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AI
2003
Springer
14 years 19 days ago
A Graph Based Backtracking Algorithm for Solving General CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
Wanlin Pang, Scott D. Goodwin
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 7 months ago
Penalty Decomposition Methods for Rank Minimization
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
Zhaosong Lu, Yong Zhang
CP
2004
Springer
14 years 24 days ago
A Hybrid Method for Planning and Scheduling
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...
John N. Hooker
FOCS
1991
IEEE
13 years 11 months ago
Dynamic Three-Dimensional Linear Programming
We perform linear programming optimizations on the intersection of k polyhedra in R3 , represented by their outer recursive decompositions, in expected time O(k log k log n + √ ...
David Eppstein
JPDC
2007
96views more  JPDC 2007»
13 years 7 months ago
Optimal pipeline decomposition and adaptive network mapping to support distributed remote visualization
This paper discusses algorithmic and implementation aspects of a distributed remote visualization system that optimally decomposes and adaptively maps the visualization pipeline t...
Mengxia Zhu, Qishi Wu, Nageswara S. V. Rao, S. Sit...