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» Using Python to Solve Partial Differential Equations
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STOC
2010
ACM
176views Algorithms» more  STOC 2010»
14 years 24 days ago
Complexity Theory for Operators in Analysis
We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...
Akitoshi Kawamura and Stephen Cook
CPHYSICS
2006
182views more  CPHYSICS 2006»
13 years 8 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
SG
2007
Springer
14 years 2 months ago
A Sketch-Based Interface for Modeling Myocardial Fiber Orientation
: We propose a sketch-based interface for modeling the myocardial fiber orientation required in the electrophysiological simulation of the heart, especially the ventricles. The use...
Kenshi Takayama, Takeo Igarashi, Ryo Haraguchi, Ka...
JAIR
2008
119views more  JAIR 2008»
13 years 8 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Sherief Abdallah, Victor R. Lesser
WCE
2007
13 years 9 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius