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» Using Python to Solve Partial Differential Equations
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127
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SIAMSC
2011
133views more  SIAMSC 2011»
14 years 9 months ago
On the Existence and the Applications of Modified Equations for Stochastic Differential Equations
In this paper we describe a general framework for deriving modified equations for stochastic differential equations with respect to weak convergence. Modified equations are deri...
K. C. Zygalakis
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
15 years 2 months ago
Optimal controller tuning for nonlinear processes
: This work proposes a systematic methodology for the optimal selection of controller parameters, in the sense of minimizing a performance index which is a quadratic function of th...
Nikolaos Kazantzis, Costas Kravaris, Costas Tseron...
89
Voted
CORR
2008
Springer
90views Education» more  CORR 2008»
15 years 2 months ago
Spacetime Meshing for Discontinuous Galerkin Methods
Abstract. Spacetime-discontinuous Galerkin (SDG) finite element methods are used to solve hyperbolic spacetime partial differential equations (PDEs) to accurately model wave propag...
Shripad Thite
144
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Cooperative Maximum Likelihood estimation for fluid flow dynamics in biosensor arrays
Abstract—This paper deals with estimation of the concentration of target molecules in a fluid when it flows past multiple biosensors. The fluid flow is modelled as an advecti...
Maryam Abolfath Beygi, Vikram Krishnamurthy
103
Voted
AMC
2006
87views more  AMC 2006»
15 years 2 months ago
Numerical solution of a non-classical parabolic problem: An integro-differential approach
A numerical method based on an integro-differential formulation and approximation by local interpolating functions is proposed for solving a one-dimensional parabolic partial diff...
Whye-Teong Ang