def simulate_I_and_V():
    from wave1D_dn import solver, viz
    from math import pi
    from numpy import exp
    alpha = 0.0001

    def I(x):
        return alpha*exp(-50*(x - 0.5)**2)

    def V(x):
        # scaled V = 2*(orig V)/mean(V)
        # mean of exp(-50*(x - 0.3)**2) is 1/4
        return -8*exp(-50*(x - 0.3)**2)

    L = 1
    c = 1
    Nx = 80; dx = L/float(Nx); dt = dx/c
    #solver(I=I, V=V, f=0, U_0=None, U_L=None, L=1, dt=dt, C=1, T=4,
    #       user_action=myplotter)
    viz(I=I, V=V, f=0, c=1,
        #U_0=None, U_L=None,  # gives growing amplitude for V!=0
        U_0=0, U_L=0,
        L=L, dt=dt, C=1,
        T=4, umin=-(alpha+2), umax=(alpha+2),
        version='vectorized', animate=True)
Exemple #2
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def simulate_Gaussian_and_incoming_wave():
    from wave1D_dn import solver, viz
    from math import pi, sin
    from numpy import exp
    alpha = 0.1
    beta = 10
    gamma = 2*pi*3

    def I(x):
        return alpha*exp(-beta**2*(x - 0.5)**2)

    def U_0(t):
        return sin(gamma*t) if t <= 2*pi/gamma else 0

    L = 1
    c = 1
    Nx = 80; dx = L/float(Nx); dt = dx/c
    #solver(I=I, V=0, f=0, U_0=U_0, U_L=None, L=L, dt=dt, C=1, T=4,
    #       user_action=myplotter)
    viz(I=I, V=0, f=0, c=c, U_0=U_0, U_L=None, L=L, dt=dt, C=1,
        T=4, umin=-(alpha+1), umax=(alpha+1),
        version='vectorized', animate=True)
Exemple #3
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def simulate_Gaussian_and_incoming_wave():
    from wave1D_dn import solver, viz
    from math import pi, sin
    from numpy import exp

    alpha = 0.1
    beta = 10
    gamma = 2 * pi * 3

    def I(x):
        return alpha * exp(-beta ** 2 * (x - 0.5) ** 2)

    def U_0(t):
        return sin(gamma * t) if t <= 2 * pi / gamma else 0

    L = 1
    c = 1
    Nx = 80
    dx = L / float(Nx)
    dt = dx / c
    # solver(I=I, V=0, f=0, U_0=U_0, U_L=None, L=L, dt=dt, C=1, T=4,
    #       user_action=myplotter)
    viz(
        I=I,
        V=0,
        f=0,
        c=c,
        U_0=U_0,
        U_L=None,
        L=L,
        dt=dt,
        C=1,
        T=4,
        umin=-(alpha + 1),
        umax=(alpha + 1),
        version="vectorized",
        animate=True,
    )
def simulate_I_and_V():
    from wave1D_dn import solver, viz
    from math import pi
    from numpy import exp
    alpha = 0.0001

    def I(x):
        return alpha * exp(-50 * (x - 0.5)**2)

    def V(x):
        # scaled V = 2*(orig V)/mean(V)
        # mean of exp(-50*(x - 0.3)**2) is 1/4
        return -8 * exp(-50 * (x - 0.3)**2)

    L = 1
    c = 1
    Nx = 80
    dx = L / float(Nx)
    dt = dx / c
    #solver(I=I, V=V, f=0, U_0=None, U_L=None, L=1, dt=dt, C=1, T=4,
    #       user_action=myplotter)
    viz(
        I=I,
        V=V,
        f=0,
        c=1,
        #U_0=None, U_L=None,  # gives growing amplitude for V!=0
        U_0=0,
        U_L=0,
        L=L,
        dt=dt,
        C=1,
        T=4,
        umin=-(alpha + 2),
        umax=(alpha + 2),
        version='vectorized',
        animate=True)