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New Trends in Mathematical Programming

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Cover of 'New Trends in Mathematical Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Steven Vajda, 1901 – 1995
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    Chapter 2 The Fermat—Weber problem and the Lagrangian duality theory
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    Chapter 3 Longest Fragment First Algorithms for Data Compression
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    Chapter 4 Linear Operators and Stochastic Dominance
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    Chapter 5 Some Properties of Dini-Derivatives of Quasiconvex Functions
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    Chapter 6 Necessary conditions for two-function minimax inequalities
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    Chapter 7 Fitting Circles and Spheres to Coordinate Measuring Machine Data
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    Chapter 8 On Minty Variational Principle
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    Chapter 9 Single-facility location problems with arbitrary weights
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    Chapter 10 On Testing SLP Codes with SLP-IOR
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    Chapter 11 On Primal—Dual Path—Following Algorithms for Semidefinite Programming
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    Chapter 12 A Piecewise Linear Dual Procedure in Mixed Integer Programming
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    Chapter 13 Geometrical solution of weighted Fermat problem about triangles
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    Chapter 14 Separation and regularity in the image space
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    Chapter 15 Dynamic models and generalized equilibrium problems
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    Chapter 16 Ordering Heuristics in Interior Point LP Methods
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    Chapter 17 A Tabu Based Pattern Search Method for the Distance Geometry Problem
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    Chapter 18 Programming Under Probabilistic Constraint with Discrete Random Variable
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    Chapter 19 Variable metric methods along geodetics
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    Chapter 20 Criteria for Generalized Monotonicity
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    Chapter 21 On the k — out — of — r — from — n : F System with Unequal Element Probabilities
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    Chapter 22 A common root of three minimization problems
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Title
New Trends in Mathematical Programming
Published by
Springer US, November 2013
DOI 10.1007/978-1-4757-2878-1
ISBNs
978-1-4419-4793-2, 978-1-4757-2878-1
Editors

Giannessi, Franco, Komlósi, Sándor, Rapcsák, Tamás