as an important subject for study and research. The increasingly widespread application of optim ization has been stimulated by the availability of digital computers, and the necessity of using them in the investigation of large systems. This book is an introduction to non-linear methods of optimization and is suitable for undergraduate and post graduate courses in mathematics, the physical and social sciences, and engineering. The first half of the book covers the basic optimization techniques including linear search methods, steepest descent, least squares, and the Newton-Raphson method. These are described in detail, with worked numerical examples, since they form the basis from which advanced methods are derived. Since 1965 advanced methods of unconstrained and constrained optimization have been developed to utilise the computational power of the digital computer. The second half of the book describes fully important algorithms in current use such as variable metric methods for unconstrained problems and penalty function methods for constrained problems. Recent work, much of which has not yet been widely applied, is reviewed and compared with currently popular techniques under a few generic main headings. vi PREFACE Chapter I describes the optimization problem in mathemat ical form and defines the terminology used in the remainder of the book. Chapter 2 is concerned with single variable optimization. The main algorithms of both search and approximation methods are developed in detail since they are an essential part of many multi-variable methods.
Author : William Conley
Publisher :
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computer Optimization Techniques written by William Conley and published by . This book was released on 1984 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anuj Kumar
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110716216
Total Pages : 202 pages
Book Rating : 4.1/5 (17 download)
Download or read book Meta-heuristic Optimization Techniques written by Anuj Kumar and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-01-19 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offer a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature inspired algorithms. Their wide applicability makes them a hot research topic and an efficient tool for the solution of complex optimization problems in various field of sciences, engineering and in numerous industries.
Author : E. Spedicato
Publisher : Springer Science & Business Media
ISBN 13 : 9400903693
Total Pages : 572 pages
Book Rating : 4.4/5 (9 download)
Download or read book Algorithms for Continuous Optimization written by E. Spedicato and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NATO Advanced Study Institute on "Algorithms for continuous optimiza tion: the state of the art" was held September 5-18, 1993, at II Ciocco, Barga, Italy. It was attended by 75 students (among them many well known specialists in optimiza tion) from the following countries: Belgium, Brasil, Canada, China, Czech Republic, France, Germany, Greece, Hungary, Italy, Poland, Portugal, Rumania, Spain, Turkey, UK, USA, Venezuela. The lectures were given by 17 well known specialists in the field, from Brasil, China, Germany, Italy, Portugal, Russia, Sweden, UK, USA. Solving continuous optimization problems is a fundamental task in computational mathematics for applications in areas of engineering, economics, chemistry, biology and so on. Most real problems are nonlinear and can be of quite large size. Devel oping efficient algorithms for continuous optimization has been an important field of research in the last 30 years, with much additional impetus provided in the last decade by the availability of very fast and parallel computers. Techniques, like the simplex method, that were already considered fully developed thirty years ago have been thoroughly revised and enormously improved. The aim of this ASI was to present the state of the art in this field. While not all important aspects could be covered in the fifty hours of lectures (for instance multiob jective optimization had to be skipped), we believe that most important topics were presented, many of them by scientists who greatly contributed to their development.
Author : Lotfi Asker Zadeh
Publisher :
ISBN 13 :
Total Pages : 416 pages
Book Rating : 4.F/5 ( download)
Download or read book Computing Methods in Optimization Problems written by Lotfi Asker Zadeh and published by . This book was released on 1969 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zoltán Ádám Mann
Publisher : Scientific Research Publishing, Inc. USA
ISBN 13 : 1618960571
Total Pages : 182 pages
Book Rating : 4.6/5 (189 download)
Download or read book Optimization in computer engineering – Theory and applications written by Zoltán Ádám Mann and published by Scientific Research Publishing, Inc. USA. This book was released on 2011-11-15 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide an overview of classic as well as new research results on optimization problems and algorithms. Beside the theoretical basis, the book contains a number of chapters describing the application of the theory in practice, that is, reports on successfully solving real-world engineering challenges by means of optimization algorithms. These case studies are collected from a wide range of application domains within computer engineering. The diversity of the presented approaches offers a number of practical tips and insights into the practical application of optimization algorithms, highlighting real-world challenges and solutions. Researchers, practitioners and graduate students will find the book equally useful.
Author : Dianne P. O'Leary
Publisher : SIAM
ISBN 13 : 0898716667
Total Pages : 376 pages
Book Rating : 4.8/5 (987 download)
Download or read book Scientific Computing with Case Studies written by Dianne P. O'Leary and published by SIAM. This book was released on 2009-03-19 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.
Author : Juraj Hromkovič
Publisher : Springer Science & Business Media
ISBN 13 : 3662046164
Total Pages : 501 pages
Book Rating : 4.6/5 (62 download)
Download or read book Algorithmics for Hard Problems written by Juraj Hromkovič and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the methods of designing algorithms for hard computing tasks, concentrating mainly on approximate, randomized, and heuristic algorithms, and on the theoretical and experimental comparison of these approaches according to the requirements of the practice. This is the first book to systematically explain and compare all the main possibilities of attacking hard computing problems. It also closes the gap between theory and practice by providing at once a graduate textbook and a handbook for practitioners dealing with hard computing problems.
Author : A. V. Balakrishnan
Publisher :
ISBN 13 :
Total Pages : 327 pages
Book Rating : 4.:/5 (277 download)
Download or read book Computing Methods in Optimization Problems written by A. V. Balakrishnan and published by . This book was released on 1964 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lotfi A. Zadeh
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (31 download)
Download or read book Computing Methods in Optimization Problems written by Lotfi A. Zadeh and published by . This book was released on 1969 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Vladimir Tsurkov
Publisher : Springer Science & Business Media
ISBN 13 : 9780792368175
Total Pages : 328 pages
Book Rating : 4.3/5 (681 download)
Download or read book Large-scale Optimization written by Vladimir Tsurkov and published by Springer Science & Business Media. This book was released on 2001-03-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decomposition methods aim to reduce large-scale problems to simpler problems. This monograph presents selected aspects of the dimension-reduction problem. Exact and approximate aggregations of multidimensional systems are developed and from a known model of input-output balance, aggregation methods are categorized. The issues of loss of accuracy, recovery of original variables (disaggregation), and compatibility conditions are analyzed in detail. The method of iterative aggregation in large-scale problems is studied. For fixed weights, successively simpler aggregated problems are solved and the convergence of their solution to that of the original problem is analyzed. An introduction to block integer programming is considered. Duality theory, which is widely used in continuous block programming, does not work for the integer problem. A survey of alternative methods is presented and special attention is given to combined methods of decomposition. Block problems in which the coupling variables do not enter the binding constraints are studied. These models are worthwhile because they permit a decomposition with respect to primal and dual variables by two-level algorithms instead of three-level algorithms. Audience: This book is addressed to specialists in operations research, optimization, and optimal control.
Author : Srikanta Patnaik
Publisher : Springer
ISBN 13 : 3319509209
Total Pages : 506 pages
Book Rating : 4.3/5 (195 download)
Download or read book Nature-Inspired Computing and Optimization written by Srikanta Patnaik and published by Springer. This book was released on 2017-03-07 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 1000537145
Total Pages : 136 pages
Book Rating : 4.0/5 (5 download)
Download or read book Optimization Using Evolutionary Algorithms and Metaheuristics written by Kaushik Kumar and published by CRC Press. This book was released on 2019-08-22 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering
