Litcius/Paper detail

Explicit stabilized multirate method for stiff differential equations

Assyr Abdulle, Marcus J. Grote, Giacomo Rosilho de Souza

2022Mathematics of Computation11 citationsDOIOpen Access PDF

Abstract

Stabilized Runge–Kutta methods are especially efficient for the numerical solution of large systems of stiff nonlinear differential equations because they are fully explicit. For semi-discrete parabolic problems, for instance, stabilized Runge–Kutta methods overcome the stringent stability condition of standard methods without sacrificing explicitness. However, when stiffness is only induced by a few components, as in the presence of spatially local mesh refinement, their efficiency deteriorates. To remove the crippling effect of a few severely stiff components on the entire system of differential equations, we derive a modified equation, whose stiffness solely depends on the remaining mildly stiff components. By applying stabilized Runge–Kutta methods to this modified equation, we then devise an explicit multirate Runge–Kutta–Chebyshev (mRKC) method whose stability conditions are independent of a few severely stiff components. Stability of the mRKC method is proved for a model problem, whereas its efficiency and usefulness are demonstrated through a series of numerical experiments.

Topics & Concepts

Runge–Kutta methodsMathematicsStiff equationL-stabilityBackward differentiation formulaNonlinear systemStability (learning theory)Differential equationApplied mathematicsStiffnessMathematical analysisNumerical analysisNumerical methods for ordinary differential equationsOrdinary differential equationDifferential algebraic equationComputer scienceStructural engineeringPhysicsMachine learningQuantum mechanicsEngineeringNumerical methods for differential equationsAdvanced Numerical Methods in Computational MathematicsDifferential Equations and Numerical Methods
Explicit stabilized multirate method for stiff differential equations | Litcius