import cust_input
import numpy as np
from hooke_jeeves_method import hooke_jeeves
# variant 28:
# f(x) = x1^2 + 16x2^2
n = 2
x0 = np.zeros([n])
print(x0)
delta_x = np.zeros([n])
alpha = 2
print("Enter the starting point coordinates:\n")
for i in range(n):
x0[i] = cust_input.float_input(-1000000000, 1000000000, "Enter %d coordinate (from -1000000000 to 1000000000):\n" %(i+1))
epsilon = cust_input.float_input(0.0000000001, 1, "Enter accuracy (from 0.0000000001 to 1):\n")
print("Enter step sizes:\n")
for i in range(n):
delta_x[i] = cust_input.float_input(0.00001, 1, "Enter step size for %d coordinate (from 0.00001 to 1):\n" %(i+1))
print("\nMinimum point: ", hooke_jeeves(x0, delta_x, epsilon, alpha))
def test_hooke_jeeves_10(self):
for i in range(2):
self.assertEqual(
hooke_jeeves(np.array([7, 6]), np.array([0.6, 0.8]), 0.001,
2)[i], 0)
def test_hooke_jeeves_60(self):
for i in range(2):
self.assertEqual(
hooke_jeeves(np.array([-2000, -2000]), np.array([0.8, 0.8]),
0.001, 2000)[i], 16)
def test_hooke_jeeves_50(self):
for i in range(2):
self.assertEqual(
hooke_jeeves(np.array([-200, -200]), np.array([0.1, 0.1]),
0.001, 20)[i], 0)
def test_hooke_jeeves_40(self):
for i in range(2):
self.assertEqual(
hooke_jeeves(np.array([0, 0]), np.array([0, 0]), 0.1, 2)[i], 0)
def test_hooke_jeeves_30(self):
for i in range(2):
self.assertEqual(
hooke_jeeves(np.array([1, 1]), np.array([0.01, 0.01]), 0.001,
2)[i], 0)