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Posts published in “Algorithms”

花花酱 LeetCode 81. Search in Rotated Sorted Array II

There is an integer array nums sorted in non-decreasing order (not necessarily with distinct values).

Before being passed to your function, nums is rotated at an unknown pivot index k (0 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]] (0-indexed). For example, [0,1,2,4,4,4,5,6,6,7] might be rotated at pivot index 5 and become [4,5,6,6,7,0,1,2,4,4].

Given the array nums after the rotation and an integer target, return true if target is in nums, or false if it is not in nums.

You must decrease the overall operation steps as much as possible.

Example 1:

Input: nums = [2,5,6,0,0,1,2], target = 0
Output: true

Example 2:

Input: nums = [2,5,6,0,0,1,2], target = 3
Output: false

Constraints:

  • 1 <= nums.length <= 5000
  • -104 <= nums[i] <= 104
  • nums is guaranteed to be rotated at some pivot.
  • -104 <= target <= 104

Solution: Binary search or divide and conquer

If current range is ordered, use binary search, Otherwise, divide and conquer.

Time complexity: O(logn) best, O(n) worst
Space complexity: O(logn)

C++

花花酱 LeetCode 152. Maximum Product Subarray

Given an integer array nums, find a contiguous non-empty subarray within the array that has the largest product, and return the product.

It is guaranteed that the answer will fit in a 32-bit integer.

subarray is a contiguous subsequence of the array.

Example 1:

Input: nums = [2,3,-2,4]
Output: 6
Explanation: [2,3] has the largest product 6.

Example 2:

Input: nums = [-2,0,-1]
Output: 0
Explanation: The result cannot be 2, because [-2,-1] is not a subarray.

Constraints:

  • 1 <= nums.length <= 2 * 104
  • -10 <= nums[i] <= 10
  • The product of any prefix or suffix of nums is guaranteed to fit in a 32-bit integer.

Solution: Track high and low

Compute the low / high of prefix product, reset if nums[i] is higher than high or lower than low.

Swap low and high if nums[i] is a negative number.

e.g. [2, 3, -1, 8, -2]
nums[i] = 2, low = 2, high = 2
nums[i] = 3, low = 3, high = 2 * 3 = 6
nums[i] = -1, low = 6 * -1 = -6, high = -1
nums[i] = 8, low = -6 * 8 = -48, high = 8
nums[i] = -2, low = 8*-2 = -16, high = -48 * -2 = 96

Time complexity: O(n)
Space complexity: O(1)

C++

花花酱 LeetCode 2091. Removing Minimum and Maximum From Array

You are given a 0-indexed array of distinct integers nums.

There is an element in nums that has the lowest value and an element that has the highest value. We call them the minimum and maximum respectively. Your goal is to remove both these elements from the array.

deletion is defined as either removing an element from the front of the array or removing an element from the back of the array.

Return the minimum number of deletions it would take to remove both the minimum and maximum element from the array.

Example 1:

Input: nums = [2,10,7,5,4,1,8,6]
Output: 5
Explanation: 
The minimum element in the array is nums[5], which is 1.
The maximum element in the array is nums[1], which is 10.
We can remove both the minimum and maximum by removing 2 elements from the front and 3 elements from the back.
This results in 2 + 3 = 5 deletions, which is the minimum number possible.

Example 2:

Input: nums = [0,-4,19,1,8,-2,-3,5]
Output: 3
Explanation: 
The minimum element in the array is nums[1], which is -4.
The maximum element in the array is nums[2], which is 19.
We can remove both the minimum and maximum by removing 3 elements from the front.
This results in only 3 deletions, which is the minimum number possible.

Example 3:

Input: nums = [101]
Output: 1
Explanation:  
There is only one element in the array, which makes it both the minimum and maximum element.
We can remove it with 1 deletion.

Constraints:

  • 1 <= nums.length <= 105
  • -105 <= nums[i] <= 105
  • The integers in nums are distinct.

Solution: Three ways

There are only three ways to remove min/max elements.
1) Remove front elements
2) Remove back elements
3) Remove one with front elements, and another one with back elements.

Just find the best way to do it.

Time complexity: O(n)
Space complexity: O(1)

C++

花花酱 LeetCode 2089. Find Target Indices After Sorting Array

You are given a 0-indexed integer array nums and a target element target.

target index is an index i such that nums[i] == target.

Return a list of the target indices of nums after sorting nums in non-decreasing order. If there are no target indices, return an empty list. The returned list must be sorted in increasing order.

Example 1:

Input: nums = [1,2,5,2,3], target = 2
Output: [1,2]
Explanation: After sorting, nums is [1,2,2,3,5].
The indices where nums[i] == 2 are 1 and 2.

Example 2:

Input: nums = [1,2,5,2,3], target = 3
Output: [3]
Explanation: After sorting, nums is [1,2,2,3,5].
The index where nums[i] == 3 is 3.

Example 3:

Input: nums = [1,2,5,2,3], target = 5
Output: [4]
Explanation: After sorting, nums is [1,2,2,3,5].
The index where nums[i] == 5 is 4.

Example 4:

Input: nums = [1,2,5,2,3], target = 4
Output: []
Explanation: There are no elements in nums with value 4.

Constraints:

  • 1 <= nums.length <= 100
  • 1 <= nums[i], target <= 100

Solution: Sorting

Time complexity: O(nlogn)
Space complexity: O(1)

C++

花花酱 LeetCode 69. Sqrt(x)

Given a non-negative integer x, compute and return the square root of x.

Since the return type is an integer, the decimal digits are truncated, and only the integer part of the result is returned.

Note: You are not allowed to use any built-in exponent function or operator, such as pow(x, 0.5) or x ** 0.5.

Example 1:

Input: x = 4
Output: 2

Example 2:

Input: x = 8
Output: 2
Explanation: The square root of 8 is 2.82842..., and since the decimal part is truncated, 2 is returned.

Constraints:

  • 0 <= x <= 231 - 1

Solution 1: Binary Search

Find the smallest l such that l * l > x, sqrt(x) = l – 1.

Time complexity: O(logx)
Space complexity: O(1)

C++