most citedAn efficient implementation of parallel simulated annealing algorithm in GPUs

77 citations · 193 across the 13 of their papers we have counts for

collaborators

13 papers

math.NA2024

Boundary treatment for high-order IMEX Runge-Kutta local discontinuous Galerkin schemes for multidimensional nonlinear parabolic PDEs

V. González-Tabernero, J. G. López-Salas, M. J. Castro-Díaz +1

In this article, we propose novel boundary treatment algorithms to avoid order reduction when implicit-explicit Runge-Kutta time discretization is used for solving convection-diffu…

math.NA2024

A second order finite volume IMEX Runge-Kutta scheme for two dimensional PDEs in finance

J. G. López-Salas, M. Suárez-Taboada, M. J. Castro +2

In this article we present a novel and general methodology for building second order finite volume implicit-explicit (IMEX) numerical schemes for solving two dimensional financial…

math.NA2024

IMEX-RK finite volume methods for nonlinear 1d parabolic PDEs. Application to option pricing

J. G. López-Salas, M. Suárez-Taboada, M. J. Castro +2

The goal of this paper is to develop 2nd order Implicit-Explicit Runge-Kutta (IMEX-RK) finite volume (FV) schemes for solving 1d parabolic PDEs for option pricing, with possible no…

q-fin.PR2024

PDEs for pricing interest rate derivatives under the new generalized Forward Market Model (FMM)

J. G. López-Salas, S. Pérez-Rodríguez, C. Vázquez

In this article we derive partial differential equations (PDEs) for pricing interest rate derivatives under the generalized Forward Market Model (FMM) recently presented by A. Lyas…

q-fin.PR2024★ 8 cited

Numerical approximations of McKean Anticipative Backward Stochastic Differential Equations arising in Initial Margin requirements

A. Agarwal, S. De Marco, E. Gobet +3

We introduce a new class of anticipative backward stochastic differential equations with a dependence of McKean type on the law of the solution, that we name MKABSDE. We provide ex…

q-fin.PR2024★ 11 cited

SABR/LIBOR market models: pricing and calibration for some interest rate derivatives

A. M. Ferreiro, J. A. García, J. G. López-Salas +1

In order to overcome the drawbacks of assuming deterministic volatility coefficients in the standard LIBOR market models to capture volatility smiles and skews in real markets, sev…

math.AP2024★ 12 cited

PDE formulation of some SABR/LIBOR market models and its numerical solution with a sparse grid combination technique

J. G. López-Salas, C. Vázquez

SABR models have been used to incorporate stochastic volatility to LIBOR market models (LMM) in order to describe interest rate dynamics and price interest rate derivatives. From t…

math.NA2024★ 7 cited

AMFR-W numerical methods for solving high dimensional SABR/LIBOR PDE models

J. G. López-Salas, S. Pérez-Rodríguez, C. Vázquez

In this work we mainly develop a new numerical methodology to solve a PDE model recently proposed in the literature for pricing interest rate derivatives. More precisely, we use hi…

physics.geo-ph2024★ 7 cited

Global optimization for data assimilation in landslide tsunamis models

A. M. Ferreiro-Ferreiro, J. A. García-Rodríguez, J. G. López-Salas +2

The goal of this article is to make automatic data assimilation for a landslide tsunami model, given by the coupling between a non-hydrostatic multi-layer shallow-water and a Savag…

cs.DC2024★ 77 cited

An efficient implementation of parallel simulated annealing algorithm in GPUs

A. M. Ferreiro, J. A. García, J. G. López-Salas +1

In this work we propose a highly optimized version of a simulated annealing (SA) algorithm adapted to the more recently developed Graphic Processor Units (GPUs). The programming ha…

math.NA2024★ 50 cited

Stratified regression Monte-Carlo scheme for semilinear PDEs and BSDEs with large scale parallelization on GPUs

E. Gobet, J. G. López-Salas, P. Turkedjiev +1

In this paper, we design a novel algorithm based on Least-Squares Monte Carlo (LSMC) in order to approximate the solution of discrete time Backward Stochastic Differential Equation…

math.NA2024★ 7 cited

Quasi-Regression Monte-Carlo scheme for semi-linear PDEs and BSDEs with large scale parallelization on GPUs

E. Gobet, J. G. López-Salas, C. Vázquez

In this article we design a novel quasi-regression Monte Carlo algorithm in order to approximate the solution of discrete time backward stochastic differential equations (BSDEs), a…

math.OC2024★ 14 cited

Static and dynamic SABR stochastic volatility models: calibration and option pricing using GPUs

J. L. Fernández, A. M. Ferreiro, J. A. García +3

For the calibration of the parameters in static and dynamic SABR stochastic volatility models, we propose the application of the GPU technology to the Simulated Annealing global op…