Works matching IS 0749159X AND DT 2022 AND VI 38 AND IP 6
Results: 28
Analysis of sparse recovery for Legendre expansions using envelope bound.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2163, doi. 10.1002/num.22877
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- Article
Issue Information.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1571, doi. 10.1002/num.22919
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- Article
Special issue dedicated to Professor Max Gunzburger on the occasion of his 75th birthday.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1576, doi. 10.1002/num.22908
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Optimal control problem of various epidemic models with uncertainty based on deep reinforcement learning.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2142, doi. 10.1002/num.22872
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- Article
Conservative unconditionally stable decoupled numerical schemes for the Cahn–Hilliard–Navier–Stokes–Darcy–Boussinesq system.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1823, doi. 10.1002/num.22841
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A posteriori element residual error estimations for the cell functional minimization scheme.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2123, doi. 10.1002/num.22871
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Adaptive stochastic gradient descent for optimal control of parabolic equations with random parameters.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2104, doi. 10.1002/num.22869
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A fractional model for anomalous diffusion with increased variability: Analysis, algorithms and applications to interface problems.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2084, doi. 10.1002/num.22865
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Optimal convergence rates for Galerkin approximation of operator Riccati equations.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2045, doi. 10.1002/num.22863
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Development of data‐driven exponential integrators with application to modeling of delay photocurrents.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 2012, doi. 10.1002/num.22857
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A non‐intrusive domain‐decomposition model reduction method for linear steady‐state partial differential equations with random coefficients.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1993, doi. 10.1002/num.22856
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Asymptotically compatible approximations of linear nonlocal conservation laws with variable horizon.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1948, doi. 10.1002/num.22849
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Higher order weak Galerkin methods for the Navier–Stokes equations with large Reynolds number.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1967, doi. 10.1002/num.22852
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- Article
Numerical approximation of solutions of the equations of quasistatic electroporoelasticity.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1929, doi. 10.1002/num.22848
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Time filters and spurious acoustics in artificial compression methods.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1908, doi. 10.1002/num.22847
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A second order ensemble method with different subdomain time steps for simulating coupled surface‐groundwater flows.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1880, doi. 10.1002/num.22846
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Cluster‐based gradient method for stochastic optimal control problems with elliptic partial differential equation constraint.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1861, doi. 10.1002/num.22844
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Pattern selection in the Schnakenberg equations: From normal to anomalous diffusion.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1843, doi. 10.1002/num.22842
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A multigrid local smoother approach for a domain decomposition solver over non‐matching grids.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1794, doi. 10.1002/num.22835
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Efficient quadrature rules for finite element discretizations of nonlocal equations.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1767, doi. 10.1002/num.22833
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A general framework for substructuring‐based domain decomposition methods for models having nonlocal interactions.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1738, doi. 10.1002/num.22832
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Analysis of the variable step method of Dahlquist, Liniger and Nevanlinna for fluid flow.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1713, doi. 10.1002/num.22831
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Decoupled modified characteristic finite element method for the time‐dependent Navier–Stokes/Biot problem.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1684, doi. 10.1002/num.22830
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Second‐order, fully decoupled, linearized, and unconditionally stable scalar auxiliary variable schemes for Cahn–Hilliard–Darcy system.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1658, doi. 10.1002/num.22829
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Unconditionally stable exponential time differencing schemes for the mass‐conserving Allen–Cahn equation with nonlocal and local effects.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1636, doi. 10.1002/num.22827
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Collocation method for one dimensional nonlocal diffusion equations.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1618, doi. 10.1002/num.22826
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Using radial basis function‐generated quadrature rules to solve nonlocal continuum models.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1595, doi. 10.1002/num.22825
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Error estimate of a finite element method for an optimal control problem with corner singularity using the stress intensity factor.
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- Numerical Methods for Partial Differential Equations, 2022, v. 38, n. 6, p. 1578, doi. 10.1002/num.22824
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