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» Challenges and Unsolved Problems
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101
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WSC
2004
15 years 2 months ago
Solving Stochastic Mathematical Programs with Complementarity Constraints Using Simulation
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
S. Ilker Birbil, Gül Gürkan, Ovidiu List...
82
Voted
CC
2007
Springer
157views System Software» more  CC 2007»
15 years 7 months ago
New Algorithms for SIMD Alignment
Optimizing programs for modern multiprocessor or vector platforms is a major important challenge for compilers today. In this work, we focus on one challenging aspect: the SIMD ALI...
Liza Fireman, Erez Petrank, Ayal Zaks
78
Voted
AAAI
1997
15 years 2 months ago
Models of Continual Computation
Automated problem solving is viewed typically as the expenditure of computation to solve one or more problems passed to a reasoning system. In response to each problem received, e...
Eric Horvitz
TKDE
2008
121views more  TKDE 2008»
15 years 20 days ago
Schema Matching Using Interattribute Dependencies
Schema matching is one of the key challenges in information integration. It is a labor-intensive and time-consuming process. To alleviate the problem, many automated solutions have...
Jaewoo Kang, Jeffrey F. Naughton
CCE
2008
15 years 26 days ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny