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為數獨找到解決方案的回溯算法

[英]Backtracking algorithm that finds solutions for sudoku

我正在研究算法的理論及其可能的解決方法。在這種情況下,我存在一些回溯問題。 我想寫一個填充數獨的函數 但它不會打印任何內容。 錯誤在哪里? 函數defsett(i,j)將兩個數字作為所選數字的坐標作為輸入,並設置兩個整數(w和o)作為輸入數字的3x3部分的起點。 取而代之,數獨功能會遞歸地嘗試用數獨規則填充矩陣。

# defsett = returns the coordinates of the first cell of the section 3x3 
# where is the cell [i,j]
def defsett(i,j):
    if(0<=i<=2):
        if(0<=j<=2):
            return (0,0)
        elif(3<=j<=5):
            return (0,3)
        elif(6<=j<=8):
            return (0,6)
    elif(3<=i<=5):
        if(0<=j<=2):
            return (3,0)
        elif(3<=j<=5):
            return (3,3)
        elif(6<=j<=8):
            return (3,6)
    else:
        if(0<=j<=2):
            return (6,0)
        elif(3<=j<=5):
            return (6,3)
        elif(6<=j<=8):
            return (6,6)
M = [[5,3,0,0,7,0,0,0,0],
     [6,0,0,1,9,5,0,0,0],
     [0,9,8,0,0,0,0,6,0],
     [8,0,0,0,6,0,0,0,3],
     [4,0,0,8,0,3,0,0,1],
     [7,0,0,0,2,0,0,0,6],
     [0,6,0,0,0,0,2,8,0],
     [0,0,0,4,1,9,0,0,5],
     [0,0,0,0,8,0,0,7,9]]

# n = matrix side
# i = index of rows
# j = index of cols

def sudoku(n,i,j,M):
        if(i==n):
            print(M)
        elif(j==n):
            j=0
            i=i+1
            sudoku(n,i,j,M)
        else:
            if(M[i][j]==0):
                for number in range(1,n+1):

                    xInRows = False
                    xInCols = False
                    xInSection = False

   # checking if number already present in this row 
                    for k in range(n): 
                        if (number == M[i][k]):
                            xInRows = True

   # checking if number already present in this cols 
                    for k in range(n):
                        if(number == M[k][j]):
                            xInCols = True

                    w,o=defsett(i,j) # first cell of this section

   # checking if number already present in this section 3x3
                    for t in range(w,w+3):
                        for b in range(o,o+3):
                            if(number == M[t][b]):
                                xInSection = True

                    if(not(xInRows) and not(xInCols) and not(xInSection)):
                        M[i][j] = x
                        sudoku(n,i,j+1,M)
            else:
                sudoku(n,i,j+1,M)
sudoku(9,0,0,M)
-----
For this input works:
M = [[5,3,0,0,7,0,0,0,0],
     [6,0,0,1,9,5,0,4,8],
     [1,9,8,3,4,2,5,6,7],
     [8,5,9,7,6,1,4,2,3],
     [4,2,6,8,5,3,7,9,1],
     [7,1,3,9,2,4,8,5,6],
     [9,6,1,5,3,7,2,8,4],
     [2,8,7,4,1,9,6,3,5],
     [3,4,5,0,8,6,1,7,9]]
For this doesn't:
M = [[5,3,0,0,7,0,0,0,0],
     [6,0,0,1,9,5,0,0,8],
     [1,9,8,3,4,2,5,6,7],
     [8,5,9,7,6,1,4,2,3],
     [4,2,6,8,5,3,7,9,1],
     [7,1,3,9,2,4,8,5,6],
     [9,6,1,5,3,7,2,8,4],
     [2,8,7,4,1,9,6,3,5],
     [3,4,5,0,8,6,1,7,9]]

關於什么都不打印的原因很簡單: sudoku()進行得不夠快,以至於i == 9都無法得出True 因此,讓我們分析一下如何發生...

  1. i == 9 9⇒退出解決方案
  2. i != 9 and j == 9 9⇒下一行遞歸; sudoku(9, i+1, 0, M)
  3. i != 9 and j != 9
    1. M[i][j] != 0 0⇒與下一列sudoku(9, i, j+1, M)遞歸sudoku(9, i, j+1, M)
    2. M[i][j] == 0 0⇒嘗試擬合一個數字
      1. 找到候選number ⇒設置M[i][j] = number不是 M[i][j] = x ),然后與下一列sudoku(9, i, j+1, M)遞歸

這就是整個決策過程。 一旦sudoku()退出,這就是M

[[5, 3, 2, 6, 7, 8, 9, 4, 0],
 [6, 0, 0, 1, 9, 5, 0, 0, 8],
 [1, 9, 8, 3, 4, 2, 5, 6, 7],
 [8, 5, 9, 7, 6, 1, 4, 2, 3],
 [4, 2, 6, 8, 5, 3, 7, 9, 1],
 [7, 1, 3, 9, 2, 4, 8, 5, 6],
 [9, 6, 1, 5, 3, 7, 2, 8, 4],
 [2, 8, 7, 4, 1, 9, 6, 3, 5],
 [3, 4, 5, 0, 8, 6, 1, 7, 9]]

為了理解問題出在哪里,想象一下您在第8列中放入4之后調用了sudoku(9, 0, 8, M) ...

1是尚未在此行中放置的唯一數字,但是在此禁止使用,因為它已經出現在第五行( M[4][8] )中。 sudoku(9, 0, 8, M)退出,因為沒有其他可嘗試的數字。 由於沒有人能夠將1放置在其他任何地方,因此控制從這里移到調用堆棧中。 為什么1如此重要? 因為所有其他數字已經放在此行的某個位置,並且sudko()回溯時不會改變!

解決方法很簡單:在遞歸步驟后的一行中添加一個數字,以撤消所做的更改以進行適當的回溯。

(...)
                    if(not(xInRows) and not(xInCols) and not(xInSection)):
                        M[i][j] = x
                        sudoku(n,i,j+1,M)
                        M[i][j] = 0
(...)

僅此一項就可以使sudoku()完成給定的M 我不能保證它將為任何M找到解決方案。 ;-)

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