Array Part 01

English version Chinese version

Ideas

Based on two interval rules: left closed and right closed, left closed and right open.

Left closed and right closed

// 版本一
class Solution {
public:
    int search(vector<int>& nums, int target) {
        int left = 0;
        int right = nums.size() - 1; // 定义target在左闭右闭的区间里,[left, right]
        while (left <= right) { // 当left==right,区间[left, right]依然有效,所以用 <=
            int middle = left + ((right - left) / 2);// 防止溢出 等同于(left + right)/2
            if (nums[middle] > target) {
                right = middle - 1; // target 在左区间,所以[left, middle - 1]
            } else if (nums[middle] < target) {
                left = middle + 1; // target 在右区间,所以[middle + 1, right]
            } else { // nums[middle] == target
                return middle; // 数组中找到目标值,直接返回下标
            }
        }
        // 未找到目标值
        return -1;
    }
};

Left closed and right open

// 版本二
class Solution {
public:
    int search(vector<int>& nums, int target) {
        int left = 0;
        int right = nums.size(); // 定义target在左闭右开的区间里,即:[left, right)
        while (left < right) { // 因为left == right的时候,在[left, right)是无效的空间,所以使用 <
            int middle = left + ((right - left) >> 1);
            if (nums[middle] > target) {
                right = middle; // target 在左区间,在[left, middle)中
            } else if (nums[middle] < target) {
                left = middle + 1; // target 在右区间,在[middle + 1, right)中
            } else { // nums[middle] == target
                return middle; // 数组中找到目标值,直接返回下标
            }
        }
        // 未找到目标值
        return -1;
    }
};

27 Remove element

English version Chinese version

Ideas

Brute force solution/ two pointers method

Brute force solution

// 时间复杂度:O(n^2)
// 空间复杂度:O(1)
class Solution {
public:
    int removeElement(vector<int>& nums, int val) {
        int size = nums.size();
        for (int i = 0; i < size; i++) {
            if (nums[i] == val) { // 发现需要移除的元素,就将数组集体向前移动一位
                for (int j = i + 1; j < size; j++) {
                    nums[j - 1] = nums[j];
                }
                i--; // 因为下标i以后的数值都向前移动了一位,所以i也向前移动一位
                size--; // 此时数组的大小-1
            }
        }
        return size;

    }
};

Two pointers method

// 时间复杂度:O(n)
// 空间复杂度:O(1)
class Solution {
public:
    int removeElement(vector<int>& nums, int val) {
        int slowIndex = 0;
        for (int fastIndex = 0; fastIndex < nums.size(); fastIndex++) {
            if (val != nums[fastIndex]) {
                nums[slowIndex++] = nums[fastIndex];
            }
        }
        return slowIndex;
    }
};
Guan Li 关立
Guan Li 关立
Land Surveying and Geo-Informatics (LSGI)

My research interests include urban computing, ITS, GIS.