# In[1]:

from __future__ import division

import numpy as np
import matplotlib.pyplot as pt


# Consider $y'=-100y+100t + 101$.
# 
# Exact solution: $y(t)=1+t+ce^{-100t}$.
# 
# Exact solution derivative: $y'(t)=1-100ce^{-100t}$.

# In[2]:

def f(t, y):
    return -100*y+100*t + 101


# In[28]:

t_end = 0.2

def plot_solution(t0, y0):
    c = (y0-1-t0)/np.exp(-100*t0)
    t_mesh = np.linspace(t0, t_end, 1000)
    solution = 1+t_mesh+c*np.exp(-100*t_mesh)
    
    pt.plot(t_mesh, solution, label="exact")
    pt.plot(t0, y0, "ko")


# In[29]:

plot_solution(t0=0, y0=1)
plot_solution(t0=0, y0=1.2)
plot_solution(t0=0, y0=-0.5)
plot_solution(t0=0.05, y0=-0.5)


# Out[29]:

# image file:

# In[30]:

def integrate_ode(step_function, t0, y0, h):
    times = [t0]
    ys = [y0]

    while times[-1] <= t_end + 1e-14:
        t = times[-1]
        ys.append(step_function(t, ys[-1], h))
        times.append(t + h)

    pt.plot(times, ys, label=step_function.__name__[:4])


# In[35]:

def forward_euler_step(tk, yk, h):
    return ...

def backward_euler_step(tk, yk, h):
    return ...

t0 = 0.05
y0 = -0.5
h = 0.1  # start this at 0.001, then grow

plot_solution(t0=t0, y0=y0)
integrate_ode(forward_euler_step, t0=t0, y0=y0, h=h)
integrate_ode(backward_euler_step, t0=t0, y0=y0, h=h)
pt.xlim([t0, t_end])
pt.ylim([-1, 2])
pt.legend()


# Out[35]:

#     <matplotlib.legend.Legend at 0x53efd10>

# image file:

# <!--
# def forward_euler_step(tk, yk, h):
#     return yk + h*f(tk, yk)
# -->
# <!--
# def backward_euler_step(tk, yk, h):
#     tkp1 = tk+h
#     return (yk + h*(100*tkp1 + 101))/(1+100*h)
# -->
# (Edit this cell for solution.)