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This PR adds the implementation of the Running Sum of 1D Array problem in Python.
The algorithm computes a running (prefix) sum where each element at index i is the sum of all previous elements up to that index.
Key Details:
Algorithm Used: Prefix Sum
Time Complexity: O(n)
Space Complexity: O(n)
Approach:
Initialize an array ans of the same size as nums.
Set the first element of ans equal to nums[0].
Iterate from the second element onward, updating ans[i] = ans[i-1] + nums[i].
Return the resulting list as the running sum.
Files Added:
running_sum_1d_array.py → Main implementation with docstrings and inline examples.