Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
A subexponential randomized simplex algorithm (extended abstract)
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Randomized algorithms
The worst-case running time of the random simplex algorithm is exponential in the height
Information Processing Letters
Linear programming, the simplex algorithm and simple polytopes
Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Concrete Mathematics: A Foundation for Computer Science
Concrete Mathematics: A Foundation for Computer Science
Lectures on Discrete Geometry
Subexponential lower bounds for randomized pivoting rules for the simplex algorithm
Proceedings of the forty-third annual ACM symposium on Theory of computing
A subexponential lower bound for Zadeh's pivoting rule for solving linear programs and games
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
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We analyze a randomized pivoting process involving one line and n points in the plane. The process models the behavior of the RANDOM-EDGE simplex algorithm on simple polytopes with n facets in dimension n - 2. We obtain a tight O(log2 n) bound for the expected number of pivot steps. This is the first nontrivial bound for RANDOM-EDGE, which goes beyond bounds for specific polytopes. The process itself can be interpreted as a simple algorithm for certain 2-variable linear programming problems, and we prove a tight Θ(n) bound for its expected runtime.