How to Solve Minimum Cost to Merge Stones Leetcode Problem - Interview Coder Guide
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How to Solve Minimum Cost to Merge Stones Problem

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Hard#1042
LeetCode Problem

Minimum Cost to Merge Stones

There are n piles of stones arranged in a row. The ith pile has stones[i] stones. A move consists of merging exactly k consecutive piles into one pile, and the cost of this move is equal to the total ...

ArrayDynamic ProgrammingPrefix Sum

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Problem Breakdown

Understanding the Minimum Cost to Merge Stones Problem

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

Problem Statement

There are n piles of stones arranged in a row. The ith pile has stones[i] stones. A move consists of merging exactly k consecutive piles into one pile, and the cost of this move is equal to the total number of stones in these k piles. Return the minimum cost to merge all piles of stones into one pile. If it is impossible, return -1.

HardProblem #1042
LeetCode

Minimum Cost to Merge Stones

Related Topics
ArrayDynamic ProgrammingPrefix Sum
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Examples

Example 1
INPUT
stones = [3,2,4,1], k = 2
OUTPUT
20
EXPLANATION

We start with [3, 2, 4, 1]. We merge [3, 2] for a cost of 5, and we are left with [5, 4, 1]. We merge [4, 1] for a cost of 5, and we are left with [5, 5]. We merge [5, 5] for a cost of 10, and we are left with [10]. The total cost was 20, and this is the minimum possible.

Example 2
INPUT
stones = [3,2,4,1], k = 3
OUTPUT
-1
EXPLANATION

After any merge operation, there are 2 piles left, and we can't merge anymore. So the task is impossible.

Example 3
INPUT
stones = [3,5,1,2,6], k = 3
OUTPUT
25
EXPLANATION

We start with [3, 5, 1, 2, 6]. We merge [5, 1, 2] for a cost of 8, and we are left with [3, 8, 6]. We merge [3, 8, 6] for a cost of 17, and we are left with [17]. The total cost was 25, and this is the minimum possible.

Constraints

n == stones.length
1 <= n <= 30
1 <= stones[i] <= 100
2 <= k <= 30

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