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» Polynomial Interpretations and the Complexity of Algorithms
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COCO
2010
Springer
148views Algorithms» more  COCO 2010»
15 years 10 months ago
Derandomizing from Random Strings
—In this paper we show that BPP is truth-table reducible to the set of Kolmogorov random strings RK . It was previously known that PSPACE, and hence BPP is Turingreducible to RK ...
Harry Buhrman, Lance Fortnow, Michal Koucký...
CP
2006
Springer
15 years 10 months ago
Compiling Constraint Networks into AND/OR Multi-valued Decision Diagrams (AOMDDs)
Abstract. Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Ordered Decision Diagrams with AND nodes, in order to capture function de...
Robert Mateescu, Rina Dechter
IJCAI
2001
15 years 7 months ago
Market Clearability
Market mechanisms play a central role in AI as a coordination tool in multiagent systems and as an application area for algorithm design. Mechanisms where buyers are directly clea...
Tuomas Sandholm, Subhash Suri
AAAI
2000
15 years 7 months ago
Divide-and-Conquer Frontier Search Applied to Optimal Sequence Alignment
We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Richard E. Korf, Weixiong Zhang
CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
15 years 6 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper