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hw10
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import numpy as np | |
def dist(angle, m_prop): | |
t = np.linspace(0, 10, 1001) | |
vx = np.zeros([1001]) | |
vy = np.zeros([1001]) | |
x = np.zeros([1001]) | |
y = np.zeros([1001]) | |
A = 0.8 | |
g = -9.8 | |
initial_height = 5 | |
initial_velocity = 1500 * (m_prop / 65)**.45 | |
mass = 65 | |
C = 1.4 | |
rho = 1.225 | |
radians = angle * 2 * np.pi / 360 | |
y[0] = initial_height | |
vx[0] = initial_velocity * np.cos(radians) | |
vy[0] = initial_velocity * np.sin(radians) | |
for j in range(1, len(t)): | |
if y[j - 1] <= 0.0: | |
vx[j] = vy[j] = vx[j - 1] = vy[ | |
j - 1] = y[j] = y[j - 1] = 0.0 | |
x[j - 1] = x[j - 2] | |
x[j] = x[j - 1] | |
continue | |
v = np.sqrt(vx[j - 1]**2 + vy[j - 1]**2) | |
ax = -(0.5 * rho * C * A / mass) * v**2 * (vx[j - 1] / v) | |
ay = g - (0.5 * rho * C * A / mass) * v**2 * (vy[j - 1] / v) | |
dt = t[1] - t[0] | |
vy[j] = vy[j - 1] + ay * dt | |
vx[j] = vx[j - 1] + ax * dt | |
x[j] = x[j - 1] + vx[j] * dt | |
y[j] = y[j - 1] + vy[j] * dt | |
maxRow = x.max(0) | |
return maxRow | |
print(dist(30, 0.10)) |
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import numpy as np | |
def dist(angle, m_prop): | |
t = np.linspace(0, 10, 1001) | |
vx = np.zeros([1001]) | |
vy = np.zeros([1001]) | |
x = np.zeros([1001]) | |
y = np.zeros([1001]) | |
A = 0.8 | |
g = -9.8 | |
initial_height = 5 | |
initial_velocity = 1500 * (m_prop / 65)**.45 | |
mass = 65 | |
C = 1.4 | |
rho = 1.225 | |
radians = angle * 2 * np.pi / 360 | |
y[0] = initial_height | |
vx[0] = initial_velocity * np.cos(radians) | |
vy[0] = initial_velocity * np.sin(radians) | |
for j in range(1, len(t)): | |
if y[j - 1] <= 0.0: | |
vx[j] = vy[j] = vx[j - 1] = vy[ | |
j - 1] = y[j] = y[j - 1] = 0.0 | |
x[j - 1] = x[j - 2] | |
x[j] = x[j - 1] | |
continue | |
v = np.sqrt(vx[j - 1]**2 + vy[j - 1]**2) | |
ax = -(0.5 * rho * C * A / mass) * v**2 * (vx[j - 1] / v) | |
ay = g - (0.5 * rho * C * A / mass) * v**2 * (vy[j - 1] / v) | |
dt = t[1] - t[0] | |
vy[j] = vy[j - 1] + ay * dt | |
vx[j] = vx[j - 1] + ax * dt | |
x[j] = x[j - 1] + vx[j] * dt | |
y[j] = y[j - 1] + vy[j] * dt | |
maxRow = x.max(0) | |
return maxRow | |
# print(dist(30, 0.10)) | |
guess_dist = 0 # m | |
guess_angle = 0 # deg | |
guess_m_prop = 0.05 # kg | |
max_dist = 0.0 | |
max_angle = 0 | |
max_m_prop = 0 | |
# change angle iteratively until improvement stops | |
old_guess_dist = guess_dist - 1 | |
while guess_dist >= old_guess_dist: | |
old_guess_dist = guess_dist | |
guess_angle += 1 | |
guess_dist = dist( guess_angle,guess_m_prop ) | |
max_angle = guess_angle | |
# then change m_prop iteratively until improvement stops | |
old_guess_dist = guess_dist - 1 | |
while guess_dist >= old_guess_dist: | |
max_m_prop = guess_m_prop | |
old_guess_dist = guess_dist | |
guess_m_prop += 0.01 | |
if guess_m_prop > 0.12: break | |
guess_dist = dist( max_angle,guess_m_prop ) | |
print(guess_m_prop, guess_dist) | |
max_dist = guess_dist | |
# now you should know max_dist, max_angle, max_m_prop |
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from scipy.optimize import minimize | |
import math | |
def f_r(x): | |
return 20 + x**2 - 0.1 * math.cos(math.pi * 2 * x) | |
r = minimize(f_r, 1) | |
xstar = r['x'][0] | |
fstar = r['fun'] |
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