A strong stability preserving analysis for explicit multistage two-derivative time-stepping schemes based on Taylor series conditions
DOI10.1007/s42967-019-0001-3zbMath1449.65223arXiv1804.10526OpenAlexW2962960621WikidataQ128126004 ScholiaQ128126004MaRDI QIDQ2289848
Zachary J. Grant, David C. Seal, Sigal Gottlieb
Publication date: 27 January 2020
Published in: Communications on Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.10526
Numerical optimization and variational techniques (65K10) Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs (65M12) Stability and convergence of numerical methods for ordinary differential equations (65L20) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Finite difference methods for boundary value problems involving PDEs (65N06) Method of lines for initial value and initial-boundary value problems involving PDEs (65M20)
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- Explicit strong stability preserving multistage two-derivative time-stepping schemes
- ADER-WENO finite volume schemes with space-time adaptive mesh refinement
- A sub-cell WENO reconstruction method for spatial derivatives in the ADER scheme
- High-order multiderivative time integrators for hyperbolic conservation laws
- Characterizing strong stability preserving additive Runge-Kutta methods
- A wetting and drying treatment for the Runge-Kutta discontinuous Galerkin solution to the shallow water equations
- Runge-Kutta type integration formulas including the evaluation of the second derivative. I
- On explicit two-derivative Runge-Kutta methods
- On maximum-principle-satisfying high order schemes for scalar conservation laws
- Optimal implicit strong stability preserving Runge-Kutta methods
- High resolution schemes for hyperbolic conservation laws
- Efficient implementation of essentially nonoscillatory shock-capturing schemes
- A family of embedded Runge-Kutta formulae
- Contractivity of Runge-Kutta methods
- Weighted essentially non-oscillatory schemes
- High order one-step monotonicity-preserving schemes for unsteady compressible flow calculations.
- Two barriers on strong-stability-preserving time discretization methods
- An efficient and accurate two-stage fourth-order gas-kinetic scheme for the Euler and Navier-Stokes equations
- A Hermite WENO reconstruction for fourth order temporal accurate schemes based on the GRP solver for hyperbolic conservation laws
- Two-stage explicit Runge-Kutta type methods using derivatives
- On strong stability preserving time discretization methods
- On one-step methods utilizing the second derivative
- On explicit one-step methods utilizing the second derivative
- Efficient implementation of weighted ENO schemes
- New high-resolution central schemes for nonlinear conservation laws and convection-diffusion equations
- Reducibility and contractivity of Runge-Kutta methods revisited
- Two-derivative Runge-Kutta methods for PDEs using a novel discretization approach
- The discontinuous Galerkin method with Lax--Wendroff type time discretizations
- Runge Kutta processes with multiple nodes
- On Turan type implicit Runge-Kutta methods
- Derivative Riemann solvers for systems of conservation laws and ader methods
- A Two-Stage Fourth Order Time-Accurate Discretization for Lax--Wendroff Type Flow Solvers I. Hyperbolic Conservation Laws
- Explicit strong stability preserving multistep Runge–Kutta methods
- Strong Stability Preserving Two-step Runge–Kutta Methods
- High Resolution Schemes and the Entropy Condition
- High Resolution Schemes Using Flux Limiters for Hyperbolic Conservation Laws
- Total-Variation-Diminishing Time Discretizations
- TVB Runge-Kutta Local Projection Discontinuous Galerkin Finite Element Method for Conservation Laws II: General Framework
- Explicit Runge–Kutta Methods with Estimates of the Local Truncation Error
- Solution of the generalized Riemann problem for advection–reaction equations
- Stepsize Restrictions for the Total-Variation-Diminishing Property in General Runge--Kutta Methods
- A New Class of Optimal High-Order Strong-Stability-Preserving Time Discretization Methods
- An extension and analysis of the Shu-Osher representation of Runge-Kutta methods
- Highly Efficient Strong Stability-Preserving Runge–Kutta Methods with Low-Storage Implementations
- Quadrature Formulas with Simple Gaussian Nodes and Multiple Fixed Nodes
- Representations of Runge--Kutta Methods and Strong Stability Preserving Methods
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