Constrained Global Optimization
Author | : Panos M. Pardalos |
Publisher | : Springer |
Total Pages | : 160 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Download Combinatorial And Global Optimization full books in PDF, epub, and Kindle. Read online free Combinatorial And Global Optimization ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Panos M. Pardalos |
Publisher | : Springer |
Total Pages | : 160 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Author | : Panos M. Pardalos |
Publisher | : World Scientific |
Total Pages | : 380 |
Release | : 2002 |
Genre | : Mathematics |
ISBN | : 9789810248024 |
This volume is a selection of refereed papers based on talks presented at a conference on "Combinatorial and Global Optimization" held at Crete, Greece." "Readership: Researchers in numerical & computational mathematics, optimization, combinatorics & graph theory, networking and materials engineering."--BOOK JACKET.
Author | : Christodoulos A. Floudas |
Publisher | : Springer Science & Business Media |
Total Pages | : 447 |
Release | : 2013-03-09 |
Genre | : Technology & Engineering |
ISBN | : 1475730403 |
This collection of challenging and well-designed test problems arising in literature studies also contains a wide spectrum of applications, including pooling/blending operations, heat exchanger network synthesis, homogeneous azeotropic separation, and dynamic optimization and optimal control problems.
Author | : Alexander Schrijver |
Publisher | : Springer Science & Business Media |
Total Pages | : 2024 |
Release | : 2003-02-12 |
Genre | : Business & Economics |
ISBN | : 9783540443896 |
From the reviews: "About 30 years ago, when I was a student, the first book on combinatorial optimization came out referred to as "the Lawler" simply. I think that now, with this volume Springer has landed a coup: "The Schrijver". The box is offered for less than 90.- EURO, which to my opinion is one of the best deals after the introduction of this currency." OR-Spectrum
Author | : Christos H. Papadimitriou |
Publisher | : Courier Corporation |
Total Pages | : 530 |
Release | : 2013-04-26 |
Genre | : Mathematics |
ISBN | : 0486320138 |
This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; local search heuristics for NP-complete problems, more. 1982 edition.
Author | : Rainer E Burkard |
Publisher | : World Scientific |
Total Pages | : 373 |
Release | : 2002-04-05 |
Genre | : Mathematics |
ISBN | : 9814489654 |
Combinatorial and global optimization problems appear in a wide range of applications in operations research, engineering, biological science, and computer science. In combinatorial optimization and graph theory, many approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. Recent major successes based on these approaches include interior point algorithms for linear and discrete problems, the celebrated Goemans-Williamson relaxation of the maximum cut problem, and the Du-Hwang solution of the Gilbert-Pollak conjecture. Since integer constraints are equivalent to nonconvex constraints, the fundamental difference between classes of optimization problems is not between discrete and continuous problems but between convex and nonconvex optimization problems. This volume is a selection of refereed papers based on talks presented at a conference on “Combinatorial and Global Optimization” held at Crete, Greece.
Author | : Hassan AbouEisha |
Publisher | : Springer |
Total Pages | : 277 |
Release | : 2018-05-22 |
Genre | : Technology & Engineering |
ISBN | : 3319918397 |
Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects. This book develops extensions of dynamic programming, enabling us to (i) describe the set of objects under consideration; (ii) perform a multi-stage optimization of objects relative to different criteria; (iii) count the number of optimal objects; (iv) find the set of Pareto optimal points for bi-criteria optimization problems; and (v) to study relationships between two criteria. It considers various applications, including optimization of decision trees and decision rule systems as algorithms for problem solving, as ways for knowledge representation, and as classifiers; optimization of element partition trees for rectangular meshes, which are used in finite element methods for solving PDEs; and multi-stage optimization for such classic combinatorial optimization problems as matrix chain multiplication, binary search trees, global sequence alignment, and shortest paths. The results presented are useful for researchers in combinatorial optimization, data mining, knowledge discovery, machine learning, and finite element methods, especially those working in rough set theory, test theory, logical analysis of data, and PDE solvers. This book can be used as the basis for graduate courses.
Author | : Laurence A. Wolsey |
Publisher | : John Wiley & Sons |
Total Pages | : 782 |
Release | : 2014-08-28 |
Genre | : Mathematics |
ISBN | : 1118626869 |
Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION "This book provides an excellent introduction and survey of traditional fields of combinatorial optimization . . . It is indeed one of the best and most complete texts on combinatorial optimization . . . available. [And] with more than 700 entries, [it] has quite an exhaustive reference list."-Optima "A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers. This book is an encyclopedic resource for such formulations, as well as for understanding the structure of and solving the resulting integer programming problems."-Computing Reviews "[This book] can serve as a basis for various graduate courses on discrete optimization as well as a reference book for researchers and practitioners."-Mathematical Reviews "This comprehensive and wide-ranging book will undoubtedly become a standard reference book for all those in the field of combinatorial optimization."-Bulletin of the London Mathematical Society "This text should be required reading for anybody who intends to do research in this area or even just to keep abreast of developments."-Times Higher Education Supplement, London Also of interest . . . INTEGER PROGRAMMING Laurence A. Wolsey Comprehensive and self-contained, this intermediate-level guide to integer programming provides readers with clear, up-to-date explanations on why some problems are difficult to solve, how techniques can be reformulated to give better results, and how mixed integer programming systems can be used more effectively. 1998 (0-471-28366-5) 260 pp.
Author | : Eugene Lawler |
Publisher | : Courier Corporation |
Total Pages | : 404 |
Release | : 2012-10-16 |
Genre | : Mathematics |
ISBN | : 048614366X |
Perceptive text examines shortest paths, network flows, bipartite and nonbipartite matching, matroids and the greedy algorithm, matroid intersections, and the matroid parity problems. Suitable for courses in combinatorial computing and concrete computational complexity.
Author | : Stanislav Uryasev |
Publisher | : Springer Science & Business Media |
Total Pages | : 438 |
Release | : 2013-03-09 |
Genre | : Technology & Engineering |
ISBN | : 1475765940 |
Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the practical experience gained in stochastic programming has been expanded to a much larger spectrum of applications including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and implementation of stochastic programming algorithms; (2) sensitivity analysis of stochastic systems; (3) stochastic programming applications and other related topics. Audience: Researchers and academies working in optimization, computer modeling, operations research and financial engineering. The book is appropriate as supplementary reading in courses on optimization and financial engineering.