Range Sum
The range sum problem involves finding the sum of numbers in a given range. For example, given an array, we may want to find the sum of elements between indices i and j.
Java example:
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C++ example:
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Python example:
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The key steps are:
Initialize a sum variable
Loop through the given range, adding each element to the sum
Return the final sum
This allows efficiently finding the sum of a slice or range of a numeric array.
Range Sum is a computational problem where you’re given a list (or array) of numbers, and you need to find the sum of the numbers within a specific range (subarray) defined by its starting and ending indices. This problem can be encountered in various contexts and can be solved using different techniques.
Simple Approach
A simple approach to finding the range sum is to iterate over the elements within the given range and sum them up. This approach takes O(n) time complexity for each query, where n is the length of the range.
Python Example
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Using Precomputation (Prefix Sum Array)
A more efficient way to find range sums is to use precomputation, specifically by creating a prefix sum array. The prefix sum array stores the sum of the elements from the beginning of the original array up to each index. With this precomputed array, you can find the sum of any range in constant time O(1).
Python Example with Prefix Sum Array
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Key Takeaways
- Range Sum is a problem of finding the sum of elements within a specific range in an array.
- The naive approach iterates over the range, taking O(n) time for each query.
- Using a precomputed prefix sum array, the range sum can be found in constant time O(1), making it a highly efficient solution for handling multiple range sum queries.