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DSA Cprogramming~5 mins

Subarray Sum Equals K Using Hash Map in DSA C - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the main idea behind using a hash map to find subarrays with sum equal to k?
We store the cumulative sums and their frequencies in a hash map to quickly find if a subarray with sum k exists by checking if (current_sum - k) has appeared before.
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beginner
Why do we use cumulative sums in the Subarray Sum Equals K problem?
Cumulative sums help us find the sum of any subarray by subtracting two cumulative sums, making it easier to check if a subarray sums to k.
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intermediate
In the hash map approach, what does the key and value represent?
The key is a cumulative sum value, and the value is the count of how many times this cumulative sum has appeared so far.
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intermediate
What is the time complexity of the Subarray Sum Equals K algorithm using a hash map?
The time complexity is O(n) because we traverse the array once and perform constant time hash map operations.
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intermediate
How does the algorithm handle the case when a subarray starts from index 0?
We initialize the hash map with {0:1} to count the empty subarray sum, so if cumulative sum equals k at any point, it counts as a valid subarray starting from index 0.
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What does the hash map store in the Subarray Sum Equals K problem?
AArray elements and their indices
BCumulative sums and their frequencies
CSubarray lengths
DSum of all subarrays
Why do we check if (current_sum - k) exists in the hash map?
ATo count negative numbers
BTo find the maximum subarray length
CTo find if a subarray with sum k ends at the current index
DTo sort the array
What initial value do we put in the hash map before starting the iteration?
A{0:1}
B{k:1}
C{} (empty)
D{sum:0}
What is the time complexity of the hash map solution for Subarray Sum Equals K?
AO(1)
BO(n^2)
CO(log n)
DO(n)
What does the value in the hash map represent?
AFrequency of the cumulative sum
BIndex of the cumulative sum
CSum of subarray
DLength of subarray
Explain how the hash map helps find the number of subarrays that sum to k.
Think about how cumulative sums and their counts relate to subarray sums.
You got /4 concepts.
    Describe the steps to implement the Subarray Sum Equals K algorithm using a hash map.
    Focus on initialization, iteration, and hash map usage.
    You got /5 concepts.