Backtracing
Introduction¶
Backtracking is a technique often used in depth-first search (DFS) and breadth-first search (BFS) problems.
The principle of backtracking is: go back if you can't get through.
Implementation process¶
-
Construct the potential search tree.
-
Start the traversal.
-
If the boundary condition is met, stop searching further and try another possibility.
-
When the target condition is reached, output the result.
Classic sample problems¶
DFS implementation¶
The traceback code for the Eight Queens problem (USACO version):
#include <bits/stdc++.h>
using namespace std;
int ans[14], check[3][28] = {0}, sum = 0, n;
void eq(int line) {
if (line > n) {
sum++;
if (sum > 3)
return;
else {
for (int i = 1; i <= n; i++) printf("%d ", ans[i]);
printf("\n");
return;
}
}
for (int i = 1; i <= n; i++) {
if ((!check[0][i]) && (!check[1][line + i]) && (!check[2][line - i + n])) {
ans[line] = i;
check[0][i] = 1;
check[1][line + i] = 1;
check[2][line - i + n] = 1;
eq(line + 1);
check[0][i] = 0;
check[1][line + i] = 0;
check[2][line - i + n] = 0;
}
}
}
int main() {
scanf("%d", &n);
eq(1);
printf("%d", sum);
return 0;
}
BFS implementation¶
The traceback code for the maze problem (USACO version):
using namespace std;
int n, m, k, x, y, a, b, ans;
int dx[4] = {0, 0, 1, -1}, dy[4] = {1, -1, 0, 0};
bool vis[6][6];
struct oo {
int x, y, used[6][6];
};
oo sa;
void bfs() {
queue<oo> q;
sa.x = x;
sa.y = y;
sa.used[x][y] = 1;
q.push(sa);
while (!q.empty()) {
oo now = q.front();
q.pop();
for (int i = 0; i < 4; i++) {
int sx = now.x + dx[i];
int sy = now.y + dy[i];
if (now.used[sx][sy] || vis[sx][sy] || sx == 0 || sy == 0 || sx > n ||
sy > m)
continue;
if (sx == a && sy == b) {
ans++;
continue;
}
sa.x = sx;
sa.y = sy;
memcpy(sa.used, now.used, sizeof(now.used));
sa.used[sx][sy] = 1;
q.push(sa);
}
}
}
int main() {
scanf("%d%d%d", &n, &m, &k);
scanf("%d%d%d%d", &x, &y, &a, &b);
for (int i = 1, aa, bb; i <= k; i++) {
scanf("%d%d", &aa, &bb);
vis[aa][bb] = 1;
}
bfs();
printf("%d", ans);
return 0;
}
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