Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation regularized 
by the Range-Separated Canonical Tensor Format

Kweyu, Cleophas M.; Feng, Lihong; Stein, Matthias; Benner, Peter

doi:10.1515/ijnsns-2021-0103

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Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation regularized by the Range-Separated Canonical Tensor Format

MPS-Authors

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Kweyu, Cleophas M.
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Moi University, Kenya;

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Feng, Lihong
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Stein, Matthias
Molecular Simulations and Design, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Benner, Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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2103.00245.pdf
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kweyu_3289390.pdf
(出版社版), 2MB

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引用

Kweyu, C. M., Feng, L., Stein, M., & Benner, P. (2023). Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation regularized by the Range-Separated Canonical Tensor Format. International Journal of Nonlinear Sciences and Numerical Simulation, 24(8), 2915-2935. doi:10.1515/ijnsns-2021-0103.

引用: https://hdl.handle.net/21.11116/0000-0008-1614-9

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