Long Teng

Orcid: 0000-0002-1540-621X

Affiliations:
  • University of Wuppertal, Germany


According to our database1, Long Teng authored at least 10 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations.
CoRR, 2023

2022
Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations.
Appl. Math. Comput., 2022

2021
High-order Combined Multi-step Scheme for Solving Forward Backward Stochastic Differential Equations.
J. Sci. Comput., 2021

2020
Deep Learning algorithms for solving high dimensional nonlinear Backward Stochastic Differential Equations.
CoRR, 2020

2019
Accelerated implementation of the ADI schemes for the Heston model with stochastic correlation.
J. Comput. Sci., 2019

Multistep schemes for solving backward stochastic differential equations on GPU.
CoRR, 2019

A Multistep Scheme to Solve Backward Stochastic Differential Equations for Option Pricing on GPUs.
Proceedings of the Advances in High Performance Computing, 2019

2016
A versatile approach for stochastic correlation using hyperbolic functions.
Int. J. Comput. Math., 2016

2015
The pricing of Quanto options under dynamic correlation.
J. Comput. Appl. Math., 2015

2013
Numerical evaluation of complex logarithms in the Cox-Ingersoll-Ross model.
Int. J. Comput. Math., 2013


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