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STOC
2003
ACM
164views Algorithms» more  STOC 2003»
14 years 7 months ago
Approximate counting by dynamic programming
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
Martin E. Dyer
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
14 years 24 days ago
Incremental low-discrepancy lattice methods for motion planning
We present deterministic sequences for use in sampling-based approaches to motion planning. They simultaneously combine the qualities found in many other sequences: i) the increme...
Stephen R. Lindemann, Steven M. LaValle
IPPS
1996
IEEE
13 years 11 months ago
A Parallel Algorithm for Minimization of Finite Automata
In this paper, we present a parallel algorithm for the minimization of deterministic finite state automata (DFA's) and discuss its implementation on a connection machine CM-5...
Bala Ravikumar, X. Xiong
ALDT
2009
Springer
126views Algorithms» more  ALDT 2009»
13 years 11 months ago
On Low-Envy Truthful Allocations
We study the problem of allocating a set of indivisible items to players having additive utility functions over the items. We consider allocations in which no player envies the bun...
Ioannis Caragiannis, Christos Kaklamanis, Panagiot...
AAAI
2008
13 years 9 months ago
Optimal Metric Planning with State Sets in Automata Representation
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
Björn Ulrich Borowsky, Stefan Edelkamp