HM1_Aufgabenserie6/Schenk_Brandenberger_S6_Aufg2.py

import numpy as np


def switchRows(matrix, row1, row2):
    matrix[[row1, row2]] = matrix[[row2, row1]]
    return matrix



def gaussAltorithmus(A, b):

    def calculateRow(A, b, row, column):
        b[row] = [b[row][0] - (A[row][column] / A[column][column]) * b[column][0]]
        A[row] = [(A[row][i] - (A[row][column] / A[column][column]) * A[column][i]) for i in range(len(A[row]))]
        return A, b

    # Erstelle obere Dreiecksmatrix
    columnsToEdit = []
    for row in range(1, len(A)):
        columnsToEdit.append(row - 1)
        for column in columnsToEdit:
            print("Zeile", row, "Spalte", column)
            if(A[row-1][column] == 0 and (row - 1 == column)):
                rowToSwitch = row
                if(row == 1):
                    while(A[rowToSwitch][column] == 0):
                        if(len(A) > rowToSwitch + 1):
                            rowToSwitch += 1
                        else:
                            return "Matrix ist nicht regulär!"
                A = switchRows(A, row - 1, rowToSwitch)
                b = switchRows(b, row - 1, rowToSwitch)
            else:
                A, b = calculateRow(A, b, row, column)

            print("\nA\n", A, "\nb\n", b)

    # Rückwärtseinsetzen
    columnsToEdit = []
    for row in range((len(A) - 2), -1, -1):
        columnsToEdit.append(row + 1)
        for column in columnsToEdit:
            A, b = calculateRow(A, b, row, column)
            print(A)
            print(b)
        row -= 1
        print("\nA\n", A, "\nb\n", b)

    result = []
    for i in range(len(A)):
        result.append(b[i][0] / A[i][i])
    return result



if __name__ == '__main__':
    # Beispiel aus Vorlesungsfolen:
    A = np.array([[1.0, 5.0, 6.0],
                  [7.0, 9.0, 6.0],
                  [2.0, 3.0, 4.0]])
    b = np.array([[29.0],
                   [43.0],
                   [20.0]])

    # A = np.array([[1.0, 1.5, 2.0],
    #                [2.0, 3.0, 5.0],
    #                [0.0, 1.0, 2.0]])
    #
    # b = np.array([[16.0],
    #                [35.0],
    #                [12.0]])

    result = gaussAltorithmus(A, b)
    for i in range(len(result)):
        print("x" + str(i) + ": " + str(result[i]))