[OJ] Matrix Zigzag Traversal

LintCode #46. Matrix Zigzag Traversal (Easy)

class Solution {
public:
    vector<int> printZMatrix(vector<vector<int> > &matrix) {
        vector<int> v;
        if (matrix.size() == 0) return v;
        int m = matrix.size(), n = matrix[0].size(), cnt = m * n;
        int i = 0, j = 0;
        int d[][2] = {{ -1, 1 }, { 1, -1 }};
        int dir = 0;
        while (v.size() < cnt) {
            while (i >= 0 && i < m && j >= 0 && j < n) {
                v.push_back(matrix[i][j]);
                i += d[dir][0];
                j += d[dir][1];
            }
            i -= d[dir][0];
            j -= d[dir][1];
            if (dir == 0) {
                if (j + 1 < n) ++j;
                else ++i;
            } else {
                if (i + 1 < m) ++i;
                else ++j;
            }
            dir = (dir + 1) % 2;
        }
        return v;
    }
};

思路:

• 斜着走的方向只有"右上"(dir=0)和"左下"(dir=1). 按"右上", "左下"的顺序交替走.
• 当走到边界的时候, 要么"向右走一步", 要么"向下走一步".
  • 如果正在向"右上"走, 优先"向右走一步", 若不能则"向下走一步".
  • 如果正在向"左下"走, 优先"向下走一步", 若不能则"向右走一步".

时间复杂度: O(m*n)

空间复杂度: O(1)

---

参照这篇博文的思路.

class Solution {
public:
    /**
     * @param matrix: a matrix of integers
     * @return: a vector of integers
     */
    vector<int> printZMatrix(vector<vector<int> > &matrix) {
        vector<int> v;
        if (matrix.size() == 0) return v;
        int m = matrix.size(), n = matrix[0].size();
        int sum = 0, x = 0, dx = -1;
        while (sum < m + n - 1) {
            while (x >= 0 && x < m && sum - x >= 0 && sum - x < n) {
                v.push_back(matrix[x][sum - x]);
                x += dx;
            }
            x -= dx;
            sum++;
            if ((dx == -1 && sum - x >= n)
            || (dx == 1 && x < m - 1)) {
                ++x;
            }
            dx = -dx;
        }
        return v;
    }
};

思路:

• 观察下标规律.

(0, 0)
(0, 1), (1, 0)
(2, 0), (1, 1), (0, 2)
(0, 3), (1, 2), (2, 1)
(2, 2), (1, 3)
(2, 3)

可以看到各行x与y坐标的和是常数, 且该和逐行递增.

• 偶数行x递减, 奇数行x递增.
• 原解法有个缺陷是"矩阵越细长, 空循环就越多". 我的解法对这点进行了优化.
  
  时间复杂度: O(m*n)
  
  空间复杂度: O(1)