Maximum flow problem

Gradients and flows: Continuous optimization approaches to Maximum Flow Problem – A. Mądry – ICM2018

Mathematical Aspects of Computer Science Invited Lecture 14.1 Gradients and flows: Continuous optimization approaches to the Maximum Flow Problem Aleksander Mądry Abstract: We use the lens of the maximum flow problem, one of the most fundamental problems in algorithmic graph theory, to d

From playlist Mathematical Aspects of Computer Science

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

Critical Path Analysis Part 3: The Max-Flow/Min- Cut Theorem

From playlist Critical Path Analysis

Simple Harmonic Motion Question (2 of 3: Extreme Values)

More resources available at www.misterwootube.com

From playlist Applications of Calculus to Mechanics

Ford-Fulkerson in 5 minutes

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

Maximum/Minimum with Quadratics (1 of 2: Axis of symmetry)

More resources available at www.misterwootube.com

From playlist Applications of Calculus

Aaron Sidford: Unit Capacity Maximum Flow in Almost m^(4/3) Time

The maximum flow problem on unit capacity graphs is a fundamental problem in combinatorial optimization with multiple applications including computing the maximum number of disjoint paths between a pair of vertices in a graph and computing a maximum cardinality matching in a bipartite grap

From playlist Workshop: Continuous approaches to discrete optimization

Calculus: Maximum-Minimum Problems With Two Variables

This video discusses how to find maximum and minimum values of a function of two variables using the second derivative test ("D-test").

From playlist Calculus

How Much WATER Flows?!?

Can You Calculate The MASS Flow Rate Of The Water In This Pipe?!? #Fluid #Mechanics #Engineering #Math #NicholasGKK #Shorts

From playlist Mechanical Engineering

離散数学入門#8: 最大流問題(1)：フローネットワークの基礎知識

早稲田大学の全学部の3〜4年生を対象とする全学オープン科目「離散数学入門」（担当教員：早水 桃子）の授業動画です．文理を問わず，誰でもグラフ理論やグラフアルゴリズムの初歩を学ぶことができます．グラフ理論の定理やグラフに関するアルゴリズムを正しく理解して，現実の諸問題を解決するための応用力を身につけましょう． --------------------------------------------------------------------------------------- ネットワークの始点（ソース）から終点（シンク）に向けて流せる最大の流量を問う「最大流問題」は，

From playlist 離散数学入門Ⅲ

A New Balancing Method for Solving Parametric Max Flow

March 14, 2007 lecture by Bin Zhang for the Stanford University Computer Systems Colloquium (EE 380). A new, simple and fast algorithm finds a sequence of nested minimum cuts of a bipartite parametric flow network. Instead of working with the original parametric flow-network, the new meth

From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)

離散数学入門#9: 最大流問題(2)：増加道アルゴリズムと最大流最小カット定理

早稲田大学の全学部の3〜4年生を対象とする全学オープン科目「離散数学入門」（担当教員：早水 桃子）の授業動画です．文理を問わず，誰でもグラフ理論やグラフアルゴリズムの初歩を学ぶことができます．グラフ理論の定理やグラフに関するアルゴリズムを正しく理解して，現実の諸問題を解決するための応用力を身につけましょう． --------------------------------------------------------------------------------------- 前回の講義では，各アークの容量が規定されたネットワークの始点（ソース）から終点（シンク）に向け

From playlist 離散数学入門Ⅲ

離散数学入門#11: マッチング(2)：最大マッチングを見つける２つの方法

早稲田大学の全学部の3〜4年生を対象とする全学オープン科目「離散数学入門」（担当教員：早水 桃子）の授業動画です．文理を問わず，誰でもグラフ理論やグラフアルゴリズムの初歩を学ぶことができます．グラフ理論の定理やグラフに関するアルゴリズムを正しく理解して，現実の諸問題を解決するための応用力を身につけましょう． --------------------------------------------------------------------------------------- 最大マッチング問題は，なるべく多くのペアをマッチさせるようなマッチングを求める問題です．特に重

From playlist 離散数学入門Ⅳ

Jeff Erickson - Lecture 4 - Two-dimensional computational topology - 21/06/18

School on Low-Dimensional Geometry and Topology: Discrete and Algorithmic Aspects (http://geomschool2018.univ-mlv.fr/) Jeff Erickson (University of Illinois at Urbana-Champaign, USA) Two-dimensional computational topology - Lecture 4 Abstract: This series of lectures will describe recent

From playlist Jeff Erickson - School on Low-Dimensional Geometry and Topology: Discrete and Algorithmic Aspects

Sarah Morell: Single Source Unsplittable Flows with Arc-Wise Lower and Upper Bounds

In a digraph with a source and several destination nodes with associated demands, an unsplittable flow routes each demand along a single path from the common source to its destination. Given some flow x that is not necessarily unsplittable but satisfies all demands, we ask for an unsplitta

From playlist Workshop: Approximation and Relaxation

Unweighted Bipartite Matching | Network Flow | Graph Theory

What is and how to solve the unweighted bipartite graph matching problem 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-theory-algorithms Next video: htt

From playlist Network Flow playlist

Engineering MAE 130A. Intro to Fluid Mechanics. Lecture 12.

UCI Engineering MAE 130A: Intro to Fluid Mechanics (Fall 2013) Lec 12. Intro to Fluid Mechanics View the complete course: http://ocw.uci.edu/courses/engineering_mae_130a_intro_to_fluid_mechanics.html Instructor: Roger Rangel, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://o

From playlist Engineering MAE 130A. Intro to Fluid Mechanics

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