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Minimax and Applications

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Cover of 'Minimax and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Minimax Theorems and Their Proofs
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    Chapter 2 A Survey on Minimax Trees And Associated Algorithms
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    Chapter 3 An Iterative Method for the Minimax Problem
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    Chapter 4 A Dual and Interior Point Approach to Solve Convex Min-Max Problems
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    Chapter 5 Determining the Performance Ratio of Algorithm Multifit for Scheduling
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    Chapter 6 A Study of On-Line Scheduling Two-Stage Shops
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    Chapter 7 Maxmin Formulation of the Apportionments of Seats to a Parliament
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    Chapter 8 On Shortest K -Edge Connected Steiner Networks with Rectilinear Distance
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    Chapter 9 Mutually Repellant Sampling
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    Chapter 10 Geometry and Local Optimality Conditions for Bilevel Programs with Quadratic Strictly Convex Lower Levels
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    Chapter 11 The Spherical One-Center Problem
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    Chapter 12 On Min-Max Optimization of a Collection of Classical Discrete Optimization Problems
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    Chapter 13 Heilbronn Problem for Six Points in a Planar Convex Body
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    Chapter 14 Heilbronn Problem for Seven Points in a Planar Convex Body
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    Chapter 15 On the Complexity of Min-Max Optimization Problems and their Approximation
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    Chapter 16 A Competitive Algorithm for the Counterfeit Coin Problem
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    Chapter 17 A Minimax αβ Relaxation for Global Optimization
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    Chapter 18 Minimax Problems in Combinatorial Optimization
Attention for Chapter 14: Heilbronn Problem for Seven Points in a Planar Convex Body
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Chapter title
Heilbronn Problem for Seven Points in a Planar Convex Body
Chapter number 14
Book title
Minimax and Applications
Published by
Springer, Boston, MA, January 1995
DOI 10.1007/978-1-4613-3557-3_14
Book ISBNs
978-1-4613-3559-7, 978-1-4613-3557-3
Authors

Lu Yang, Zhenbing Zeng, Yang, Lu, Zeng, Zhenbing

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