Galerkin and Runge-Kutta methods: unified formulation, a posteriori error estimates and nodal superconvergence
DOI10.1007/s00211-011-0363-6zbMath1228.65125OpenAlexW1988040707MaRDI QIDQ634613
Ricardo H. Nochetto, Georgios D. Akrivis, Charalambos G. Makridakis
Publication date: 16 August 2011
Published in: Numerische Mathematik (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00211-011-0363-6
Hilbert spacesemidiscretizationRunge-Kutta methodsa posteriori error estimateslinear differential equationGalerkin methodstime discretization of parabolic equations
Initial-boundary value problems for second-order parabolic equations (35K20) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70) Error bounds for initial value and initial-boundary value problems involving PDEs (65M15) Finite element, Rayleigh-Ritz, Galerkin and collocation methods for ordinary differential equations (65L60) Error bounds for numerical methods for ordinary differential equations (65L70) Method of lines for initial value and initial-boundary value problems involving PDEs (65M20) Linear differential equations in abstract spaces (34G10) Mesh generation, refinement, and adaptive methods for the numerical solution of initial value and initial-boundary value problems involving PDEs (65M50) Numerical solutions to abstract evolution equations (65J08)
Related Items (max. 100)
Uses Software
Cites Work
- Unnamed Item
- Optimal order a posteriori error estimates for a class of Runge-Kutta and Galerkin methods
- Perturbed collocation and Runge-Kutta methods
- A posteriori error analysis for higher order dissipative methods for evolution problems
- Pointwise a posteriori error estimates for monotone semi-linear equations
- Solving Ordinary Differential Equations I
- Adaptive Finite Element Methods for Parabolic Problems I: A Linear Model Problem
- A posteriori error estimates for the Crank–Nicolson method for parabolic equations
- An Anisotropic Error Estimator for the Crank–Nicolson Method: Application to a Parabolic Problem
- Continuous Finite Elements in Space and Time for the Heat Equation
- Single step methods for inhomogeneous linear differential equations in Banach space
- Adaptive Finite Element Methods for Parabolic Problems VI: Analytic Semigroups
- Runge-Kutta Methods for Parabolic Equations and Convolution Quadrature
- Linearly implicit methods for nonlinear parabolic equations
- Estimating the error of numerical solutions of systems of reaction-diffusion equations
- Global error control for the continuous Galerkin finite element method for ordinary differential equations
- Runge-Kutta Approximation of Quasi-Linear Parabolic Equations
- Solving Ordinary Differential Equations II
- Galerkin time-stepping methods for nonlinear parabolic equations
- Galerkin Finite Element Methods for Parabolic Problems
This page was built for publication: Galerkin and Runge-Kutta methods: unified formulation, a posteriori error estimates and nodal superconvergence