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Yael-II
2025-01-02 22:48:54 +01:00
commit 34371f3532
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import numpy as np
def euler(x0, y0, h, n, func): # FIXME cannot be used with vectors
"""
Euler method adapted for state vector [[x, y], [u, v]]
:param x0: initial time value
:param y0: initial state vector [[x, y], [u, v]]
:param h: step size (time step)
:param n: number of steps
:param func: RHS of differential equation
:returns: x array, solution array
"""
x_values = np.zeros(n)
y_values = np.zeros((n, 2, 2)) # to accommodate the state vector
for i in range(n):
dydt = func(x0, y0)
y0 = y0 + h * dydt
x0 = x0 + h
x_values[i] = x0
y_values[i, :, :] = y0
return x_values, y_values
# Updated RK2 integrator
def rk2(x0, y0, h, n, func): # FIXME cannot be used with vectors
"""
RK2 method adapted for state vector [[x, y], [u, v]]
:param x0: initial time value
:param y0: initial state vector [[x, y], [u, v]]
:param h: step size (time step)
:param n: number of steps
:param func: RHS of differential equation
:returns: x array, solution array
"""
x_values = np.zeros(n)
y_values = np.zeros((n, 2, 2)) # to accommodate the state vector
for i in range(n):
k1 = func(x0, y0)
k2 = func(x0 + h / 2., y0 + h / 2. * k1)
y0 = y0 + h * (k1 / 2. + k2 / 2.)
x0 = x0 + h
x_values[i] = x0
y_values[i, :, :] = y0
return x_values, y_values
def rk4(t0: float,
W0: np.ndarray,
h: float,
n: int,
func):
"""
RK4 method adapted for state vector [[x, y], [u, v]]
:param x0: initial time value
:param y0: initial state vector [[x, y], [u, v]]
:param h: step size (time step)
:param n: number of steps
:param func: RHS of differential equation
:returns: x array, solution array
"""
time = np.zeros(n)
W = np.zeros((n,) + np.shape(W0))
# to accommodate the state vector
t = t0
w = W0
for i in range(n):
k1 = func(t, w)
k2 = func(t + h / 2., w + h / 2. * k1)
k3 = func(t + h / 2., w + h / 2. * k2)
k4 = func(t + h, w + h * k3)
w = w + h * (k1 / 6. + k2 / 3. + k3 / 3. + k4 / 6.)
t = t + h
time[i] = t
W[i] = w
return t, W
def integrator_type(x0, y0, h, n, func, int_type):
return int_type(x0, y0, h, n, func)