import numpy as np
import matplotlib.pyplot as plt

#Set values
t=0
a=np.pi**(-2)
g0=0
g1=1

#Edit for given function
def f():
    return 0
def u0(x):
    return np.sin(2*np.pi*x)+(x)
#Setting up the problem
for m in [3,4,9]:
    h=1/(m+1)
    C=1
    delta_t=1/(4**2)
    UN=np.empty(m)
    lam=(a*delta_t)/(h**2)
    u=(lam*(-1)) *np.ones(m-1)
    d=(1+lam*(2))*np.ones(m)
    l=(lam*(-1)) *np.ones(m-1)
    little_f=np.empty(m)
    F=np.empty(m)
    UN1=np.empty(m)
    x=np.arange(0,(1+h),h)

    #Creating F
    little_f[0]=delta_t*f() + lam* (g0)
    little_f[m-1]=delta_t*f() + lam* (g1)
    UN[0]=u0(x[1])
    UN[m-1]=u0(x[m])
    for i in range(1,m-1):
        little_f[i]=delta_t*f()
        UN[i]=u0(x[i+1])



    for t in np.arange(0,(1+delta_t),delta_t):
        F=UN + little_f
        u=(lam*(-1)) *np.ones(m-1)
        d=(1+lam*(2))*np.ones(m)
        l=(lam*(-1)) *np.ones(m-1)
        #print(t)
        #Solving the tridiagonal problem
        #Elimination stage
        for i in range(1,(m)):
            d[i] = d[i] - u[i-1] *l[i-1] / d[i-1]
            F[i] = F[i] - F[i-1] *l[i-1] / d[i-1]

        #backsolve stage
        UN1[(m-1)]= F[(m-1)]/d[(m-1)]
        for i in range((m-2),-1,-1):
            UN1[i] = (F[i] - u[i] * UN1[i+1])/d[i]

        #Reset for next iteration
        UN=UN1

    #Insert boundary values
    UN1=np.insert(UN1,0,g0)
    UN1=np.insert(UN1,m+1,g1)

    #Print answer
    #print(UN1)
    #Plotting
    x_approx=np.linspace(0,1,num=m+2)
    plt.plot(x_approx,UN1,'o-',label=f'{h}',linewidth=0.9)

#Calculate true values and plot
x_true=np.linspace(0,1)
t_true=1
y_true=np.exp(-4*t_true) * np.sin(2*np.pi*x_true) + (x_true)

plt.plot(x_true,y_true,'b',label='True')
plt.legend(loc=0)    
plt.title(f't={t}')
plt.xlabel('x')
plt.ylabel('u(x)')
plt.show()
import numpy as np
import matplotlib.pyplot as plt

#Set values
t=0
a=np.pi**(-2)
g0=0
g1=1

#Edit for given function
def f():
    return 0
def u0(x):
    return np.sin(2*np.pi*x)+(x)
#Setting up the problem
for m in [3,4,9]:
    h=1/(m+1)
    C=1
    delta_t=1/(4**2)
    UN=np.empty(m)
    lam=(a*delta_t)/(h**2)
    u=(lam*(-1)) *np.ones(m-1)
    d=(1+lam*(2))*np.ones(m)
    l=(lam*(-1)) *np.ones(m-1)
    little_f=np.empty(m)
    F=np.empty(m)
    UN1=np.empty(m)
    x=np.arange(0,(1+h),h)

    #Creating F
    little_f[0]=delta_t*f() + lam* (g0)
    little_f[m-1]=delta_t*f() + lam* (g1)
    UN[0]=u0(x[1])
    UN[m-1]=u0(x[m])
    for i in range(1,m-1):
        little_f[i]=delta_t*f()
        UN[i]=u0(x[i+1])



    for t in np.arange(0,(1+delta_t),delta_t):
        F=UN + little_f
        u=(lam*(-1)) *np.ones(m-1)
        d=(1+lam*(2))*np.ones(m)
        l=(lam*(-1)) *np.ones(m-1)
        #print(t)
        #Solving the tridiagonal problem
        #Elimination stage
        for i in range(1,(m)):
            d[i] = d[i] - u[i-1] *l[i-1] / d[i-1]
            F[i] = F[i] - F[i-1] *l[i-1] / d[i-1]

        #backsolve stage
        UN1[(m-1)]= F[(m-1)]/d[(m-1)]
        for i in range((m-2),-1,-1):
            UN1[i] = (F[i] - u[i] * UN1[i+1])/d[i]

        #Reset for next iteration
        UN=UN1

    #Insert boundary values
    UN1=np.insert(UN1,0,g0)
    UN1=np.insert(UN1,m+1,g1)

    #Print answer
    #print(UN1)
    #Plotting
    x_approx=np.linspace(0,1,num=m+2)
    plt.plot(x_approx,UN1,'o-',label=f'{h}',linewidth=0.9)

#Calculate true values and plot
x_true=np.linspace(0,1)
t_true=1
y_true=np.exp(-4*t_true) * np.sin(2*np.pi*x_true) + (x_true)

plt.plot(x_true,y_true,'b',label='True')
plt.legend(loc=0)    
plt.title(f't={t}')
plt.xlabel('x')
plt.ylabel('u(x)')
plt.show()
#Set values #Edit for given function #Setting up the problem #Creating F #print(t) #Solving the tridiagonal problem #Elimination stage #backsolve stage #Reset for next iteration #Insert boundary values #Print answer #print(UN1) #Plotting #Calculate true values and plot