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» Using Python to Solve Partial Differential Equations
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VECPAR
1998
Springer
14 years 5 days ago
Simulating Magnetised Plasma with the Versatile Advection Code
Abstract. Matter in the universe mainly consists of plasma. The dynamics of plasmas is controlled by magnetic fields. To simulate the evolution of magnetised plasma, we solve the e...
Rony Keppens, Gábor Tóth
DM
2000
127views more  DM 2000»
13 years 7 months ago
Special formal series solutions of linear operator equations
The transformation which assigns to a linear operator L the recurrence satisfied by coefficient sequences of the polynomial series in its kernel, is shown to be an isomorphism of ...
Sergei A. Abramov, Marko Petkovsek, Anna A. Ryaben...
SIAMSC
2008
143views more  SIAMSC 2008»
13 years 8 months ago
Numerical Valuation of European and American Options under Kou's Jump-Diffusion Model
Numerical methods are developed for pricing European and American options under Kou's jump-diffusion model which assumes the price of the underlying asset to behave like a ge...
Jari Toivanen
EWC
2002
86views more  EWC 2002»
13 years 7 months ago
On Object-Oriented Frameworks and Coordinate Free Formulations of PDEs
An object-oriented (OO) framework for Partial tial Equations (PDEs) provides software abstractions for numerical simulation of PDEs. The design of such frameworks is not trivial, a...
Magne Haveraaen, Hans Z. Munthe-Kaas, Krister &Ari...
CSDA
2008
122views more  CSDA 2008»
13 years 8 months ago
Bayesian inference for nonlinear multivariate diffusion models observed with error
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
Andrew Golightly, Darren J. Wilkinson