Compute minimal cost to merge numbers
Problem Description
You are given an array of positive integers. Your task is to repeatedly perform the following operation until only one number remains in the array:
- Choose any two numbers,
xandy, from the array. - Pay a cost equal to
x + y. - Remove
xandyfrom the array and insert their sum,x + y, back into the array.
The objective is to compute the minimal possible total cost incurred over all operations until a single number remains.
Requirements
- Algorithm Description: Clearly describe the chosen algorithm.
- Optimality Proof: Provide a proof demonstrating why your algorithm yields the minimal total cost.
- Complexity Analysis: Analyze the time and space complexity of your algorithm.
- Implementation: Implement the algorithm in C++.
- Edge Case Discussion: Discuss how your solution handles edge cases, specifically:
- An array with only one element (
n = 1). - Arrays containing duplicate values.
- Scenarios involving very large integer values that might exceed standard integer types.
- An array with only one element (
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Identifying and proving the optimal greedy strategy for sequential aggregation to minimize cumulative costs, especially when intermediate sums influence future costs.
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Compute minimal cost to merge numbers
Problem Description
You are given an array of positive integers. Your task is to repeatedly perform the following operation until only one number remains in the array:
- Choose any two numbers,
xandy, from the array. - Pay a cost equal to
x + y. - Remove
xandyfrom the array and insert their sum,x + y, back into the array.
The objective is to compute the minimal possible total cost incurred over all operations until a single number remains.
Requirements
- Algorithm Description: Clearly describe the chosen algorithm.
- Optimality Proof: Provide a proof demonstrating why your algorithm yields the minimal total cost.
- Complexity Analysis: Analyze the time and space complexity of your algorithm.
- Implementation: Implement the algorithm in C++.
- Edge Case Discussion: Discuss how your solution handles edge cases, specifically:
- An array with only one element (
n = 1). - Arrays containing duplicate values.
- Scenarios involving very large integer values that might exceed standard integer types.
- An array with only one element (