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IJAR
2006
98views more  IJAR 2006»
13 years 7 months ago
A forward-backward Monte Carlo method for solving influence diagrams
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
Andrés Cano, Manuel Gómez, Seraf&iac...
KR
2004
Springer
14 years 1 months ago
An Improved Integer Local Search for Complex Scheduling Problems
We consider complex scheduling problems that can be captured as optimization under hard and soft constraints. The objective of such an optimization problem is to satisfy as many h...
Weixiong Zhang, Xiaotao Zhang
FOIKS
2006
Springer
13 years 11 months ago
Consistency Checking Algorithms for Restricted UML Class Diagrams
Abstract. Automatic debugging of UML class diagrams helps in the visual specification of software systems because users cannot detect errors in logical inconsistency easily. This p...
Ken Kaneiwa, Ken Satoh
ACMSE
2000
ACM
14 years 4 days ago
Exploring an information-based approach to computation and computational complexity
We present the background and justi cation for a new approachto studying computation and computational complexity. We focus on categories of problems and categories of solutions w...
D. E. Stevenson
AMC
2007
108views more  AMC 2007»
13 years 8 months ago
How robust are average complexity measures? A statistical case study
: Average case analysis forms an interesting and intriguing part of algorithm theory since it explains why some algorithms with bad worst-case complexity can better themselves in p...
Soubhik Chakraborty, Suman Kumar Sourabh