Discrete geometry and optimization / Károly Bezdek, Antoine Deza, Yinyu Ye, editors.

Optimization has long been a source of both inspiration and applications for geometers, and conversely, discrete and convex geometry have provided the foundations for many optimization techniques, leading to a rich interplay between these subjects. The purpose of the Workshop on Discrete Geometry, t...

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Bibliographic Details
Other Authors: Bezdek, Károly, Deza, Antoine, 1966-, Ye, Yinyu
Format: Ebook
Language:English
Published: New York : Springer, [2013]
Series:Fields Institute communications ; v. 69.
Subjects:
Online Access:Springer eBooks
Table of Contents:
  • Preface
  • Discrete Geometry in Minkowski Spaces (Alonso, Martini, and Spirova)
  • Engineering Branch-and-Cut Algorithms for the Equicut Program (Anjos, Liers, Pardella, and Schmutzer)
  • An Approach to the Dodecahedral Conjecture Based on Bounds for Spherical Codes (Anstreicher)
  • On Minimal Tilings with Convex Cells Each Containing a Unit Ball (Bezdek)
  • On Volumes of Permutation Polytopes (Burggraf, De Loera, and Omar)
  • Monotone Paths in Planar Convex Subdivisions and Polytopes (Dumitrescu, Rote, and Toth).-Complexity of the Positive Semidefinite Matrix Completion Problem with a Rank Constraint (Eisenberg-Nagy, Laurent, and Varvitsiotis)
  • The Strong Dodecahedral Conjecture and Fejes Toth's Conjecture on Sphere Packings with Kissing Number Twelve (Hales)
  • Solving Nuclear Norm Regularized and Semidefinite Matrix Least Squares Problems with Linear Equality Constraints (Jiang, Sun, and Toh)
  • Techniques for Submodular Maximization (Lee)
  • A Further Generalization of the Colourful Caratheodory theorem (Meunier, Deza)
  • Expected Crossing Numbers (Mohar, Stephen)
  • EL-Labelings and Canonical Spanning Trees for Subword Complexes (Pilaud, Stump)
  • Bandwidth, Vertex Separators, and Eigenvalue Optimization (Rendl, Lisser, and Piacentini)
  • Exploiting Symmetries in Polyhedral Computations (Schurmann)
  • Conditions for Correct Sensor Network Localization Using SDP Relaxation (Shamsi, Taheri, Zhu, and Ye)
  • A Primal-Dual Smooth Perceptron-von Neumann Algorithm (Soheili, Pena)
  • Open Problems (Bezdek, Deza, and Ye).
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