📄️ Practice Problems
Here are some practice problems for heaps, divided into topic-wise and difficulty-wise categories.
📄️ Heap Basics
Heaps are commonly used to implement priority queues and ensure efficient retrieval of the minimum or maximum element.
📄️ Heap Operations
Heaps are commonly used to implement priority queues and ensure efficient retrieval of the minimum or maximum element.
📄️ Kth Largest Element
Finding the Kth largest element in an array using a min heap data structure, commonly used in streaming and top-K problems.
📄️ Heap Time Complexity
A comprehensive guide covering the time complexity of various operations associated with binary heaps, including rationale and examples.
📄️ Kth smallest Element
Heaps are commonly used to implement priority queues and ensure efficient retrieval of the minimum or maximum element.
📄️ Merge k Sorted Lists
Heaps are useful for merging multiple sorted lists efficiently and solving problems related to merging sorted sequences.
📄️ Kth Largest Element
Find the Kth largest element in an array using a heap data structure.
📄️ Find Median of a Stream
Heaps provide an efficient way to manage and retrieve median values from a stream of data by balancing two heaps.
📄️ Top K Frequent Elements
Find the top K most frequent elements in an array using a hash map and a heap.