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DAC
2005
ACM
16 years 24 days ago
Segregation by primary phase factors: a full-wave algorithm for model order reduction
Existing Full-wave Model Order Reduction (FMOR) approaches are based on Expanded Taylor Series Approximations (ETAS) of the oscillatory full-wave system matrix. The accuracy of su...
Thomas J. Klemas, Luca Daniel, Jacob K. White
WSC
2000
15 years 1 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...
IVC
2006
82views more  IVC 2006»
14 years 11 months ago
Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties
This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect...
Sasan Mahmoodi, Bayan S. Sharif
COGSCI
2011
49views more  COGSCI 2011»
14 years 6 months ago
What a Rational Parser Would Do
This article examines cognitive process models of human sentence comprehension based on the idea of informed search. These models are rational in the sense that they strive to qui...
John T. Hale
SAGA
2009
Springer
15 years 6 months ago
Scenario Reduction Techniques in Stochastic Programming
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
Werner Römisch