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» A MAX-SAT Algorithm Portfolio
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WSC
2000
13 years 8 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
IOR
2010
71views more  IOR 2010»
13 years 4 months ago
Stochastic Root Finding and Efficient Estimation of Convex Risk Measures
Reliable risk measurement is a key problem for financial institutions and regulatory authorities. The current industry standard Value-at-Risk has several deficiencies. Improved ri...
Jörn Dunkel, Stefan Weber
MM
2004
ACM
154views Multimedia» more  MM 2004»
14 years 25 days ago
Web services selection for distributed composition of multimedia content
Growing numbers of pervasive devices are gaining access to the Internet. However, much of the existing rich multimedia content cannot be handled by mobile client devices with limi...
Matthias Wagner, Wolfgang Kellerer
CP
2004
Springer
14 years 24 days ago
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio
It is well known that the ratio of the number of clauses to the number of variables in a random k-SAT instance is highly correlated with the instance’s empirical hardness. We con...
Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoo...
ANOR
2007
165views more  ANOR 2007»
13 years 7 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug