gpt4 book ai didi

c - C中的分而治之trominos算法

转载 作者:太空狗 更新时间:2023-10-29 15:05:22 25 4
gpt4 key购买 nike

这是经典divide and conquer问题。我们有一个 2^n * 2^n 板,我们想用 L 形立方体填充它。我们知道棋盘上有一个方 block 我们不能分配一个立方体。此问题也称为 tromino问题(有点)。

问题

我的解决方案适用于 n = 1 和 n = 2。但是当我想进一步概括解决方案 (n > 2) 时,我没有填充所有 block ,其中一些 block 由错误的 L 形立方体部分组成.

程序结构

输入

用户输入n 和缺少的立方体t 在棋盘上的位置。

输出

我们打印充满“trominos”的棋盘。我们为它们中的每一个分配一个值。缺失的 cude 总是得到零值,每个“tromino”包含一个整数值(1、2、3、....)。

解决方案

#include <stdio.h>
#include <math.h>
#include <stdlib.h>

void recursiveSolve(int m, int A[m][m], int A_row, int A_col, int t_row, int t_y, int currBlockNum, int boardSize);

int main(void) {
int n, m;

do {
printf("Give n > 0: ");
scanf("%d", &n);
} while (n <= 0);

m = pow(2, n);

int A[m][m];

for (int i = 0; i < m; ++i) {
for (int j = 0; j < m; ++j) {
A[i][j] = -1;
}
}

int t_row, t_col;

do {
printf("Give missing square row coordinate: ");
scanf("%d", &t_row);
printf("Give missing square column coordinate: ");
scanf("%d", &t_col);
} while (t_row >= m || t_col >= m);

A[t_row][t_col] = 0;

recursiveSolve(m, A, 0, 0, t_row, t_col, 1, m);

for (int i = 0; i < m; ++i) {
for (int j = 0; j < m; ++j) {
printf("%2d ", A[i][j]);
}
printf("\n");
}

return 0;
}

void recursiveSolve(int m, int A[m][m], int A_row, int A_col, int t_row, int t_col, int currBlockNum, int boardSize) {
if (boardSize == 2) { // fill with L shaped block the area that is blank (no block exist).

// check first which part of our board if filled up with a block
// and then paint the other.
if (A[A_row][A_col] != -1) { // block exist at the top-left corner
A[A_row+1][A_col] = currBlockNum; // paint the bottom-left corner
A[A_row+1][A_col+1] = currBlockNum; // paint the bottom-right corner
A[A_row][A_col+1] = currBlockNum; // paint the top-right corner

} else if (A[A_row][A_col+1] != -1) { // block exist at the top-right corner
A[A_row][A_col] = currBlockNum; // paint the top-left corner
A[A_row+1][A_col] = currBlockNum; // paint the bottom-left corner
A[A_row+1][A_col+1] = currBlockNum; // paint the bottom-right corner

} else if (A[A_row+1][A_col] != -1) { // block exist at the bottom-left corner
A[A_row][A_col] = currBlockNum;
A[A_row][A_col+1] = currBlockNum;
A[A_row+1][A_col+1] = currBlockNum;

} else { // block exist at the bottom-right corner
A[A_row][A_col] = currBlockNum;
A[A_row][A_col+1] = currBlockNum;
A[A_row+1][A_col] = currBlockNum;
}

} else {
int A_halfSize = boardSize / 2;

// the bellow calculations allow us to check which
// sub-partition of our board includes the missing block,
// as well as how we should paint the center L shaped block.
int A_rowCenter = A_row + A_halfSize;
int A_colCenter = A_col + A_halfSize;


if (t_row < A_rowCenter) { // missing block in top half
if (t_col < A_colCenter ) { // missing block is in top left half
A[A_rowCenter][A_colCenter-1] = currBlockNum;
A[A_rowCenter][A_colCenter] = currBlockNum;
A[A_rowCenter-1][A_colCenter] = currBlockNum;
} else { // missing block is in top right half
A[A_rowCenter-1][A_colCenter-1] = currBlockNum;
A[A_rowCenter][A_colCenter-1] = currBlockNum;
A[A_rowCenter][A_colCenter] = currBlockNum;
}

} else { // missing block in bottom half
if (t_col < A_colCenter ) { // missing block is in bottom left half
A[A_rowCenter][A_colCenter] = currBlockNum;
A[A_rowCenter-1][A_colCenter] = currBlockNum;
A[A_rowCenter-1][A_colCenter-1] = currBlockNum;
} else { // missing block is in bottom right half
A[A_rowCenter][A_colCenter-1] = currBlockNum;
A[A_rowCenter-1][A_colCenter-1] = currBlockNum;
A[A_rowCenter-1][A_colCenter] = currBlockNum;
}
}

// solve each sub-partion recursively

// top-right sub-partion
recursiveSolve(m, A, A_row, A_colCenter, t_row, t_col, ++currBlockNum, A_halfSize);

// bottom-right sub-partion
recursiveSolve(m, A, A_rowCenter, A_colCenter, t_row, t_col, ++currBlockNum, A_halfSize);

// bottom left sub-partition
recursiveSolve(m, A, A_rowCenter, A_col, t_row, t_col, ++currBlockNum, A_halfSize);

// top-left sub-partition
recursiveSolve(m, A, A_row, A_col, t_row, t_col, ++currBlockNum, A_halfSize);
}
}

最佳答案

据我所知,策略是将 L 放置在 3 个正方形中恰好占据一个立方体的位置,该立方体不包含已占据的立方体。

换句话说:

  • 您将输入方 block 分成 4 个方 block 。
  • 其中一个已经有一个被占用的立方体。
  • 你放置 L 使得其他 3 个方 block 也恰好有一个被占用的方 block 结束。

因此,您现在有 4 个正方形 - 所有正方形都恰好有一个被占用的立方体。所以现在您可以在这四个方 block 上运行该函数。

enter image description here

现在您可以独立处理 4 个方 block 中的每一个,因为每个方 block 恰好有一个占用的立方体。

那么你的代码有什么问题?

问题是你没有更新被占用的立方体的位置,而只是保持原来的位置。

    // top-right sub-partion
recursiveSolve(m, A, A_row, A_colCenter, t_row, t_col, ++currBlockNum, A_halfSize);
^^^^^^^^^^^^
May need update before calling

// bottom-right sub-partion
recursiveSolve(m, A, A_rowCenter, A_colCenter, t_row, t_col, ++currBlockNum, A_halfSize);
^^^^^^^^^^^^
May need update before calling

// bottom left sub-partition
recursiveSolve(m, A, A_rowCenter, A_col, t_row, t_col, ++currBlockNum, A_halfSize);
^^^^^^^^^^^^
May need update before calling

// top-left sub-partition
recursiveSolve(m, A, A_row, A_col, t_row, t_col, ++currBlockNum, A_halfSize);
^^^^^^^^^^^^
May need update before calling

对于 4 个调用中的 3 个,您需要更新占用方 block 的位置。

这可以通过多种方式实现。这是一种方法:

void recursiveSolve(int m, int A[m][m], int A_row, int A_col, int t_row, int t_col, int currBlockNum, int boardSize) {
if (boardSize == 2) {

// Keep your existing code unchanged here

} else {
int A_halfSize = boardSize / 2;

// the bellow calculations allow us to check which
// sub-partition of our board includes the missing block,
// as well as how we should paint the center L shaped block.
int A_rowCenter = A_row + A_halfSize;
int A_colCenter = A_col + A_halfSize;

// Calculate the position of the center cubes
// as these will be the new occupied cub for
// 3 of the 4 squares
int TR_t_row = A_rowCenter - 1;
int TR_t_col = A_colCenter;

int BR_t_row = A_rowCenter;
int BR_t_col = A_colCenter - 1;

int BL_t_row = A_rowCenter - 1;
int BL_t_col = A_colCenter;

int TL_t_row = A_rowCenter - 1;
int TL_t_col = A_colCenter - 1;



if (t_row < A_rowCenter) { // missing block in top half
if (t_col < A_colCenter ) { // missing block is in top left half
A[A_rowCenter][A_colCenter-1] = currBlockNum;
A[A_rowCenter][A_colCenter] = currBlockNum;
A[A_rowCenter-1][A_colCenter] = currBlockNum;

TL_t_row = t_row; // Roll back to
TL_t_col = t_col; // original occupied cube

} else { // missing block is in top right half
A[A_rowCenter-1][A_colCenter-1] = currBlockNum;
A[A_rowCenter][A_colCenter-1] = currBlockNum;
A[A_rowCenter][A_colCenter] = currBlockNum;

TR_t_row = t_row; // Roll back
TR_t_col = t_col;

}

} else { // missing block in bottom half
if (t_col < A_colCenter ) { // missing block is in bottom left half
A[A_rowCenter][A_colCenter] = currBlockNum;
A[A_rowCenter-1][A_colCenter] = currBlockNum;
A[A_rowCenter-1][A_colCenter-1] = currBlockNum;

BL_t_row = t_row; // Roll back
BL_t_col = t_col;

} else { // missing block is in bottom right half
A[A_rowCenter][A_colCenter-1] = currBlockNum;
A[A_rowCenter-1][A_colCenter-1] = currBlockNum;
A[A_rowCenter-1][A_colCenter] = currBlockNum;

BR_t_row = t_row; // Roll back
BR_t_col = t_col;

}
}

// solve each sub-partion recursively

// Use the 8 new variables for the recursive calls

// top-right sub-partion
recursiveSolve(m, A, A_row, A_colCenter, TR_t_row, TR_t_col, ++currBlockNum, A_halfSize);
// ^^^^^^^^^^^^^^^^^^

// bottom-right sub-partion
recursiveSolve(m, A, A_rowCenter, A_colCenter, BR_t_row, BR_t_col, ++currBlockNum, A_halfSize);
// ^^^^^^^^^^^^^^^^^^

// bottom left sub-partition
recursiveSolve(m, A, A_rowCenter, A_col, BL_t_row, BL_t_col, ++currBlockNum, A_halfSize);
// ^^^^^^^^^^^^^^^^^^

// top-left sub-partition
recursiveSolve(m, A, A_row, A_col, TL_t_row, TL_t_col, ++currBlockNum, A_halfSize);
// ^^^^^^^^^^^^^^^^^^
}
}

更新

如果你想避免对多个 L 使用相同的数字,你应该传递一个指向 currBlockNum 的指针。

更改原型(prototype) - 注意 int* currBlockNum:

void recursiveSolve(int m, int A[m][m], int A_row, int A_col, int t_row, int t_y, int* currBlockNum, int boardSize);

主要做:

int currBlockNum = 1;
recursiveSolve(m, A, 0, 0, t_row, t_col, &currBlockNum, m);
^^^
Notice

在函数中更改所有要赋值的地方——比如

A[A_row+1][A_col]  = *currBlockNum;
^^^
Notice

并且每次您递归调用该函数时,首先进行递增 - 例如:

    ++(*currBlockNum);
recursiveSolve(m, A, A_row, A_colCenter, TR_t_row, TR_t_col, currBlockNum, A_halfSize);

关于c - C中的分而治之trominos算法,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/41361916/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com