Source code for pathsim.solvers.ssprk22

########################################################################################
##
##               EXPLICIT STRONG STABILITY PRESERVING RUNGE-KUTTA INTEGRATOR
##                                (solvers/ssprk22.py)
##
##                                 Milan Rother 2024
##
########################################################################################

# IMPORTS ==============================================================================

from ._rungekutta import ExplicitRungeKutta


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

[docs] class SSPRK22(ExplicitRungeKutta): """Two-stage, 2nd order, Strong Stability Preserving (SSP) explicit Runge-Kutta method. Also known as the explicit midpoint method or Heun's method. SSP methods are designed to preserve stability properties (like total variation diminishing - TVD) when solving hyperbolic PDEs, but are also effective general-purpose low-order explicit methods. Characteristics: * Order: 2 * Stages: 2 * Explicit (SSP) * Fixed timestep only * Good balance of simplicity, cost, and stability (for an explicit method). """ def __init__(self, *solver_args, **solver_kwargs): super().__init__(*solver_args, **solver_kwargs) #number of stages in RK scheme self.s = 2 #order of scheme self.n = 2 #intermediate evaluation times self.eval_stages = [0.0, 1.0] #butcher table self.BT = {0:[1.0], 1:[1/2, 1/2]}
[docs] def interpolate(self, r, dt): k1, k2 = self.K[0], self.K[1] b1, b2 = r*(2-r)/2, r**2/2 return self.x_0 + dt*(b1 * k1 + b2 * k2)