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IOR
2011
152views more  IOR 2011»
13 years 3 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
FGCS
2008
127views more  FGCS 2008»
13 years 8 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...
AMS
2007
Springer
296views Robotics» more  AMS 2007»
14 years 3 months ago
Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Karl-Theodor Kalveram, André Seyfarth
CORR
2010
Springer
89views Education» more  CORR 2010»
13 years 6 months ago
A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
Anjan Kumar Kundu, Bijoy Bandyopadhyay, Sugata San...
WSC
2007
13 years 11 months ago
Stochastic trust region gradient-free method (strong): a new response-surface-based algorithm in simulation optimization
Response Surface Methodology (RSM) is a metamodelbased optimization method. Its strategy is to explore small subregions of the parameter space in succession instead of attempting ...
Kuo-Hao Chang, L. Jeff Hong, Hong Wan