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SAGA
2009
Springer
14 years 2 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
JASIS
1998
80views more  JASIS 1998»
13 years 7 months ago
A Distributed Representation Approach to Group Problem Solving
This article develops a theoretical framework of distributed representations to explore the representational properties in group problem solving. The basic principle of distribute...
Jiajie Zhang
SIGAL
1990
221views Algorithms» more  SIGAL 1990»
13 years 12 months ago
Complexity Cores and Hard Problem Instances
Many intractable problems such as NP-complete problems (provided P = NP) have easy subproblems. In contrast, we investigate the existence and the properties of inherently hard sub...
Uwe Schöning
SSWMC
2004
13 years 9 months ago
On the complexity and hardness of the steganography embedding problem
We analyze the complexity of the steganography problem and show that the decision version of the problem is NP-complete through transformation from the Knapsack problem. We also g...
Rajarathnam Chandramouli, Shalin P. Trivedi, R. N....
ICPR
2008
IEEE
14 years 9 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson