In computer science, join-based tree algorithms are a class of algorithms for self-balancing binary search trees. This framework aims at designing highly-parallelized algorithms for various balanced binary search trees. The algorithmic framework is based on a single operation join. Under this framework, the join operation captures all balancing criteria of different balancing schemes, and all other functions join have generic implementation across different balancing schemes. The join-based algorithms can be applied to at least four balancing schemes: AVL trees, red–black trees, weight-balanced trees and treaps. The join operation takes as input two binary balanced trees and of the same balancing scheme, and a key , and outputs a new balanced binary tree whose in-order traversal is the in-order traversal of , then then the in-order traversal of . In particular, if the trees are search trees, which means that the in-order of the trees maintain a total ordering on keys, it must satisfy the condition that all keys in are smaller than and all keys in are greater than . (Wikipedia).
From playlist Algorithms 1
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
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have discussed binary tree in detail. We have talked about different types of binary tree like "complete binary tree", "perfect binary tree" and "balance
From playlist Data structures
This video introduces rooted trees and how to define the relationships among vertices in a rooted tree. mathispower4u.com
From playlist Graph Theory (Discrete Math)
Introduction to tree algorithms | Graph Theory
An introduction to tree algorithms. This video covers how trees are stored and represented on a computer. Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube: https://www.udemy.com/course/graph-t
From playlist Tree Algorithms
Introduction to Trees (Data Structures & Algorithms #9)
Here is my intro to the tree data structure! And here's another interesting tree problem: https://youtu.be/7HgsS8bRvjo You can download my sample code in Python and Java here: https://www.csdojo.io/tree
From playlist Data Structures and Algorithms
Searching a Tree - 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
Decision Tree for Predictive Modeling - Webinar | Edureka
Know more : http://goo.gl/d95N88
From playlist Decision Tree Modeling Using R
Graph Theory: Shortest Paths - Oxford Mathematics 2nd Year Student Lecture
Like many Universities around the world, Oxford has gone online for lockdown. So how do our student lectures look? Let Marc Lackenby show you as he looks at paths between vertices in a graph with a view to finding the shortest route between any two vertices. Works for your Satnav for examp
From playlist Oxford Mathematics 2nd Year Student Lectures
Content Tree Word Embedding for document representation | AISC
Discussion Lead: Mehran Kamkarhaghighi Facilitators: Masoud Makrehchi For more details including paper and slides, visit https://aisc.a-i.science/events/2019-05-09/
From playlist Natural Language Processing
Data Science Questions & Answers - Interactive Quiz | Data Science Quiz 2022 | Simplilearn
Join the Quiz - at https://www.menti.com with code " 27831695 " and share with us your screenshot of results on youtubecontest@simplilearn.net to win exciting prizes This YouTube live quiz on Data Science will be touching upon the basics of data science and enlighten you with a set of cri
From playlist Simplilearn Live
Reinforcement Learning in the Real World | Paper Analysis
Far from being an academic novelty, reinforcement learning has many real world use cases. In this video we take a look at using reinforcement learning, specifically a version of policy gradient methods known as proximal policy optimization (PPO), to optimize the join ordering for PostgreSQ
From playlist Applications of Reinforcement Learning in the Real World
Interview Questions Asked By Top Companies | Google, Amazon, TCS And Wipro Interview | Simplilearn
🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-f... This video by simplilearn will help you with the most frequently asked interview questions by Top companies around the world like Google, Amazon, TCS, and Wipro. These interview ques
From playlist Interview Questions And Answers | Simplilearn🔥[2022 Updated]
Data Science - Part V - Decision Trees & Random Forests
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of decision tree machine learning algorithms and random forest ensemble techniq
From playlist Data Science
Make A Combination Lock - 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
Nathan Klein: A (Slightly) Improved Approximation Algorithm for Metric TSP
I will describe work in which we obtain a randomized 3/2 − e approximation algorithm for metric TSP, for some e greater than 10^−36. This slightly improves over the classical 3/2 approximation algorithm due to Christodes [1976] and Serdyukov [1978]. Following the approach of Oveis Gharan,
From playlist Workshop: Approximation and Relaxation
Alright, didn't get as far as I wanted, but we got something up and running. -- Watch live at https://www.twitch.tv/simuleios
From playlist Huffman forest
Michal Pilipczuk: Introduction to parameterized algorithms and applications, lecture III
The mini-course will provide a gentle introduction to the area of parameterized complexity, with a particular focus on methods connected to (integer) linear programming. We will start with basic techniques for the design of parameterized algorithms, such as branching, color coding, kerneli
From playlist Summer School on modern directions in discrete optimization
Introduction to Decision Trees | Decision Trees for Machine Learning | Part 1
The decision tree algorithm belongs to the family of supervised learning algorithms. Just like other supervised learning algorithms, decision trees model relationships, and dependencies between the predictive outputs and the input features. As the name suggests, the decision tree algorit
From playlist Introduction to Machine Learning 101