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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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Fulltext (public)

2103.00245.pdf
(Preprint), 1002KB

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Citation

Kweyu, C. M., Feng, L., Stein, M., & Benner, P. (2022). 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. doi:10.1515/ijnsns-2021-0103.


Cite as: http://hdl.handle.net/21.11116/0000-0008-1614-9
Abstract
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