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First-Order System Least Squares for Incompressible Resistive Magnetohydrodynamics.

, , , and . SIAM J. Sci. Comput., 32 (1): 229-248 (2010)

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First-Order System Least Squares for Incompressible Resistive Magnetohydrodynamics., , , and . SIAM J. Sci. Comput., 32 (1): 229-248 (2010)Combining Deflation and Nested Iteration for Computing Multiple Solutions of Nonlinear Variational Problems., , , and . SIAM J. Sci. Comput., (2017)An Error Estimator for Electrically Coupled Liquid Crystals., and . CoRR, (2023)Robust Preconditioners for a New Stabilized Discretization of the Poroelastic Equations., , , , , and . SIAM J. Sci. Comput., 42 (3): B761-B791 (2020)Efficiency Based Adaptive Local Refinement for First-Order System Least-Squares Formulations., , , , , and . SIAM J. Sci. Comput., 33 (1): 1-24 (2011)Nested Iteration and First-Order System Least Squares for Incompressible, Resistive Magnetohydrodynamics., , , , and . SIAM J. Sci. Comput., 32 (3): 1506-1526 (2010)Robust Solvers for Maxwell's Equations with Dissipative Boundary Conditions., , and . SIAM J. Sci. Comput., (2017)Numerical Approximation of Asymptotically Disappearing Solutions of Maxwell's Equations., , and . SIAM J. Sci. Comput., (2013)First-order system least squares and the energetic variational approach for two-phase flow., , , , and . J. Comput. Phys., 230 (17): 6647-6663 (2011)An Efficiency-Based Adaptive Refinement Scheme Applied to Incompressible, Resistive Magnetohydrodynamics., , , , , and . LSSC, volume 5910 of Lecture Notes in Computer Science, page 1-13. Springer, (2009)