Trees (data structures) | Computer graphics data structures
An implicit k-d tree is a k-d tree defined implicitly above a rectilinear grid. Its split planes' positions and orientations are not given explicitly but implicitly by some recursive splitting-function defined on the hyperrectangles belonging to the tree's nodes. Each inner node's split plane is positioned on a grid plane of the underlying grid, partitioning the node's grid into two subgrids. (Wikipedia).
Binary Tree 4. Object Oriented Implementation in VB.NET
This is the fourth in a series of videos about binary trees. This shows an object oriented implementation of a binary tree in VB.NET. The tree is defined as a class, and its Insert method allows a binary tree to be built by creating node objects from a node class. This binary tree class
From playlist Data Structures
Binary Tree 2. VB.NET procedural code to construct and search a tree
This is the second in a series of videos about binary trees. This demonstrates a procedural implementation of a binary tree in VB.NET. It includes iterative code to construct a binary tree, and similar code to search a binary tree. The tree is represented using 3 array variables, one fo
From playlist Data Structures
How do we know when we have a vertical shift for a exponential function
👉 Learn all about graphing exponential functions. An exponential function is a function whose value increases rapidly. To graph an exponential function, it is usually useful to first graph the parent function (without transformations). This can be done by choosing 2-3 points of the equatio
From playlist How to Graph Exponential Functions | Learn About
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
KD tree algorithm: how it works
[http://bit.ly/k-NN] K-D trees allow us to quickly find approximate nearest neighbours in a (relatively) low-dimensional real-valued space. The algorithm works by recursively partitioning the set of training instances based on a median value of a chosen attribute. When we get a new data in
From playlist Nearest Neighbour Methods
Binary Tree 1. Constructing a tree (algorithm and pseudocode)
This is the first in a series of videos about binary trees. It is an explanation of the dynamic data structure known as the Binary Tree. It describes the way in which a binary tree is constructed, and how it can be represented numerically using a system of left and right pointers. This v
From playlist Data Structures
P. Salberger - Quantitative aspects of rational points on algebraic varieties (part4)
Let X be a subvariety of Pn defined over a number field and N(B) be the number of rational points of height at most B on X. There are then general conjectures of Manin on the asymptotic behaviour of N(B) when B goes to infinity. These conjectures can be studied using the Hardy-Littlewood m
From playlist Ecole d'été 2017 - Géométrie d'Arakelov et applications diophantiennes
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)
Tropical Geometry - Lecture 12 - Geometric Tropicalization | Bernd Sturmfels
Twelve lectures on Tropical Geometry by Bernd Sturmfels (Max Planck Institute for Mathematics in the Sciences | Leipzig, Germany) We recommend supplementing these lectures by reading the book "Introduction to Tropical Geometry" (Maclagan, Sturmfels - 2015 - American Mathematical Society)
From playlist Twelve Lectures on Tropical Geometry by Bernd Sturmfels
Michael Drmota: Vertex degrees in planar maps
Abstract: We consider the family of rooted planar maps MΩ where the vertex degrees belong to a (possibly infinite) set of positive integers Ω. Using a classical bijection with mobiles and some refined analytic tools in order to deal with the systems of equations that arise, we recover a un
From playlist Probability and Statistics
Lionel Mason (University of Oxford) - From Twistors to Gravitational Scattering (2/2)
This lecture will obtain a compact twistor formula for the full tree-level gravitational S-matrix beyond the self-dual sector. It uses an extension of the complex geometry of twistor space of the previous lecture. In the final formula, all integrations are saturated against delta functio
From playlist Balzan Lectures
Machine Learning Spark Tutorial | GraphX Spark Tutorial | Machine Learning Tutorial | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=MachineLearningSparkTutorialAug23&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https
From playlist Big Data Hadoop Tutorial Videos | Simplilearn [2022 Updated]
The Astonishing Implicit Function Theorem
Video about the Implicit Function Theorem (multivariable calculus topic). Despite being a topic from multivariable calculus, the content here is designed to be accessible to any people who have taken at least one course of single variable calculus. #math #multivariablecalculus #SoME2 #3b1b
From playlist Summer of Math Exposition 2 videos
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 This session focuses on preparing for the quiz. High-level concepts are
From playlist MIT 6.006 Introduction to Algorithms, Spring 2020
Graph Theory 37. Which Graphs are Trees
A proof that a graph of order n is a tree if and only if it is has no cycle and has n-1 edges. An introduction to Graph Theory by Dr. Sarada Herke. Related Videos: http://youtu.be/QFQlxtz7f6g - Graph Theory: 36. Definition of a Tree http://youtu.be/Yon2ndGQU5s - Graph Theory: 38. Three
From playlist Graph Theory part-7
Short proofs are hard to find (joint work w/ Toni Pitassi and Hao Wei) - Ian Mertz
Computer Science/Discrete Mathematics Seminar II Topic: Short proofs are hard to find (joint work w/ Toni Pitassi and Hao Wei) Speaker: Ian Mertz Affiliation: University of Toronto Date: December 5, 2017 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Stanford CS229M - Lecture 17: Implicit regularization effect of the noise
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: https://web.stanford.edu/class/stats214/ To view all online courses and programs offered by Stanford, visit: http://onli
From playlist Stanford CS229M: Machine Learning Theory - Fall 2021
Everything you wanted to know about machine learning but didn't know whom to ask - Sanjeev Arora
Members' Seminar Topic: Everything you wanted to know about machine learning but didn't know whom to ask Speaker: Sanjeev Arora Affiliation: Princeton University; Visiting Professor, School of Mathematics Date: November 27, 2017 For more videos, please visit http://video.ias.edu
From playlist Mathematics
KS5 - Exponential Graphs & Exponential Modelling
"Graphs of exponential functions, including y = e^(ax+b) + c. Modelling of exponential growth and decay."
From playlist KS5 - Logs & Logarithms
