Linear Network Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linear Network Optimization write by Dimitri P. Bertsekas. This book was released on 1991. Linear Network Optimization available in PDF, EPUB and Kindle. Linear Network Optimization presents a thorough treatment of classical approaches to network problems such as shortest path, max-flow, assignment, transportation, and minimum cost flow problems.
Network Optimization Problems: Algorithms, Applications And Complexity
Network Optimization Problems: Algorithms, Applications And Complexity - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Network Optimization Problems: Algorithms, Applications And Complexity write by Ding-zhu Du. This book was released on 1993-04-27. Network Optimization Problems: Algorithms, Applications And Complexity available in PDF, EPUB and Kindle. In the past few decades, there has been a large amount of work on algorithms for linear network flow problems, special classes of network problems such as assignment problems (linear and quadratic), Steiner tree problem, topology network design and nonconvex cost network flow problems.Network optimization problems find numerous applications in transportation, in communication network design, in production and inventory planning, in facilities location and allocation, and in VLSI design.The purpose of this book is to cover a spectrum of recent developments in network optimization problems, from linear networks to general nonconvex network flow problems./a
Network Flows and Monotropic Optimization
Network Flows and Monotropic Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Network Flows and Monotropic Optimization write by R. Tyrell Rockafellar. This book was released on 1999-06-01. Network Flows and Monotropic Optimization available in PDF, EPUB and Kindle. A rigorous and comprehensive treatment of network flow theory and monotropic optimization by one of the world's most renowned applied mathematicians. This classic textbook covers extensively the duality theory and the algorithms of linear and nonlinear network optimization optimization, and their significant extensions to monotropic programming (separable convex constrained optimization problems, including linear programs). It complements our other book on the subject of network optimization Network Optimization: Continuous and Discrete Models (Athena Scientific, 1998). Monotropic programming problems are characterized by a rich interplay between combinatorial structure and convexity properties. Rockafellar develops, for the first time, algorithms and a remarkably complete duality theory for these problems. Among its special features the book: (a) Treats in-depth the duality theory for linear and nonlinear network optimization (b) Uses a rigorous step-by-step approach to develop the principal network optimization algorithms (c) Covers the main algorithms for specialized network problems, such as max-flow, feasibility, assignment, and shortest path (d) Develops in detail the theory of monotropic programming, based on the author's highly acclaimed research (e) Contains many examples, illustrations, and exercises (f) Contains much new material not found in any other textbook
Network Optimization
Network Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Network Optimization write by Panos M. Pardalos. This book was released on 2012-12-06. Network Optimization available in PDF, EPUB and Kindle. Network optimization is important in the modeling of problems and processes from such fields as engineering, computer science, operations research, transportation, telecommunication, decision support systems, manufacturing, and airline scheduling. Recent advances in data structures, computer technology, and algorithm development have made it possible to solve classes of network optimization problems that until recently were intractable. The refereed papers in this volume reflect the interdisciplinary efforts of a large group of scientists from academia and industry to model and solve complicated large-scale network optimization problems.
Neural Networks in Optimization
Neural Networks in Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Networks in Optimization write by Xiang-Sun Zhang. This book was released on 2013-03-09. Neural Networks in Optimization available in PDF, EPUB and Kindle. People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice. There are two ways in which one can enhance the efficiency of searching for the solutions of these problems. The first is to improve the speed and memory capacity of hardware. We all have witnessed the computer industry's amazing achievements with hardware and software developments over the last twenty years. On one hand many computers, bought only a few years ago, are being sent to elementary schools for children to learn the ABC's of computing. On the other hand, with economic, scientific and military developments, it seems that the increase of intricacy and the size of newly arising problems have no end. We all realize then that the second way, to design good algorithms, will definitely compensate for the hardware limitations in the case of complicated problems. It is the collective and parallel computation property of artificial neural net works that has activated the enthusiasm of researchers in the field of computer science and applied mathematics. It is hard to say that artificial neural networks are solvers of the above-mentioned dilemma, but at least they throw some new light on the difficulties we face. We not only anticipate that there will be neural computers with intelligence but we also believe that the research results of artificial neural networks might lead to new algorithms on von Neumann's computers.
