Graph families | Graph minor theory
In graph theory, a partial k-tree is a type of graph, defined either as a subgraph of a k-tree or as a graph with treewidth at most k. Many NP-hard combinatorial problems on graphs are solvable in polynomial time when restricted to the partial k-trees, for bounded values of k. (Wikipedia).
Kruskals Algorithm | Kruskals Algorithm For Minimum Spanning Trees | Data Structures | Simplilearn
Don't forget to participate in challenging activity at --:-- This video on Kruskal Algorithm will acquaint you with the theoretical explanation and complete drive-through example for constructing a minimum spanning tree for given graph. This data structure tutorial will acquaint you with c
From playlist Data Structures & Algorithms
This shows a 3d printed mobile produced using shapeways.com. This is joint work with Marco Mahler. This is available at http://shpws.me/nPha.
From playlist 3D printing
Graph Theory: 46. Relation Between Minimun Degree and Subtrees
It is not surprising that a tree of order k is a subgraph of a complete graph of order at least k. Here I'll explain the result that shows for every tree T of order k, any graph with minimum degree at least k-1 will contain a subgraph isomorphic to T. The proof is by induction on the ord
From playlist Graph Theory part-8
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
Kruskal's Algorithm for Minimum Spanning Trees (MST) | Graph Theory
We go over Kruskal's Algorithm, and how it works to find minimum spanning trees (also called minimum weight spanning trees or minimum cost spanning trees). We'll also see two examples of using Kruskal's algorithm to find minimum spanning trees in connected weighted graphs. This algorithm
From playlist Graph Theory
Math for Liberal Studies: Kruskal's Algorithm
In this video, we use Kruskal's algorithm to find a minimum spanning tree for a given graph. For more info, visit the Math for Liberal Studies homepage: http://webspace.ship.edu/jehamb/mls/index.html
From playlist Math for Liberal Studies
Clustering 3: overview of methods
Full lecture: http://bit.ly/K-means In this course we cover 4 different clustering algorithms: K-D trees (part of lecture 9), K-means (this lecture), Gaussian mixture models (lecture 17) and agglomerative clustering (lecture 20).
From playlist K-means Clustering
This shows a 3d printed mobile produced using shapeways.com. This is joint work with Marco Mahler. This is available at http://shpws.me/nPh7.
From playlist 3D printing
Constraint Satisfaction Problems (CSPs) 6 - Beam Search | Stanford CS221: AI (Autumn 2021)
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) https://profiles.stanford.edu/percy-liang Assistant Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021
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
Recent progress in query complexity I & II Part 2 - Pei Wu
Computer Science/Discrete Mathematics Seminar II Topic: Recent progress in query complexity I & II Speaker: Pei Wu Affiliation: Member, School of Mathematics Date: October 12, 2021 The query model is one of the most basic computational models. In contrast to the Turing machine model, f
From playlist Mathematics
Infinite bridges for Rémy's algorithm
Distinguished Visitor Lecture Series Infinite bridges for Rémy's algorithm Steve Evans University of California at Berkeley, USA
From playlist Distinguished Visitors Lecture Series
The Fyodorov-Hiary-Keating Conjecture - Louis-Pierre Arguin
50 Years of Number Theory and Random Matrix Theory Conference Topic: The Fyodorov-Hiary-Keating Conjecture Speaker: Louis-Pierre Arguin Affiliation: City University of New York June 22, 2022 In 2012, Fyodorov, Hiary & Keating and Fyodorov & Keating proposed a series of conjectures descri
From playlist Mathematics
Pablo Linares & Markus Tempelmayr - A tree-free construction of the structure group
We present a new approach to regularity structures, and in particular to the construction of the structure group, which replaces the tree-based framework of Hairer by a more Lie-geometric setting. We consider the space of pairs (a,p), where a is a placeholder for the nonlinearity and p is
From playlist Research Spotlight
Constraint Satisfaction Problems and Probabilistic Combinatorics II - Fotios Illiopoulos
Computer Science/Discrete Mathematics Seminar II Topic: Constraint Satisfaction Problems and Probabilistic Combinatorics II Speaker: Fotios Illiopoulos Affiliation: Member, School of Mathematics Date: November 26, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Factor Graphs 2 - Conditional Independence | Stanford CS221: AI (Autumn 2019)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BklVrc Topics: Beam search, local search, conditional independence, variable elimination Reid Pryzant, PhD Candidate & Head Course Assistant http://onlinehub.stanf
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019
Statistical Rethinking 2022 Lecture 16 - Gaussian Processes
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=uYNzqgU7na4 Music: https://www.youtube.com/watch?v=kXuasY8pDpA Music: https://www.youtube.com/watch?v=eTtTB0nZdL0 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM
From playlist Statistical Rethinking 2022
From playlist k-Nearest Neighbor Algorithm
Factorization-based Sparse Solvers and Preconditions, Lecture 3
Xiaoye Sherry Li's (from Lawrence Berkeley National Laboratory) lecture number three on Factorization-based sparse solves and preconditioners
From playlist Gene Golub SIAM Summer School Videos
