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On High Order Strong Stability Preserving Runge–Kutta and Multi Step Time Discretizations
Author(s) -
Sigal Gottlieb
Publication year - 2005
Publication title -
journal of scientific computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 80
eISSN - 1573-7691
pISSN - 0885-7474
DOI - 10.1007/s10915-004-4635-5
Subject(s) - runge–kutta methods , mathematics , discretization , monotonic function , backward euler method , nonlinear system , partial differential equation , stability (learning theory) , norm (philosophy) , euler's formula , mathematical analysis , differential equation , computer science , machine learning , physics , quantum mechanics , political science , law
Strong stability preserving (SSP) high order time discretizations were developed for solution of semi-discrete method of lines approximations of hyperbolic partial differential equations. These high order time discretization methods preserve the strong stability properties---in any norm or seminorm--of the spatial discretization coupled with first order Euler time stepping. This paper describes the development of SSP methods and the recently developed theory which connects the timestep restriction on SSP methods with the theory of monotonicity and contractivity. Optimal explicit SSP Runge---Kutta methods for nonlinear problems and for linear problems as well as implicit Runge---Kutta methods and multi step methods will be collected

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