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» Using Python to Solve Partial Differential Equations
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SIAMSC
2011
133views more  SIAMSC 2011»
13 years 2 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»
13 years 7 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...
CORR
2008
Springer
90views Education» more  CORR 2008»
13 years 8 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
ICASSP
2011
IEEE
12 years 11 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
AMC
2006
87views more  AMC 2006»
13 years 8 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