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Convergence analysis for a nonlinear system of parabolic variational inequalities
Convergence analysis for a nonlinear system of parabolic variational inequalities
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Convergence analysis for a nonlinear system of parabolic variational inequalities

Alnashri, Yahya

Journal of inequalities and applications, 2022-01, Vol.2022 (1), p.1-18, Article 16 [Periódico revisado por pares]

Cham: Springer International Publishing

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Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters
Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters
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Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters

Martin, Matthieu ; Krumscheid, Sebastian ; Nobile, Fabio

ESAIM. Mathematical modelling and numerical analysis, 2021-07, Vol.55 (4), p.1599-1633 [Periódico revisado por pares]

Les Ulis: EDP Sciences

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Simulation of the phase field Cahn–Hilliard and tumor growth models via a numerical scheme: Element-free Galerkin method
Simulation of the phase field Cahn–Hilliard and tumor growth models via a numerical scheme: Element-free Galerkin method
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Simulation of the phase field Cahn–Hilliard and tumor growth models via a numerical scheme: Element-free Galerkin method

Mohammadi, Vahid ; Dehghan, Mehdi

Computer methods in applied mechanics and engineering, 2019-03, Vol.345, p.919-950 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
An Unconditionally Energy Stable and Positive Upwind DG Scheme for the Keller–Segel Model
An Unconditionally Energy Stable and Positive Upwind DG Scheme for the Keller–Segel Model
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An Unconditionally Energy Stable and Positive Upwind DG Scheme for the Keller–Segel Model

Acosta-Soba, Daniel ; Guillén-González, Francisco ; Rodríguez-Galván, J. Rafael

Journal of scientific computing, 2023-10, Vol.97 (1), p.18, Article 18 [Periódico revisado por pares]

New York: Springer US

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5
A Regularized Newton Method for Computing Ground States of Bose–Einstein Condensates
A Regularized Newton Method for Computing Ground States of Bose–Einstein Condensates
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A Regularized Newton Method for Computing Ground States of Bose–Einstein Condensates

Wu, Xinming ; Wen, Zaiwen ; Bao, Weizhu

Journal of scientific computing, 2017-10, Vol.73 (1), p.303-329 [Periódico revisado por pares]

New York: Springer US

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6
Unconditionally Energy Stable DG Schemes for the Swift–Hohenberg Equation
Unconditionally Energy Stable DG Schemes for the Swift–Hohenberg Equation
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Unconditionally Energy Stable DG Schemes for the Swift–Hohenberg Equation

Liu, Hailiang ; Yin, Peimeng

Journal of scientific computing, 2019-11, Vol.81 (2), p.789-819 [Periódico revisado por pares]

New York: Springer US

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7
A proximal-gradient algorithm for crystal surface evolution
A proximal-gradient algorithm for crystal surface evolution
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A proximal-gradient algorithm for crystal surface evolution

Craig, Katy ; Liu, Jian-Guo ; Lu, Jianfeng ; Marzuola, Jeremy L. ; Wang, Li

Numerische Mathematik, 2022-11, Vol.152 (3), p.631-662 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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8
Extension of the boundary integral method for different boundary conditions in steady-state Stokes flows
Extension of the boundary integral method for different boundary conditions in steady-state Stokes flows
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Extension of the boundary integral method for different boundary conditions in steady-state Stokes flows

Das, Sandipan Kumar

International journal of numerical methods for heat & fluid flow, 2023-01, Vol.33 (1), p.1-13 [Periódico revisado por pares]

Bradford: Emerald Publishing Limited

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9
A sine transform based preconditioned MINRES method for all-at-once systems from constant and variable-coefficient evolutionary PDEs
A sine transform based preconditioned MINRES method for all-at-once systems from constant and variable-coefficient evolutionary PDEs
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A sine transform based preconditioned MINRES method for all-at-once systems from constant and variable-coefficient evolutionary PDEs

Hon, Sean ; Fung, Po Yin ; Dong, Jiamei ; Serra-Capizzano, Stefano

Numerical algorithms, 2024-04, Vol.95 (4), p.1769-1799 [Periódico revisado por pares]

New York: Springer US

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10
BDDC Preconditioners for Divergence Free Virtual Element Discretizations of the Stokes Equations
BDDC Preconditioners for Divergence Free Virtual Element Discretizations of the Stokes Equations
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BDDC Preconditioners for Divergence Free Virtual Element Discretizations of the Stokes Equations

Bevilacqua, Tommaso ; Scacchi, Simone

Journal of scientific computing, 2022-08, Vol.92 (2), p.63, Article 63 [Periódico revisado por pares]

New York: Springer US

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