5 edition of **Network Flows and Monotropic Optimization** found in the catalog.

Network Flows and Monotropic Optimization

R. Tyrrell Rockafellar

- 224 Want to read
- 31 Currently reading

Published
**July 1998**
by Athena Scientific
.

Written in English

- Networking - General,
- Network analysis (Planning),
- Duality theory (Mathematics),
- Convex programming,
- Linear Programming,
- Mathematics,
- Computers - Communications / Networking,
- Computer Bks - Communications / Networking

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 634 |

ID Numbers | |

Open Library | OL9835674M |

ISBN 10 | 188652906X |

ISBN 10 | 9781886529069 |

OCLC/WorldCa | 49370829 |

Convex Analysis (Princeton Landmarks in Mathematics and Physics Book 36) by R. Tyrrell Rockafellar Network Flows and Monotropic Optimization Jul 1, by R. Tyrrell Rockafellar Hardcover. $ $ 49 Usually ships within 1 to 3 months. Relaxation methods for monotropic programs. Inverse Tension Problems and Monotropic Optimization. that these inverse tension problems are in a way "dual" to the inverse network flows. We.

Optimal selections are parameter-dependent optimal solutions of parametric optimization problems whose properties can be used in sensitivity analysis. Here we present a qualitative theory of sensitivity analysis for linearly-constrained convex separable (i.e., monotropic) parametric optimization problems. Three qualitative sensitivity analysis results previously derived for network flows are Cited by: 2. Discover Book Depository's huge selection of Athena Scientific books online. Free delivery worldwide on over 20 million titles. Network Flows and Monotropic Optimization. R Tyrrell Rockafellar. 01 Jul Hardback. unavailable. Notify me. Constrained Optimization and Lagrange Multiplier Methods. Dimitri P Bertsekas. 01 Jan Book.

Some of the other texts are considered classics - some are just listed because I found them on my shelf. I have also listed a few texts which are in related areas and are Conference , when asked a question, I might respond with the name of a text. In addition to approximately papers and his Convex Analysis book, Rockafellar is the author of five other books: Monotone Processes of Convex and Concave Type, Conjugate Duality and Optimization, The Theory of Subgradients and its Applications to Problems of Optimization: Convex and Nonconvex Functions, Network Flows and Monotropic.

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It complements our other book on the subject of network optimization Network Optimization: Continuous and Discrete Models (Athena Scientific, ). Monotropic programming problems are characterized by a rich interplay between combinatorial structure and convexity properties. 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, first published by J. Wiley & Sons, Inc., incovers extensively the duality theory and the algorithms of linear and nonlinear network optimization optimization, and Cited by: Network flows and monotropic optimization.

[R Tyrrell Rockafellar] Describes optimization problem in which duality is an important computational tool, including network and linear programming. Book: All Authors / Contributors: R Tyrrell Rockafellar. Open Library is an open, editable library catalog, building towards a web page for every book ever published.

Network flows and monotropic optimization by R. Tyrrell Rockafellar; 2 editions; First published in ; Subjects: Duality theory (Mathematics), Network analysis (Planning), Convex programming, Linear programming, Analyse de reseau.

Cite this article as: Barrett, A. J Oper Res Soc () First Online 01 February ; DOI Cited by: Network Flows and Monotropic Optimization. Preface: This book is aimed at the kinds of optimization problems in which duality is as important a tool in computation as it is in theory and interpretation.

These problems are characterized by a very rich interplay between combinatorial structure and. Describes optimization problem in which duality is an important computational tool, including network and linear programming.

Introduces monotropic programming, a new form of mathematical programming developed by the : Network Flows and Monotropic Optimization available in Hardcover.

Add to Wishlist. ISBN X ISBN Pub. Date: 07/28/ Publisher: Athena Scientific. Network Flows and Monotropic Optimization.

Publish your book with B&N. Learn More. The B&N Mastercard® Price: $ BOOK REVIEWS Network Flows and Monotropic Optimization. By R. ROCKAFELLAR. John Wiley & Sons, New York, xiv + pp. $ ISBN A volume in Pure and Applied Mathematics: A Wiley-Interscience Series of Texts, Mono-graphs, and Tracts.

Linear programming and network flows have long proved their merit as significant. Network optimization lies in the middle of the great divide that separates the two major types of optimization problems, continuous and discrete. The ties between linear programming and. The book is supplemented by a long web-based chapter (over pages), which covers the most popular convex optimization algorithms (and some new ones), and can be downloaded from this page.

), Introduction to Linear Optimization (Athena Scientific, ), and Network Flows and Monotropic Optimization (Athena Scientific, ). From the. Convergence of a Block‐Oriented Quasi‐Cyclic Jacobi Method Wright–Fisher Diffusion in One Dimension Asymptotic Behavior of the Nonlinear Vlasov Equation with a Self-Consistent ForceAuthor: Dimitri P.

Bertsekas. Network Flows: Theory, Algorithms, and Applications | Ravindra K. Ahuja, Thomas L. Magnanti, James B.

Orlin | download | B–OK. Download books for free. Find books. Find many great new & used options and get the best deals for Network Flows and Monotropic Optimization by R.

Tyrrell Rockafellar (, Hardcover) at the best online prices at eBay. Free shipping for many products. White, Theory of Matroids, Cambridge University Press (). Pulleyblank, Progress in Combinatorial Optimization, Academic Press (). Rockafellar, Ralph T. The theory of subgradients and its applications to problems of optimization.

Convex and nonconvex functions. Heldermann Verlag, Berlin, vii+ pp. ISBN ; R. Rockafellar. Network Flows and Monotropic Optimization.

Wiley. Rockafellar, R. Tyrrell; Wets, Roger J-B () []. Variational Alma mater: Harvard University. It offers in-depth and self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including a description of new and novel polynomial-time algorithms for these core models.

For professionals working with network flows, optimization, and network programming. The book can be used for a course on network optimization or for part of a course on introductory optimization; such courses have ﬂourished in engineering, operations research, and applied mathematics curricula.

The book contains a large number of examples and exercises, which should enhance its suitability for classroom Size: 39KB. Books and Book Chapters; Referred Journal Articles. Journal Articles () Journal Articles ( – ) “Network Flows and Monotropic Optimization”, Wiley-Interscience, M.

Bazaraa, J. Jarvis, H. Sherali, “Linear Programming and Network Flows”, John Wiley and Sons, 2nd Edition, Theory, Algorithms, and Applications. Author: Ravindra K. Ahuja,Thomas L. Magnanti,James B. Orlin; Publisher: N.A ISBN: Category: Mathematical optimization Page: View: DOWNLOAD NOW» Bringing together the classic and the contemporary aspects of the field, this comprehensive introduction to network flows provides an integrative view of theory, algorithms, and.

The book can be used for a course on network optimization or for part of a course on introductory optimization at the ﬁrst-year graduate level.

With the exception of some of the material in Chapter 9, the prerequisites are fairly elementary.() An ϵ-Out-of-Kilter Method for Monotropic Programming.

Mathematics of Operations ResearchSIAM Journal on Control and OptimizationChapter IV Network flows. Optimization, () Nonlinear network optimization on a Cited by: Rockafellar, R.T.

() Network Flows and Monotropic Optimization. John Wiley and Sons, New York. zbMATH Google Scholar Strang, G. () Maximal flow through a by: 5.