Source code for pathsim.solvers.ssprk33

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##               EXPLICIT STRONG STABILITY PRESERVING RUNGE-KUTTA INTEGRATOR
##                                (solvers/ssprk33.py)
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##                                 Milan Rother 2024
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# IMPORTS ==============================================================================

from ._rungekutta import ExplicitRungeKutta


# SOLVERS ==============================================================================

[docs] class SSPRK33(ExplicitRungeKutta): """Three-stage, 3rd order, Strong Stability Preserving (SSP) explicit Runge-Kutta method. Offers higher accuracy than SSPRK22 while maintaining the SSP property. A popular choice for problems where TVD properties are important or when a simple, stable 3rd order explicit method is needed. Characteristics: * Order: 3 * Stages: 3 * Explicit (SSP) * Fixed timestep only * Good stability properties for an explicit 3rd order method. """ def __init__(self, *solver_args, **solver_kwargs): super().__init__(*solver_args, **solver_kwargs) #number of stages in RK scheme self.s = 3 #order of scheme self.n = 3 #intermediate evaluation times self.eval_stages = [0.0, 1.0, 0.5] #butcher table self.BT = {0:[1.0], 1:[1/4, 1/4], 2:[1/6, 1/6, 2/3]}
[docs] def interpolate(self, r, dt): k1, k2, k3 = self.K[0], self.K[1], self.K[2] b1, b2, b3 = r*(2-r)**2/2, r**2*(3-2*r)/2, r**3 return self.x_0 + dt*(b1 * k1 + b2 * k2 + b3 * k3)