most citedAn efficient implementation of parallel simulated annealing algorithm in GPUs

77 citations · 178 across the 11 of their papers we have counts for

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11 papers

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.PR202411 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.AP202412 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.NA20247 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…

cs.DC202477 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.NA202450 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…