Design and data structure of fully adaptive, multigrid, finite-element software
ACM Transactions on Mathematical Software (TOMS)
Algebraic multigrid theory: The symmetric case
Applied Mathematics and Computation - Second Copper Mountain conference on Multigrid methods Copper Mountain, Colorado
A fast algorithm for particle simulations
Journal of Computational Physics
Multigrid solution of the Poisson-Boltzmann equation
Journal of Computational Chemistry
Multilevel methods for the Poisson-Boltzmann equation
Multilevel methods for the Poisson-Boltzmann equation
A convergent adaptive algorithm for Poisson's equation
SIAM Journal on Numerical Analysis
A multigrid tutorial (2nd ed.)
A multigrid tutorial (2nd ed.)
Multigrid
Algebraic Multigrid on Unstructured Meshes
Algebraic Multigrid on Unstructured Meshes
Algebraic Multigrid by Smoothed Aggregation for Second and Fourth Order Elliptic Problems
Algebraic Multigrid by Smoothed Aggregation for Second and Fourth Order Elliptic Problems
SIAM Journal on Scientific Computing
Multilevel Solvers for Unstructured Surface Meshes
SIAM Journal on Scientific Computing
Optimality of Multilevel Preconditioners for Local Mesh Refinement in Three Dimensions
SIAM Journal on Numerical Analysis
Why Multigrid Methods Are So Efficient
Computing in Science and Engineering
Multilevel summation for the fast evaluation of forces for the simulation of biomolecules
Multilevel summation for the fast evaluation of forces for the simulation of biomolecules
The Finite Element Approximation of the Nonlinear Poisson-Boltzmann Equation
SIAM Journal on Numerical Analysis
High-fidelity geometric modeling for biomedical applications
Finite Elements in Analysis and Design
Numerical methods for computing the free energy of coarse-grained molecular systems
Numerical methods for computing the free energy of coarse-grained molecular systems
Finite Element Approximation to a Finite-Size Modified Poisson-Boltzmann Equation
Journal of Scientific Computing
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In this article, we develop goal-oriented error indicators to drive adaptive refinement algorithms for the Poisson-Boltzmann equation. Empirical results for the solvation free energy linear functional demonstrate that goal-oriented indicators are not sufficient on their own to lead to a superior refinement algorithm. To remedy this, we propose a problem-specific marking strategy using the solvation free energy computed from the solution of the linear regularized Poisson-Boltzmann equation. The convergence of the solvation free energy using this marking strategy, combined with goal-oriented refinement, compares favorably to adaptive methods using an energy-based error indicator. Due to the use of adaptive mesh refinement, it is critical to use multilevel preconditioning in order to maintain optimal computational complexity. We use variants of the classical multigrid method, which can be viewed as generalizations of the hierarchical basis multigrid and Bramble-Pasciak-Xu (BPX) preconditioners.