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Heap: Smallest Range Covering Elements from K Lists |  Construct Target Array With Multiple Sums
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DSA Playlist in C++ - Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums

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DSA Playlist in C++ Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums

Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums Transcript and Lesson Notes

Heap Tree| Priority Queue | Data Structure and Algorithm | 180daysofcode #dsa #heap 1: Smallest Range Covering Elements from K Lists: https://leetcode.com/problems/smallest-range-covering-elements-from-k-lists/descriptio

Quick Summary

Heap Tree| Priority Queue | Data Structure and Algorithm | 180daysofcode #dsa #heap 1: Smallest Range Covering Elements from K Lists: https://leetcode.com/problems/smallest-range-covering-elements-from-k-lists/descriptio

Key Takeaways

  • Review the core idea: Heap Tree| Priority Queue | Data Structure and Algorithm | 180daysofcode #dsa #heap 1: Smallest Range Covering Elements from K Lists: https://leetcode.com/problems/smallest-range-covering-elements-from-k-lists/descriptio
  • Understand how Trees fits into Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums.
  • Understand how Binary Tree fits into Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums.
  • Understand how Complete Binary Tree fits into Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums.
  • Understand how Heap fits into Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums.

Key Concepts

Full Transcript

Heap Tree| Priority Queue | Data Structure and Algorithm | 180daysofcode #dsa #heap 1: Smallest Range Covering Elements from K Lists: https://leetcode.com/problems/smallest-range-covering-elements-from-k-lists/description/ 2: Construct Target Array With Multiple Sums: https://leetcode.com/problems/construct-target-array-with-multiple-sums/description/ Home work sheet: https://drive.google.com/drive/folders/1N9UUtFHRe5a8h1vq3iEVEyvXM5sZDRHv?usp=sharing Join Our Whatsapp Channel: https://whatsapp.com/channel/0029Va6H0tbHVvTbcuT99Y1f 00:00 Introduction 00:32 Problem 1 - Smallest Range Covering all element from K Lists. 25:28 Code Part - Smallest Range Covering all element from K Lists. 40:19 Problem 2 - Construct Target array with multiple sum 1:02:51 Code Part - Construct Target Array with Multiple Sums. 1:13:21 Solving Time Limit Exceed (TLE) in the Code. 1:27:00 Code Part - Solving TLE in the Code 1:29:46 Last Note #180daysofcode #180 hard We are doing 180 days challenge and going to complete the whole course within the duration with quality content on Youtube. I am on the mission to create a tech revolution in our country and in upcoming future we want to create a tech which will create many jobs in India. Video will come on Mon-Fri at 6am in the morning DSA Course for free C++ Free Course Rohit Negi DSA Course C++ Coder Army DSA Course c++ Function in C++ Pointers in C++. Strings Vector Introduction to Recursion connect to me on Instagram: https://rohit978.page.link/insta Linkedin: https://rohit978.page.link/linkedin Telegram: https://rohit978.page.link/telegram

Lesson FAQs

What is Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums about?

Heap Tree| Priority Queue | Data Structure and Algorithm | 180daysofcode #dsa #heap 1: Smallest Range Covering Elements from K Lists: https://leetcode.com/problems/smallest-range-covering-elements-from-k-lists/descriptio

What key concepts are covered in this lesson?

The lesson covers Trees, Binary Tree, Complete Binary Tree, Heap, Max Heap.

What should I learn before Heap: Smallest Range Covering Elements from K Lists | Construct Target Array With Multiple Sums?

Review the previous lessons in DSA Playlist in C++, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: Trees, Binary Tree, Complete Binary Tree, Heap.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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