How to Solve Split Array Largest Sum Leetcode Problem - Interview Coder Guide
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How to Solve Split Array Largest Sum Problem

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Hard#410
LeetCode Problem

Split Array Largest Sum

Given an integer array nums and an integer k, split nums into k non-empty subarrays such that the largest sum of any subarray is minimized. Return the minimized largest sum of the split. A subarray is...

ArrayBinary SearchDynamic Programming+2 more

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Problem Breakdown

Understanding the Split Array Largest Sum Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

Given an integer array nums and an integer k, split nums into k non-empty subarrays such that the largest sum of any subarray is minimized. Return the minimized largest sum of the split. A subarray is a contiguous part of the array.

HardProblem #410
LeetCode

Split Array Largest Sum

Related Topics
ArrayBinary SearchDynamic ProgrammingGreedyPrefix Sum
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Examples

Example 1
INPUT
nums = [7,2,5,10,8], k = 2
OUTPUT
18
EXPLANATION

There are four ways to split nums into two subarrays. The best way is to split it into [7,2,5] and [10,8], where the largest sum among the two subarrays is only 18.

Example 2
INPUT
nums = [1,2,3,4,5], k = 2
OUTPUT
9
EXPLANATION

There are four ways to split nums into two subarrays. The best way is to split it into [1,2,3] and [4,5], where the largest sum among the two subarrays is only 9.

Constraints

1 <= nums.length <= 1000
0 <= nums[i] <= 106
1 <= k <= min(50, nums.length)

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