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» Using Python to Solve Partial Differential Equations
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ICCV
2009
IEEE
15 years 29 days ago
A linear formulation of shape from specular flow
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or specular flow— on the image plane that observes it. This specular flow is r...
Guillermo D. Canas, Yuriy Vasilyev, Yair Adato, To...
VECPAR
2004
Springer
14 years 1 months ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 8 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
CDC
2010
IEEE
169views Control Systems» more  CDC 2010»
13 years 3 months ago
Control of a bicycle using virtual holonomic constraints
The problem of making a bicycle trace a strictly convex Jordan curve with bounded roll angle and bounded speed is investigated. The problem is solved by enforcing a virtual holonom...
Luca Consolini, Manfredi Maggiore
SIAMCO
2008
103views more  SIAMCO 2008»
13 years 8 months ago
Perturbation Methods in Stability and Norm Analysis of Spatially Periodic Systems
We consider systems governed by partial differential equations with spatially periodic coefficients over unbounded domains. These spatially periodic systems are considered as pertu...
Makan Fardad, Bassam Bamieh