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Maximum Total Reward Using Operations I

Difficulty: Medium


Problem Description

You are given an integer array rewardValues of length n, representing the values of rewards. Initially, your total reward x is 0, and all indices are unmarked. You are allowed to perform the following operation any number of times: Choose an unmarked index i from the range [0, n - 1]. If rewardValues[i] is greater than your current total reward x, then add rewardValues[i] to x, and mark the index i. Return an integer denoting the maximum total reward you can collect by performing the operations optimally.


Key Insights

  • The total reward can only increase if we choose rewards that are greater than the current total reward.
  • The strategy involves selecting rewards in a way that maximizes the total reward.
  • Sorting the rewards helps in easily determining which rewards can be added based on the current total reward.
  • A greedy approach can be applied where we always try to take the next possible maximum reward.

Space and Time Complexity

Time Complexity: O(n log n) due to sorting the array.
Space Complexity: O(1) if we consider the sorting in-place, otherwise O(n) for storing the sorted array.


Solution

To solve the problem, we can use a greedy algorithm approach. We will first sort the rewardValues array in ascending order. Starting from a total reward x initialized to 0, we iterate through the sorted list and add each reward to x only if it is greater than the current x. We also mark the index as used by simply iterating through the sorted list without needing a separate data structure for marking.


Code Solutions

def max_total_reward(rewardValues):
    # Sort the reward values
    rewardValues.sort()
    total_reward = 0

    for reward in rewardValues:
        # Add reward if it is greater than the current total reward
        if reward > total_reward:
            total_reward += reward
            
    return total_reward
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