Network flow problem | Combinatorial optimization | Theorems in graph theory
In computer science and optimization theory, the max-flow min-cut theorem states that in a flow network, the maximum amount of flow passing from the source to the sink is equal to the total weight of the edges in a minimum cut, i.e., the smallest total weight of the edges which if removed would disconnect the source from the sink. This is a special case of the duality theorem for linear programs and can be used to derive Menger's theorem and the Kőnig–Egerváry theorem. (Wikipedia).
Max Flow Ford Fulkerson | Network Flow | Graph Theory
Explanation of how to find the maximum flow with the Ford-Fulkerson method Next video: https://youtu.be/Xu8jjJnwvxE Algorithms repository: https://github.com/williamfiset/algorithms#network-flow Video slides: https://github.com/williamfiset/Algorithms/tree/master/slides 0:00 Intro and
From playlist Network Flow playlist
Limits of a Sequence: The Squeeze Theorem
This videos shows how the squeeze theorem can be used to show an infinite sequence converges. http://mathispower4u.yolasite.com/
From playlist Limits
Calculus 1 Lecture 3.1 Part 6: Intervals of Increasing, Decreasing, and Concavity. How to Find Absolute Maximum and Absolute Minimum.
From playlist Calculus 1 Playlist 1
Maximum flow problem - Ford Fulkerson algorithm
To create this video, I used a library for Manim that I have been developing for some months. https://verdianapasqualini.github.io/GraphLibrary/ The developing of ManimGraphLibrary is part of my master thesis in Mathematics for Data Science @ University of Trento, Italy. Summer of Math Exp
From playlist Summer of Math Exposition Youtube Videos
Bernoulli's Equation for Fluid Flow Video in Physics
Bernoulli's Equation for Fluid Flow Video in Physics. Thanks to Jacob Bowman for making this video for my channel!
From playlist Physics
http://mathispower4u.wordpress.com/
From playlist Differentiation Application - Absolute Extrema
13. Incremental Improvement: Max Flow, Min Cut
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas introduces network flow, and the Max Flow, Min Cut algorithm. License: Creative Commons BY-NC-SA More informati
From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015
Idealness of k-wise intersecting families, by Tony Huynh
CMSA Combinatorics Seminar, 6 October 2020
From playlist CMSA Combinatorics Seminar
On the existence of minimal Heegaard splittings - Dan Ketover
Variational Methods in Geometry Seminar Topic: On the existence of minimal Heegaard splittings Speaker: Dan Ketover Affiliation: Princeton University; Member, School of Mathematics Date: Oct 2, 2018 For more video please visit http://video.ias.edu
From playlist Variational Methods in Geometry
Chandra Chekuri: On element connectivity preserving graph simplification
Chandra Chekuri: On element-connectivity preserving graph simplification The notion of element-connectivity has found several important applications in network design and routing problems. We focus on a reduction step that preserves the element-connectivity due to Hind and Oellerman which
From playlist HIM Lectures 2015
Nexus Trimester - Giacomo Como (Lund University)
Resilient control of dynamic flow networks Giacomo Como (Lund University) february 29, 2016 Abstract: This talk focuses on distributed control of dynamical flow networks. These are modeled as dynamical systems derived from mass conservation laws on directed capacitated networks. The flow
From playlist Nexus Trimester - 2016 - Central Workshop
24. Linear Programming and Two-Person Games
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k This lecture focus
From playlist MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
9 3 Random Contraction Algorithm 9 min
From playlist Algorithms 1
The (Counter-Intuitive) Geometry of Cut and Flow Polytopes - Ankur Moitra
Ankur Moitra Massachusetts Institute of Technology; Institute for Advanced Study October 3, 2011 For more videos, visit http://video.ias.edu
From playlist Mathematics
André NEVES - Gromov’s Weyl Law and Denseness of minimal hypersurfaces
Minimal surfaces are ubiquitous in Geometry but they are quite hard to find. For instance, Yau in 1982 conjectured that any 3-manifold admits infinitely many closed minimal surfaces but the best one knows is the existence of at least two. In a different direction, Grom
From playlist Riemannian Geometry Past, Present and Future: an homage to Marcel Berger
A New Perspective on Holographic Entanglement by Matthew Headrick
11 January 2017 to 13 January 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru String theory has come a long way, from its origin in 1970's as a possible model of strong interactions, to the present day where it sheds light not only on the original problem of strong interactions, but
From playlist String Theory: Past and Present
Step by step instructions showing how to run Ford-Fulkerson on a flow network. Sources: 1. http://www.win.tue.nl/~nikhil/courses/2WO08/07NetworkFlowI.pdf LinkedIn: https://www.linkedin.com/in/michael-sambol-076471ba
From playlist Maximum Flow Algos // Michael Sambol