Minimum Size Subarray Sum
Explore how to efficiently solve the minimum size subarray sum problem using the sliding window technique. Understand the problem constraints and practice implementing a solution that finds the smallest contiguous subarray with a sum greater than or equal to a target value. This lesson helps you master a common pattern essential for coding interviews.
We'll cover the following...
Statement
Given an array of positive integers, nums, and a positive integer, target, find the minimum length of a contiguous subarray whose sum is greater than or equal to the target. If no such subarray is found, return 0.
Constraints:
-
target -
nums.length -
nums[i]
Examples
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the correct problem:
Minimum Size Subarray Sum
What is the output if the following values are given as input?
nums = [1, 2, 7, 1, 8]
target = 9
3
2
5
1
Figure it out!
We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.
Try it yourself
Implement your solution in the following coding playground:
import java.util.*;class MinimumSubArraySum{public static int minSubArrayLen(int target, int[] nums) {// Replace this placeholder return statement with your codereturn -1;}}