鉴于k
车辆和n by n
棋盘,可以安全地将车辆放置在棋盘上W
以不同的方式,
W = k!(n C k)^2
written differently W = n!n!/(k!(n-k)!(n-k)!)
问题陈述:
编写一个将在n by n
棋盘上运行的程序,并计算k
可以安全地放置在棋盘上的所有方式。
我的研究:
在搜索互联网后,我终于在Geekviewpoint上找到了nQueensSolution
代码,我将其修改如下。但是我的代码仅在k = n
时有效。有谁知道如何为k<n
解决这个问题?
这是我的代码:
static int kRooksPermutations(int[] Q, int col, int k, int kLimit) {
int count = 0;
for (int x = 0; x < Q.length && col < Q.length; x++)
if (safeToAdd(Q, x, col)) {
if (k == kLimit - 1) {
count++;
Q[col] = -1;
} else {
Q[col] = x;
count += kRooksPermutations(Q, col + 1, k + 1, kLimit);
}
}
return count;
}//
static boolean safeToAdd(int[] Q, int r, int c) {
for (int y = 0; y < c; y++)
if (Q[y] == r)
return false;
return true;
}//
这是一个测试代码
public static void main(String... strings) {
kRooksPermutations(8,5);
}
答案 0 :(得分:3)
知道了!
// Empty
static final int MT = -1;
static int kRooksPermutations(int[] Q, int col, int rooksInHand) {
// Are we at the last col?
if (col >= Q.length) {
// If we've placed K rooks then its a good'n.
return rooksInHand == 0 ? 1 : 0;
}
// Count at this level starts at 0
int count = 0;
// Have we run out of rooks?
if (rooksInHand > 0) {
// No! Try putting one in each row in this column.
for (int row = 0; row < Q.length; row++) {
// Can a rook be placed here?
if (safeToAdd(Q, row, col)) {
// Mark this spot occupied.
Q[col] = row;
// Recurse to the next column with one less rook.
count += kRooksPermutations(Q, col + 1, rooksInHand - 1);
// No longer occupied.
Q[col] = MT;
}
}
}
// Also try NOT putting a rook in this column.
count += kRooksPermutations(Q, col + 1, rooksInHand);
return count;
}
static boolean safeToAdd(int[] Q, int row, int col) {
// Unoccupied!
if (Q[col] != MT) {
return false;
}
// Do any columns have a rook in this row?
// Could probably stop at col here rather than Q.length
for (int c = 0; c < Q.length; c++) {
if (Q[c] == row) {
// Yes!
return false;
}
}
// All clear.
return true;
}
// Main entry - Build the array and start it all going.
private static void kRooksPermutations(int N, int K) {
// One for each column of the board.
// Contains the row number in which a rook is placed or -1 (MT) if the column is empty.
final int[] Q = new int[N];
// Start all empty.
Arrays.fill(Q, MT);
// Start at column 0 with no rooks placed.
int perms = kRooksPermutations(Q, 0, K);
// Print it.
System.out.println("Perms for N = " + N + " K = " + K + " = " + perms);
}
public static void main(String[] args) {
kRooksPermutations(8, 1);
kRooksPermutations(8, 2);
kRooksPermutations(8, 3);
kRooksPermutations(8, 4);
kRooksPermutations(8, 5);
kRooksPermutations(8, 6);
kRooksPermutations(8, 7);
kRooksPermutations(8, 8);
}
打印:
Perms for N = 8 K = 1 = 64
Perms for N = 8 K = 2 = 1568
Perms for N = 8 K = 3 = 18816
Perms for N = 8 K = 4 = 117600
Perms for N = 8 K = 5 = 376320
Perms for N = 8 K = 6 = 564480
Perms for N = 8 K = 7 = 322560
Perms for N = 8 K = 8 = 40320
答案 1 :(得分:0)
我可能会以不同的方式解决问题:
solutions = 0;
k = number_of_rooks;
recurse(0,k);
print solutions;
...
recurse(row, numberOfRooks) {
if (numberOfRooks == 0) {
++solution;
return;
}
for(i=row; i<n; i++) {
for(j=0; j<n; j++) {
if (rook_is_ok_at(i, j)) {
place rook at i, j
recurse(i+1, numberOfRooks-1)
remove rook from i, j
}
}
}
}
这解决了一般情况下的问题。 8个车,5个车,没关系。因为所有的车都是独一无二的,请注意我们放置车时我们不必重新开始(0,0)
编辑这里有一些结果:
这是我得到的1到8个车的结果:
For 1 rooks, there are 64 unique positions
For 2 rooks, there are 1568 unique positions
For 3 rooks, there are 18816 unique positions
For 4 rooks, there are 117600 unique positions
For 5 rooks, there are 376320 unique positions
For 6 rooks, there are 564480 unique positions
For 7 rooks, there are 322560 unique positions
For 8 rooks, there are 40320 unique positions