#!/usr/bin/python3
import numpy
import np
import random
import math
random.seed()
SIZE = 1500
a = []
for i in range(SIZE):
b = []
for j in range(SIZE):
b.append((random.randint(-100, 100)) / (i + j + 1))
a.append(b)
y = np.matrix(a)
print(SIZE)
for i in range(SIZE):
for j in range(SIZE):
print(y[i].transpose()[j].item(), end=" ")
print()
print(numpy.linalg.det(y))
#!/usr/bin/python3
import numpy
import np
y = np.matrix ( ((1, 2, 3), (2, 0, 4), (3, 4, 5)) );
print(3)
for i in range(3):
for j in range(3):
print(y[i].transpose()[j].item(), end=" ")
print()
print(numpy.linalg.det(y))
import np
def f(x):
return 1 if x >= 0 else -1
x = [];
w = [];
x.append( np.matrix((-1, 1, -1, 1)) )
x[0] = x[0].transpose()
x.append( np.matrix((1, -1, 1, 1)) )
x[1] = x[1].transpose()
x.append( np.matrix((-1, 1, -1, -1)) )
x[2] = x[2].transpose()
for i in range(len(x)):
w.append( x[i]*x[i].transpose() )
W = w[0]
for i in range(1, len(w)):
W = W + w[i]
for i in range(len(W)):
W[i].transpose()[i] = np.matrix([[0]])
border = 50
finished = False
times = 0
coll = []
print("Print 4 numbers: it'll be the vector to identificate")
import np
import random
inf = float("inf")
L = np.matrix(
((inf, 38, 74, 59, 45),
(38, inf, 46, 61, 72),
(74, 46, inf, 49, 85),
(59, 61, 49, inf, 42),
(45, 72, 85, 42, inf)) )
tau = np.matrix(
((1, 1, 1, 1, 1),
(1, 1, 1, 1, 1),
(1, 1, 1, 1, 1),
(1, 1, 1, 1, 1),
(1, 1, 1, 1, 1)) )
print ("L = ")
print (L)
print ("tau = ")
print (tau)
eta = np.matrix(L)
for i in range(5):
for j in range(5):
eta[i].transpose()[j] = np.matrix(1/eta[i].transpose()[j])
P = np.matrix(L)
import np
def f(x):
return -1 if x <= 0 else 1
x = [];
x.append( 0 )
x.append ( np.matrix((1, -1, 1, -1)) )
x.append ( np.matrix((-1, 1, -1, 1)) )
x.append ( np.matrix((1, 1, 1, -1)) )
x.append ( np.matrix((-1, -1, 1, -1)) )
l = []
print("Print 4 numbers: it'll be the vector:")
for i in range(4):
a = int( input() )
l.append(a)
x_star = np.matrix(l)
y = []
y.append( 0 )
y.append ( np.matrix((-1, -1, 1)) )
y.append ( np.matrix((-1, 1, -1)) )
y.append ( np.matrix((-1, 1, 1)) )
y.append ( np.matrix((1, -1, -1)) )
W = y[1].transpose()*x[1]
for i in range(2, 5):
w = y[i].transpose()*x[i]
#!/usr/bin/python3
import numpy
import np
import random
import math
random.seed()
SIZE=1500
a=[]
for i in range(SIZE):
b=[]
for j in range(SIZE):
b.append((random.randint(-100, 100))/(i+j+1))
a.append(b)
y = np.matrix (a);
print(SIZE)
for i in range(SIZE):
for j in range(SIZE):
print(y[i].transpose()[j].item(), end=" ")
print()
print(numpy.linalg.det(y))
