def find_max_from_env(inp_matrix):
size = len(inp_matrix)
tmp = np.eye(size)
for i in range(0,len(inp_matrix)):
for j in range(0,len(inp_matrix)):
tmp[i][j] = inp_matrix[i][j]
eival, eivect = jac.jacobi(tmp)
maxim = inp_matrix[0][0]
for i in range(1, len(eival)):
if eival[i] > maxim:
maxim = eival[i]
return maxim
def find_min_from_env(inp_matrix):
size = len(inp_matrix)
tmp = np.eye(size)
for i in range(0,len(inp_matrix)):
for j in range(0,len(inp_matrix)):
tmp[i][j] = inp_matrix[i][j]
eival, eivect = jac.jacobi(tmp)
minimal = tmp[0][0]
for i in range(1, len(eival)):
if eival[i] < minimal:
minimal = eival[i]
return minimal
