Violator spaces: Structure and algorithms
DOI10.1016/j.dam.2007.08.048zbMath1163.90651OpenAlexW2037741686MaRDI QIDQ943850
P. Škovroň, Ji{ří} Matoušek, Bernd Gärtner, Leo Rüst
Publication date: 10 September 2008
Published in: Discrete Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.dam.2007.08.048
generalized linear programmingLP-type problemviolator spacegeneralized linear complementarity problemunique sink orientationClarkson's algorithms
Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33) Randomized algorithms (68W20)
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Cites Work
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- Helly-type theorems and generalized linear programming
- Randomized pivot algorithms for \(P\)-matrix linear complementarity problems
- Finding the sink takes some time: An almost quadratic lower bound for finding the sink of unique sink oriented cubes
- On geometric optimization with few violated constraints
- A short proof of an interesting Helly-type theorem
- A subexponential bound for linear programming
- The number of unique-sink orientations of the hypercube
- Linear programming and unique sink orientations
- Unique Sink Orientations of Grids
- Jumping Doesn’t Help in Abstract Cubes
- On Linear-Time Deterministic Algorithms for Optimization Problems in Fixed Dimension
- Las Vegas algorithms for linear and integer programming when the dimension is small
- Linear programming — Randomization and abstract frameworks
- LP-orientations of cubes and crosspolytopes
- A combinatorial bound for linear programming and related problems
- A generalization of the linear complementarity problem
- A simple sampling lemma: Analysis and applications in geometric optimization