Leetcode 553: Optimal Division
Given an array of integers, you need to add parentheses in such a way that the division expression evaluates to the maximum possible value. The division must respect the adjacency of integers in the array.
Problem
Approach
Steps
Complexity
Input: The input is an array of integers 'nums'. The adjacent integers will perform the division operation.
Example: Input: nums = [200, 50, 10]
Constraints:
• 1 <= nums.length <= 10
• 2 <= nums[i] <= 1000
Output: Return the corresponding expression with parentheses added optimally, resulting in the maximum evaluated value.
Example: Output: '200/(50/10)'
Constraints:
• The returned expression should not have redundant parentheses.
Goal: The goal is to determine the optimal arrangement of parentheses in the given division expression to maximize the evaluated result.
Steps:
• If the array has only one element, return the number as a string.
• If the array has two elements, return them with a '/' operator.
• For arrays with more than two elements, always add parentheses around all but the first element.
Goal: The input list will have between 1 and 10 integers, and each integer is between 2 and 1000.
Steps:
• 1 <= nums.length <= 10
• 2 <= nums[i] <= 1000
Assumptions:
• The input is valid, and there is always a unique optimal expression.
• Input: Input: nums = [200, 50, 10]
• Explanation: By adding parentheses around (50/10), the expression becomes '200/(50/10)', which gives the maximum value of 40.
Approach: To maximize the result of a division expression, we need to add parentheses in a way that minimizes the divisors in the sequence. This can be done by wrapping the divisions between all but the first number in parentheses.
Observations:
• When dividing numbers, larger numbers should ideally divide smaller ones.
• The expression with the maximum value will involve minimizing the number of divisors in the sequence by grouping all but the first numbers into parentheses.
• By focusing the parentheses around the numbers that need to be divided first, we maximize the value of the expression.
Steps:
• If the array has one element, simply return that element as a string.
• If the array has two elements, return them with a division sign.
• For longer arrays, wrap all elements except the first one in parentheses.
Empty Inputs:
• There are no edge cases with empty inputs, as the array will always have at least one number.
Large Inputs:
• The solution should work efficiently for arrays of size up to 10.
Special Values:
• Ensure that the parentheses are placed optimally, without redundant brackets that do not affect the order of operations.
Constraints:
• The input size is small, and the solution should handle this easily.
string optimalDivision(vector<int>& nums) {
string s = "";
if(nums.size() == 1) return to_string(nums[0]);
if(nums.size() == 2) return to_string(nums[0]) + '/' + to_string(nums[1]);
for(int i = 0; i < nums.size(); i++) {
s += to_string(nums[i]) + "/";
if(i == 0)
s += "(";
}
s[s.size() -1] = ')';
return s;
}
1 : Function Definition
string optimalDivision(vector<int>& nums) {
Defines the function `optimalDivision`, which takes a vector of integers `nums` and returns the optimal division string for them.
2 : String Initialization
string s = "";
Initializes an empty string `s` to build the division result.
3 : Edge Case Handling (Single Element)
if(nums.size() == 1) return to_string(nums[0]);
Checks if the input vector contains only one element. If true, converts the element to a string and returns it as the result.
4 : Edge Case Handling (Two Elements)
if(nums.size() == 2) return to_string(nums[0]) + '/' + to_string(nums[1]);
Handles the case where the input vector contains exactly two elements. Returns a string representing the division of the two elements.
5 : Main Loop (Array Traversal)
for(int i = 0; i < nums.size(); i++) {
Starts a loop to traverse the `nums` array and build the division string.
6 : String Building
s += to_string(nums[i]) + "/";
Appends each number in `nums` followed by a division sign ('/') to the string `s`.
7 : Condition (First Element)
if(i == 0)
Checks if the current index is the first element in the array.
8 : Parentheses Addition
s += "(";
If the current index is 0 (first element), appends an opening parenthesis to the string `s`.
9 : Parentheses Closure
s[s.size() -1] = ')';
Replaces the last division sign with a closing parenthesis to properly close the division string.
10 : Return Statement
return s;
Returns the formatted division string `s`.
Best Case: O(n)
Average Case: O(n)
Worst Case: O(n)
Description: Since we are processing the elements in a linear fashion, the time complexity is O(n).
Best Case: O(n)
Worst Case: O(n)
Description: The space complexity is O(n) because we store the resulting expression as a string.
LeetCode Solutions Library / DSA Sheets / Course Catalog |
---|
comments powered by Disqus