内容简介:Given a sorted array and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.You may assume no duplicates in the array.难度:easy
Given a sorted array and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.
You may assume no duplicates in the array.
Example 1: Input: [1,3,5,6], 5 Output: 2 Example 2: Input: [1,3,5,6], 2 Output: 1 Example 3: Input: [1,3,5,6], 7 Output: 4 Example 4: Input: [1,3,5,6], 0 Output: 0
难度:easy
题目:
给定一个 排序 数组和目标值,如果目标值存在则返回目标值所在的位置,否则返回目标值所在的插入位置。
思路:二叉搜索树。
Runtime: 3 ms, faster than 59.63% of Java online submissions for Search Insert Position.
Memory Usage: 27.1 MB, less than 77.12% of Java online submissions for Search Insert Position.
class Solution {
public int searchInsert(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = left + (right - left) / 2;
if (target == nums[mid]) {
return mid;
}
if (target > nums[mid]) {
left = mid + 1;
} else {
right = mid - 1;
}
}
return left;
}
}
Runtime: 3 ms, faster than 59.63% of Java online submissions for Search Insert Position.
Memory Usage: 28.7 MB, less than 12.43% of Java online submissions for Search Insert Position.
class Solution {
public int searchInsert(int[] nums, int target) {
return binarySearch(nums, 0, nums.length - 1, target);
}
private int binarySearch(int[] nums, int left, int right, int target) {
if (left > right) {
return left;
}
int mid = left + (right - left) / 2;
if (target == nums[mid]) {
return mid;
}
if (target > nums[mid]) {
return binarySearch(nums, mid + 1, right, target);
} else {
return binarySearch(nums, left, mid - 1, target);
}
}
}
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算法概论
Sanjoy Dasgupta、Christos Papadimitriou、Umesh Vazirani / 钱枫 注、邹恒明 注 / 机械工业出版社 / 2009-1 / 55.00元
《算法概论(注释版)》源自加州大学伯克利分校和加州大学圣迭戈分校本科生的算法课讲义,以独特的视角展现了算法设计的精巧技术及魅力。在表达每一种技术时,强调每个算法背后的简洁数学思想,分析其时间和空间效率,运用与其他技术类比的方法来说明特征,并提供了大量实例。《算法概论(注释版)》以人类最古老的算法(算术运算)为起点,将各种算法中优美而有代表性的内容囊括书中,并以最前沿的理论(量子算法)结束,构成了较......一起来看看 《算法概论》 这本书的介绍吧!