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Connect Ropes

Logical Breakdown

  • [ ] Subproblem Identification:
  • [ ] Optimal Substructure:
  • [ ] Constraint Handling: (e.g., Modulo \(10^9 + 7\))
  • [ ] Optimization: (Matrix Exponentiation if 'A' is huge)

Mathematical Rigor

State Definition

Let \(dp[i]\) be the state for the \(i\)-th subproblem.

Recurrence Relation

\[ dp[i] = ... \]

Visualization

graph TD A["Current State"] --> B["Previous State 1"] A --> C["Previous State 2"]

Complexity Analysis

Approach Time Complexity Space Complexity
Iterative DP \(O(N)\) \(O(1)\)

Code Reference

package com.dsa.heaps;

/* * ============================================================================================ * PROBLEM: Connect Ropes (Minimum Cost to Connect) * ============================================================================================ * * --------------------- * 1. Problem Description * --------------------- * Given an array A representing lengths of ropes. Connect all ropes into one. * The cost of connecting two ropes of length L1 and L2 is (L1 + L2). * Task: Find the minimum total cost to connect all ropes. * * --------------------- * 2. Logical Breakdown & Mathematical Formulation * --------------------- * This problem is equivalent to building a Huffman Tree. To minimize the total cost, * we must always pick the two shortest ropes available to connect. * * Algorithm: * 1. Initialization: * - Insert all rope lengths from array A into a Min-Priority Queue (Min-Heap). * 2. Iterative Connection: * - While there is more than one rope in the heap: * a. Extract the two smallest elements: min1 and min2. * b. Calculate the connection cost: currentCost = min1 + min2. * c. Add currentCost to the totalCost accumulator. * d. Insert currentCost back into the Min-Heap (it's now a single rope). * 3. Result: * - Return totalCost. * * --------------------- * 3. Constraints & Complexity Analysis * --------------------- * Constraints: * 1 <= A.length <= 10^5 * 1 <= A[i] <= 10^3 * * Time Complexity: * O(N log N) * - Initial heap construction: O(N log N) or O(N). * - (N-1) extractions and insertions: each takes O(log N). * * Space Complexity: * O(N) to store the ropes in the Priority Queue. * ============================================================================================ / public class ConnectRopes { public int solve(int[] A) { // TODO: Implement solution return 0; } }