In this paper we consider the development of hybrid numerical methods for the solution of hyperbolic relaxation problems with multiple scales. The main ingredients in the schemes are a suitable merging of probabilistic Monte Carlo methods in non stiff regimes with high resolution shock capturing techniques in stiff ones. The key aspect in the development of the algorithms is the choice of a suitable hybrid representation of the solution. After the introduction of the different schemes the performance of the new methods is tested in the case of Jin-Xin relaxation system and Broadwell model
A novel genuinely multi-dimensional relaxation scheme is proposed. Based on a new discrete velocity ...
Statistical solutions are time-parameterized probability measures on spaces of integrable functions,...
In this paper we consider the development of Implicit-Explicit (IMEX) Runge-Kutta schemes for hyperb...
In this paper we consider the development of hybrid numerical methods for the solution of hyperboli...
In these notes we present some recent results on the development of hybrid methods for hyperbolic an...
In these notes we present some recent results on the development of hybrid methods for hyperbolic an...
In some recent works [G. Dimarco and L. Pareschi, Comm. Math. Sci., 1 (2006), pp. 155–177; Multiscal...
Scope of this PhD thesis is the development of efficient algorithms for the numerical simulation of ...
In this work we consider the development of a new family of hybrid numerical methods for the soluti...
A new algorithm for the numerical solution of stiff hyperbolic relaxation systems is presented. It i...
The paper deals with the construction and analysis of efficient high order finite volume shock captu...
A splitting scheme is used for numerical solution of hyperbolic systems with a stiff relaxation. Hig...
We consider the development of high-order space and time numerical methods based on implicit-explici...
Statistical solutions are time-parameterized probability measures on spaces of integrable functions,...
The present notes contains both a survey of and some novelties about mathematical problems which eme...
A novel genuinely multi-dimensional relaxation scheme is proposed. Based on a new discrete velocity ...
Statistical solutions are time-parameterized probability measures on spaces of integrable functions,...
In this paper we consider the development of Implicit-Explicit (IMEX) Runge-Kutta schemes for hyperb...
In this paper we consider the development of hybrid numerical methods for the solution of hyperboli...
In these notes we present some recent results on the development of hybrid methods for hyperbolic an...
In these notes we present some recent results on the development of hybrid methods for hyperbolic an...
In some recent works [G. Dimarco and L. Pareschi, Comm. Math. Sci., 1 (2006), pp. 155–177; Multiscal...
Scope of this PhD thesis is the development of efficient algorithms for the numerical simulation of ...
In this work we consider the development of a new family of hybrid numerical methods for the soluti...
A new algorithm for the numerical solution of stiff hyperbolic relaxation systems is presented. It i...
The paper deals with the construction and analysis of efficient high order finite volume shock captu...
A splitting scheme is used for numerical solution of hyperbolic systems with a stiff relaxation. Hig...
We consider the development of high-order space and time numerical methods based on implicit-explici...
Statistical solutions are time-parameterized probability measures on spaces of integrable functions,...
The present notes contains both a survey of and some novelties about mathematical problems which eme...
A novel genuinely multi-dimensional relaxation scheme is proposed. Based on a new discrete velocity ...
Statistical solutions are time-parameterized probability measures on spaces of integrable functions,...
In this paper we consider the development of Implicit-Explicit (IMEX) Runge-Kutta schemes for hyperb...