Pattern Matching - Correctness
Learn how to use pattern matching to assist you in your determination of correctness. This video contains two examples, one with feedback and one without. https://teacher.desmos.com/activitybuilder/custom/6066725595e2513dc3958333
From playlist Pattern Matching with Computation Layer
We are given a bipartite graph where each vertex has a strict preference list ranking its neighbors. A matching M is stable if there is no unmatched pair ab, so that a and b both prefer each other to their partners in M. A matching M is popular if there is no matching M' such that the num
From playlist HIM Lectures 2015
D1 Q1 June 2013 (Replacement) Edexcel Maths A-Level
Powered by https://www.numerise.com/ D1 Q1 June 2013 (Replacement) Edexcel Maths A-Level
From playlist Decision Maths 1 June 2013 (Replacement) Edexcel
Matchings, Perfect Matchings, Maximum Matchings, and More! | Independent Edge Sets, Graph Theory
What are matchings, perfect matchings, complete matchings, maximal matchings, maximum matchings, and independent edge sets in graph theory? We'll be answering that great number of questions in today's graph theory video lesson! A matching in a graph is a set of edges with no common end-ve
From playlist Graph Theory
Pattern Matching - Being Flexible
As your patterns become more complex you'll need to build patterns that can match expressions with different but similar forms. Activity Link: https://teacher.desmos.com/activitybuilder/custom/60626999811e664d596ece18
From playlist Pattern Matching with Computation Layer
AQA Decision 1 6.02 Bipartite Graphs and the Alternating Path Algorithm
I introduce the alternating path algorithm to find a complete matching for a bipartite graph.
From playlist [OLD SPEC] TEACHING AQA DECISION 1 (D1)
Proof: Regular Bipartite Graph has a Perfect Matching | Graph Theory
An r-regular bipartite graph, with r at least 1, will always have a perfect matching. We prove this result about bipartite matchings in today's graph theory video lesson using Hall's marriage theorem for bipartite matchings. Recall that a perfect matching is a matching that covers every ve
From playlist Graph Theory
Sometimes you need to nest a pattern in another pattern. Learn how to build these patterns and then extract information from them. https://teacher.desmos.com/activitybuilder/custom/605e21d90925ca0c93fabbbd
From playlist Pattern Matching with Computation Layer
Line of Best Fit (1 of 2: Overview)
More resources available at www.misterwootube.com
From playlist Bivariate Data Analysis
Sliced Partial Optimal Transport - Bonneel - Workshop 1 - CEB T1 2019
Bonneel (CNRS) / 07.02.2019 Sliced Partial Optimal Transport Sliced optimal transport is a blazing fast way to compute a notion of optimal transport between uniform measures supported on point clouds via 1-d projections. However, it requires these point clouds to have the same cardinali
From playlist 2019 - T1 - The Mathematics of Imaging
DIRECT 2021 02 Dynamic Time Warping
DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is the introduction by Michael Pyrcz (co-principal investigator). Join the consortium for access to all graduat
From playlist DIRECT Consortium, The University of Texas at Austin
riding every amusement park ride in the shortest possible time
#SoME2 #maths #computerscience Have you ever wanted to optimize your route through an amusement park so that you hit every single ride in the shortest time possible? In this video we go over a famous problem in optimization in mathematics and computer science, the Traveling Salesman Pro
From playlist Summer of Math Exposition 2 videos
Nexus Trimester - Sudipto Guha (University of Pennsylvania)
Convex Programming in Small Space Sudipto Guha (University of Pennsylvania) March 09, 2016 Abstract: I plan to talk about solving convex programs in small space - focusing on applications in streaming algorithms and distributed computing, in problems such as maximum matching and correlati
From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester
Niles Weed :Weak limits for entropic optimal transport I
CONFERENCE Recording during the thematic meeting : "Meeting in Mathematical Statistics " the December 16, 2022 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Jean Petit Find this video and other talks given by worldwide mathematicians on CIRM's Au
From playlist Probability and Statistics
Decision Making and Inference Under Model Misspecification by Jose Blanchet
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Creating Accurate Abstract Models
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Tune abstract SimPowerSystems™ models to produce simulation results that match results from detailed simulation. Use optimization algorithms to automate tuning process.To L
From playlist More Electrical Aircraft in SimPowerSystems
Joseph Chow: "Design of cyberphysical autonomous mobility platforms"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Design of cyberphysical autonomous mobility platforms" Joseph Chow - New York University Abstract: One of the early markets for autonomous vehicl
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Optimal Transport Methods and Applications to Statistics and... (Lecture 2) by Jose Blanchet
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
R9. Approximation Algorithms: Traveling Salesman Problem
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Amartya Shankha Biswas In this recitation, problems related to approximation algorithms are discussed, namely the traveling salesman problem. License: Creative Com
From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015