• Produktbild: State of the Art in Global Optimization
  • Produktbild: State of the Art in Global Optimization
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State of the Art in Global Optimization Computational Methods and Applications

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.02.1996

Herausgeber

Christodoulos A. Floudas + weitere

Verlag

Springer Us

Seitenzahl

654

Maße (L/B/H)

23,4/15,6/3,7 cm

Gewicht

1102 g

Auflage

1996 edition

Sprache

Englisch

ISBN

978-0-7923-3838-3

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

29.02.1996

Herausgeber

Verlag

Springer Us

Seitenzahl

654

Maße (L/B/H)

23,4/15,6/3,7 cm

Gewicht

1102 g

Auflage

1996 edition

Sprache

Englisch

ISBN

978-0-7923-3838-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: State of the Art in Global Optimization
  • Produktbild: State of the Art in Global Optimization
  • Preface. Lagrange Duality in Partly Convex Programming; S. Zlobec. Global Optimization Using Hyperbolic Cross Points; E. Novak, K. Ritter. Global Minimization of Separable Concave Functions under Linear Constraints with Totally Unimodular Matrices; R. Horst, N. Van Thoai. On Existence of Robust Minimizers; S. Shi, et al. A Branch and Bound Algorithm for the Quadratic Assignment Problem Using a Lower Bound Based on Linear Programming; K.G. Ramakrishan, et al. Dynamic Matrix Factorization Methods for Using Formulations Derived from Higher Order Lifting Techniques in the Solution of the Quadratic Assignment Problem; B. Ramachandran, J.K. Pekny. Conical Coercivity Conditions and Global Minimization on Cones. An Existence Result; G. Isac. The Use of Ordinary Differential Equations in Quadratic Maximization with Integer Constraints; P. Maponi, et al. Adaptive Control via Non-Convex Optimization; G.H. Staus, et al. A Decomposition-Based Global Optimization Approach for Solving Bilevel Linear and Quadratic Problems; V. Visweswaran, et al. Generalized TRUST Algorithms for Global Optimization; J. Barhen, V. Protopopescu. Test Results for an Interval Branch and Bound Algorithm for Equality-Constrained Optimization; R.B. Kearfott. Equivalent Methods for Global Optimization; D. MacLagan et al. A C++ Class Library for Interval Arithmetic in Global Optimization; K. Holmqvist, A. Migdalas. On the Convergence of Localisation Search; D.W. Bulger, G.R. Wood. Stochastic Approximation with Smoothing for Optimization of an Adaptive Recursive Filter; W. Edmonson, et al. The Grouping Genetic Algorithm; E. Falkenauer. Accelerating Convergence of Branch-and-Bound Algorithms for Quadratically Constrained Optimization Problems; T. Van Voorhis, F. Al-Khayyal. Distributed Decomposition-based Approaches in Global Optimization; I.P. Androulakis, et al. A Finite Algorithm for Global Minimization of Separable Concave Programs; J.P. Shectman, N.V. Sahinidis. A Pseudo &egr;-Approximate Algorithm for Feedback Vertex Set; T. Qian, et al. Iterative Topographical Global Optimization;A. Torn, S. Viitanen. Global Optimization for the Chemical and Phase Equilibrium Problem Using Interval Analysis; K.I.M. McKinnon, et al. Nonconvex Global Optimization of the Separable Resource Allocation Problem with Continuous Variables; E. Haddad. A d.c. Approach to the Largest Empty Sphere Problem in Higher Dimension; J. Shi, Y. Yoshitsugu. A General D.C. Approach to Location Problems; H. Tuy. Global Optimization by Parallel Constrained Biased Random Search; I. Garcia, G.T. Herman. Global Optimization Problem in Computer Vision; P. Sussner, et al. An Application of Optimization to the Problem of Climate Change; J.A. Filar, et al. Dynamic Visualization in Modelling and Optimization of Ill Defined Problems; W.F. Eddy, A. Mockus. A New Global Optimization Algorithm for Batch Process Scheduling; L. Mockus, G.V. Reklaitis. Nonconvexity and Decent in Nonlinear Programming; A. Lucia, J. Xu. Global Optimization of Chemical Processes Using Stochastic Algorithms; J.R. Banga, W.D. Seider. Logic-Based Outer- Approximation and Benders Decomposition Algorithms for the Synthesis of Process Networks; M. Turkay, I.E. Grossmann. Combinatorially Accelerated Branch-and-Bound Method for Solving the MIP Model of Process Network Synthesis; F. Friedler, et al. Discrete Optimization Using String Encodings for the Synthesis of Complete Chemical Processes; E.S. Fraga.