Juan Carlos Jimenez
Orcid: 0000-0001-6014-0505Affiliations:
- Instituto de Cibernética, Matemática y Física, La Habana, Cuba
According to our database1,
Juan Carlos Jimenez
authored at least 17 papers
between 2002 and 2024.
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Online presence:
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on orcid.org
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Bibliography
2024
Jacobian-free Locally Linearized Runge-Kutta method of Dormand and Prince for large systems of differential equations.
J. Comput. Appl. Math., 2024
2023
Modeling the interaction between donor-derived regulatory T cells and effector T cells early after allogeneic hematopoietic stem cell transplantation.
Biosyst., May, 2023
J. Comput. Appl. Math., 2023
2021
Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes.
Math. Comput. Simul., 2021
Locally Linearized Runge-Kutta method of Dormand and Prince for large systems of initial value problems.
J. Comput. Phys., 2021
2020
J. Comput. Appl. Math., 2020
IMA J. Math. Control. Inf., 2020
Weak variable step-size Euler schemes for stochastic differential equations based on controlling conditional moments.
CoRR, 2020
Appl. Math. Comput., 2020
2019
Approximate linear minimum variance filters for continuous-discrete state space models: convergence and practical adaptive algorithms.
IMA J. Math. Control. Inf., 2019
2017
A weak Local Linearization scheme for stochastic differential equations with multiplicative noise.
J. Comput. Appl. Math., 2017
2013
Local Linearization - Runge-Kutta methods: A class of A-stable explicit integrators for dynamical systems.
Math. Comput. Model., 2013
2007
J. Comput. Phys., 2007
A higher order local linearization method for solving ordinary differential equations.
Appl. Math. Comput., 2007
2006
Local Linearization-Runge Kutta (LLRK) Methods for Solving Ordinary Differential Equations.
Proceedings of the Computational Science, 2006
2002
A simple algebraic expression to evaluate the local linearization schemes for stochastic differential equations.
Appl. Math. Lett., 2002
Modeling and control for foreign exchange based on a continuous time stochastic microstructure model.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002