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GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 2 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
SIGGRAPH
1992
ACM
14 years 17 days ago
Predicting reflectance functions from complex surfaces
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...
Stephen H. Westin, James Arvo, Kenneth E. Torrance
NIPS
1997
13 years 9 months ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
14 years 1 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
ISCAS
2007
IEEE
179views Hardware» more  ISCAS 2007»
14 years 2 months ago
Analysis for Signal and Power Integrity Using the Multilayered Finite Difference Method
— We present a method for fast analysis of signal and power integrity based on a recently developed multilayered finite difference method (M-FDM). In order to accurately model m...
Ege Engin, Krishna Bharath, Madhavan Swaminathan