gj, Python 3 - rextester

gj

matrix = [[3, 2, 3, 4, 2, 1, 1, 2, 2, 3],   # epafksimenos (augmented) pinakas 20x10
          [2, 3, 4, 2, 1, 5, 3, 2, 2, 1],
          [3, 1, 2, 5, 2, 3, 1, 3, 1, 3],
          [1, 3, 1, 4, 1, 1, 3, 2, 2, 1],
          [3, 2, 2, 3, 1, 2, 2, 1, 1, 2],
          [2, 1, 3, 1, 2, 4, 2, 3, 2, 3],
          [3, 1, 1, 3, 3, 3, 1, 3, 1, 3],
          [3, 3, 3, 2, 1, 1, 2, 2, 2, 1],
          [3, 3, 1, 1, 1, 1, 1, 1, 3, 1],
          [1, 2, 1, 1, 3, 2, 1, 1, 2, 3],
          [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
          [0 ,1, 0, 0, 0, 0, 0, 0, 0, 0],
          [0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
          [0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
          [0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
          [0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
          [0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
          [0, 0, 0, 0, 0, 0, 0, 0, 0, 1]]
          
def matrix_elimination(matrix):
    # pollaplasiazoume ta stoixeia tis 1hs grammis me ton antistrofo tou protou stoixeiou
    # afairoume tin 1h grammi apo tis ipoloipes (elimination)
    # epanalamvanoume tin parapano diadikasia
    i, k, m, n = 0, 0, 0, 20
    while i < n / 2:
        j = 0
        var = matrix[i][i]
        print ("var =", var, "", "i =", i)
        for e in matrix[i]: 
           if var != 0:
            e = e * (1 / var)
            matrix[i][j] = e
            j = j + 1
 #       print ("matrix = ", matrix)    
        m = k + 1
        print ("m =", m, "", "i =", i, "", "k =", k)
        while m < n / 2:
            var1 = matrix[m][i]
            print ("var1 =", var1)
            k = i
            while k < n / 2:
                matrix[m][k] = matrix[m][k] - (matrix[i][k] * var1 )
                k = k + 1    
            m = m + 1
        k = i
        k = k + 1      
        i = i + 1
        print (*matrix, sep = "\n")
      
    return matrix
inverse_matrix = matrix_elimination(matrix)
print ("inverse_matrix =",inverse_matrix)
i = 0
while i < 20 / 2:
    j = 0
    while j < 10:
        inverse_matrix[i][j] = round(inverse_matrix[i][j], 1)
        j = j + 1
    i = i + 1
print (*inverse_matrix, sep = "\n")

inverse_matrix = [[1.0,     0.66,         1.0,     1.33,    0.66,    0.33,    0.33,    0.66,     0.66,    1.0],
                  [0.0,     1.0,          1.2,    -0.39    -0.19,    2.59,    1.4,     0.4,      0.4,    -0.6],         
                  [0.0,     0.0,          1.0,     3.0,    -1.0,     23.0,    7.0,     7.0,     -3.0,    -3.0],
                  [0.0,     0.0,          0.0,     1.0,     0.16,    4.91,    1.58,    1.66,    -0.66,   -0.58],
                  [-0.0,   -0.0,         -0.0,    -0.0,     1.0,    -8.5,    -2.9,     1.6,      1.59,    1.70], 
                  [0.0,     0.0,          0.0,     0.0,     0.0,     1.0,     0.44,    0.36,    -0.06,   -0.02], 
                  [-0.0,   -0.0,         -0.0,    -0.0,    -0.0,    -0.0,     1.0,     0.53,     0.53,    0.86], 
                  [0.0,     0.0,          0.0,     0.0,     0.0,     0.0,     0.0,     1.0,      0.15,   -0.32], 
                  [0.0,     0.0,          0.0,     0.0,     0.0,     0.0,     0.0,     0.0,      1.0,     0.83], 
                  [0.0,     0.0,          0.0,     0.0,     0.0,     0.0,     0.0,     0.0,      0.0,     1.0]]

def upper_matrix_elimination(inverse_matrix):
    n = 10
    i = 1
#   pollaplasiazoume tin 2h grammi me to 2o stoixeio tis protis kai afairoume "1h - 2h"...
    while i < n:
        var = matrix[i - 1][i]
        print ("var =", var, "", "i =", i)
        for e in matrix[i]: 
            e = e * var
        inverse_matrix[i - 1][i] = inverse_matrix[i - 1][i] - e
        print ("new_inverse_matrix = ", inverse_matrix)
        i = i + 1
    return inverse_matrix


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