A tamed-adaptive Euler-Maruyama approximation scheme is proposed for Levy-driven stochastic differential equations with locally Lipschitz continuous, polynomial growth drift, and locally Holder continuous, polynomial growth diffusion coefficients. The new scheme converges in both finite and infinite time intervals under some suitable conditions on the regularity and the growth of the coefficients.
机构:
Univ Paul Sabatier III Toulouse, Inst Math Toulouse, 118 Route Narbonne, F-31062 Toulouse, FranceUniv Paul Sabatier III Toulouse, Inst Math Toulouse, 118 Route Narbonne, F-31062 Toulouse, France
Kuehn, Franziska
Schilling, Rene L.
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机构:
Tech Univ Dresden, Fachrichtung Math, Inst Math Stochast, D-01062 Dresden, GermanyUniv Paul Sabatier III Toulouse, Inst Math Toulouse, 118 Route Narbonne, F-31062 Toulouse, France