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SIAMJO
2002
124views more  SIAMJO 2002»
13 years 9 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
CHARME
2001
Springer
107views Hardware» more  CHARME 2001»
14 years 1 months ago
Using Combinatorial Optimization Methods for Quantification Scheduling
Model checking is the process of verifying whether a model of a concurrent system satisfies a specified temporal property. Symbolic algorithms based on Binary Decision Diagrams (BD...
Pankaj Chauhan, Edmund M. Clarke, Somesh Jha, Jame...
ICCV
2007
IEEE
14 years 12 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
NA
2010
235views more  NA 2010»
13 years 4 months ago
On new iterative method for solving systems of nonlinear equations
Solving systems of nonlinear equations is a relatively complicated problem for which a number of different approaches have been proposed. In this paper, we employ the Homotopy Anal...
Fadi Awawdeh
TCS
2008
13 years 10 months ago
Solving difference equations whose coefficients are not transcendental
We consider a large class of sequences, called admissible sequences, which are defined by systems of (possibly nonlinear) difference equations. A procedure for recursively enumera...
Manuel Kauers