Approximating and Simulating Multivalued StochasticDifferential Equations

Verfasser / Beitragende:
[Dominique Lepingle, Nguyen Thi Thao]
Ort, Verlag, Jahr:
2004
Enthalten in:
Monte Carlo Methods and Applications, 10/2(2004-06-01), 129-152
Format:
Artikel (online)
ID: 378943693
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024 7 0 |a 10.1515/156939604777303244  |2 doi 
035 |a (NATIONALLICENCE)gruyter-10.1515/156939604777303244 
245 0 0 |a Approximating and Simulating Multivalued StochasticDifferential Equations  |h [Elektronische Daten]  |c [Dominique Lepingle, Nguyen Thi Thao] 
520 3 |a We propose a two-step simulation scheme for the solution of a singular stochastic differential equation with exploding drift. First we estimate the strong order of the Yosida approximation. Then we use a semi-implicit Euler scheme to discretize the approximate solution. Numerical experiments are displayed for the paths of Brownian particles with strong repulsive interaction. We also present two simple simulation schemes for Bessel processes with arbitrary dimension. 
540 |a Copyright 2004, Walter de Gruyter 
690 7 |a Multivalued stochastic differential equations  |2 nationallicence 
690 7 |a Yosida approximation  |2 nationallicence 
690 7 |a interacting Brownian particles  |2 nationallicence 
690 7 |a semi-implicit scheme  |2 nationallicence 
700 1 |a Lepingle  |D Dominique  |u MAPMO, Université d'Orléans, F-45067 Orléans Cedex2  |4 aut 
700 1 |a Thao  |D Nguyen Thi  |u MAPMO, Université d'Orléans, F-45067 Orléans Cedex2  |4 aut 
773 0 |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 10/2(2004-06-01), 129-152  |x 0929-9629  |q 10:2<129  |1 2004  |2 10  |o mcma 
856 4 0 |u https://doi.org/10.1515/156939604777303244  |q text/html  |z Onlinezugriff via DOI 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lepingle  |D Dominique  |u MAPMO, Université d'Orléans, F-45067 Orléans Cedex2  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Thao  |D Nguyen Thi  |u MAPMO, Université d'Orléans, F-45067 Orléans Cedex2  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 10/2(2004-06-01), 129-152  |x 0929-9629  |q 10:2<129  |1 2004  |2 10  |o mcma 
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