From 0 to 1 Data Structures & Algorithms in Java - Maximum Element In A Minimum Heap and K Largest Elements In A Stream

From 0 to 1 Data Structures & Algorithms in Java - Maximum Element In A Minimum Heap and K Largest Elements In A Stream

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers the use of heaps in solving programming problems, particularly in interviews. It explains how to find the maximum element in a min heap by focusing on leaf nodes and introduces a method to find the K largest elements in a stream using a min heap. The tutorial provides step-by-step logic and code examples to help understand these concepts.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the algorithm for finding K largest elements in a stream work?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how the heap is updated when a new element is added that is larger than the minimum element.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in maintaining a minimum heap of size K while processing a stream of elements?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the final output of the algorithm after processing all elements in the stream?

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