Deng Ding
According to our database1,
Deng Ding
authored at least 16 papers
between 2008 and 2025.
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Bibliography
2025
Knowl. Based Syst., 2025
Diffusion model conditioning on Gaussian mixture model and negative Gaussian mixture gradient.
Neurocomputing, 2025
An effective one-iteration learning algorithm based on Gaussian mixture expansion for densities.
Commun. Nonlinear Sci. Numer. Simul., 2025
2024
A linearized fourth-order compact ADI method for phytoplankton-zooplankton model arising in marine ecosystem.
Comput. Appl. Math., February, 2024
2023
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network.
CoRR, 2023
2022
A linearized compact ADI numerical method for the two-dimensional nonlinear delayed Schrödinger equation.
Appl. Math. Comput., 2022
2021
An implicit-explicit preconditioned direct method for pricing options under regime-switching tempered fractional partial differential models.
Numer. Algorithms, 2021
2020
A fast preconditioned iterative method for two-dimensional options pricing under fractional differential models.
Comput. Math. Appl., 2020
2018
A Fast Preconditioned Penalty Method for American Options Pricing Under Regime-Switching Tempered Fractional Diffusion Models.
J. Sci. Comput., 2018
Proceedings of the 5th International Conference on Dependable Systems and Their Applications, 2018
2017
Comput. Stat., 2017
A fast preconditioned policy iteration method for solving the tempered fractional HJB equation governing American options valuation.
Comput. Math. Appl., 2017
2015
Circulant preconditioning technique for barrier options pricing under fractional diffusion models.
Int. J. Comput. Math., 2015
Appl. Math. Comput., 2015
2013
An efficient pricing method for rainbow options based on two-dimensional modified sine-sine series expansions.
Int. J. Comput. Math., 2013
2008
A splitting-step algorithm for reflected stochastic differential equations in R<sub>+</sub><sup>1</sup>.
Comput. Math. Appl., 2008