Heaps (data structures) | Binary trees
A skew heap (or self-adjusting heap) is a heap data structure implemented as a binary tree. Skew heaps are advantageous because of their ability to merge more quickly than binary heaps. In contrast with binary heaps, there are no structural constraints, so there is no guarantee that the height of the tree is logarithmic. Only two conditions must be satisfied: * The general heap order must be enforced * Every operation (add, remove_min, merge) on two skew heaps must be done using a special skew heap merge. A skew heap is a self-adjusting form of a leftist heap which attempts to maintain balance by unconditionally swapping all nodes in the merge path when merging two heaps. (The merge operation is also used when adding and removing values.) With no structural constraints, it may seem that a skew heap would be horribly inefficient. However, amortized complexity analysis can be used to demonstrate that all operations on a skew heap can be done in O(log n).In fact, with denoting the golden ratio, the exact amortized complexity is known to be logφ n (approximately 1.44 log2 n). (Wikipedia).
Heap Sort - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Heap Height - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Build a Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
A demonstration of heaps, heap sort, and a competition with merge-sort. See here https://www.udiprod.com/heap-sort/ a more detailed discussion of the properties of heap sort. Note that the procedures mentioned in the video, "sift-down", "heapify", and "sift-up", may be named differently i
From playlist Animated Scientific Visualizations
Heap Sort Performance Solution - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Build Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Heaps Of Fun - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Binary heaps are very practical data structures used in a variety of algorithms — including graph searching algorithms, compression algorithms, and more. Here, we explore how binary heaps work: what they're used for, how to add new data into them, and how to remove data from them once we'r
From playlist Spanning Tree's Most Recent
Heap Sort Algorithm | Heap Sort In Data Structure | Heap Sort With Example | Simplilearn
This video is based on Heap sort Algorithm. This heap sort in data structures tutorial makes sure that the heap sort algorithm is explained well and will help the beginners understand the basics of heap sort with examples. The video also covers practical demo for a better learning experien
From playlist Data Structures & Algorithms
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf This lecture discusses different means of storage allo
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
MIT 6.006 Introduction to Algorithms, Spring 2020 Instructor: Jason Ku View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY Five example problems are worked. Topics include sequence rotations, dra
From playlist MIT 6.006 Introduction to Algorithms, Spring 2020
Lecture 4: Heaps and Heap Sort
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Srini Devadas License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.006 Introduction to Algorithms, Fall 2011
Changes Expected in Hadoop 3 | Getting to Know Hadoop 3 Alpha | Upcoming Hadoop 3 Features | Edureka
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An introduction to the Go programming language. Assumes knowledge of Javascript. Part of a larger series at http://codeschool.org
From playlist The Go Language
CSE 373 -- Lecture 9, Fall 2020
From playlist CSE 373 -- Fall 2020
RubyConf 2010 - Rubinius - What Have You Done For Me Today? by: Evan Phoenix
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From playlist RubyConf 2010
New Directions in Multiprocessor Synchronization
May 2, 2007 lecture by Maurice Herlihy for the Stanford University Computer Systems Colloquium (EE 380). Maurice talks about transactional memory, a computational model in which threads synchronize by optimistic, lock-free transactions -- this synchronization model promises to alleviate ma
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
Bayesian Statistics: An Introduction
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From playlist Statistical Inference (7 videos)
Heap Height Solution - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms