Sally Dong: Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time
We present a nearly-linear time algorithm for finding a minimum cost flow in planar graphs with polynomially bounded integer costs and capacities. Previously, the fastest algorithm for this problem was based on interior point methods (IPMs) and works for general sparse graphs in O(n^1.5 po
From playlist Workshop: Continuous approaches to discrete optimization
Calculus 1 Lecture 3.7 Part 6: Optimization Problems Using Absolute Maximum and Absolute Minimum
From playlist Calculus 1 Playlist 1
Ex 1: Cost Function Applications - Marginal Cost, Average Cost, Minimum Average Cost
This video explains how several application of the cost function including total cost, marginal cost, average cost, and minimum average cost. The total cost function is a quadratic function. Site: http://mathispower4u.com
From playlist Applications of Differentiation – Maximum/Minimum/Optimization Problems
Solving a Flow Rate Problem With and Without Conditions (No Roads Closed / 1 Road Closed)
This video provides an example on how to solve a flow rate problem.
From playlist Augmented Matrices
How to increase tap water flow
Recently I noticed my bathroom tap water flow is very small. This is a small tweak on how to increase it. Enjoy.
From playlist Everyday How-to
Volume Flow Rate & Mass Flow Rate - Fluid Dynamics Physics Problems
This physics video tutorial provides a basic introduction into mass flow rate and volume flow rate. The mass flow rate is the change in mass per unit time. It is also equal to the product of the fluid density, cross sectional area and the speed of the fluid in a pipe. The volume flow ra
From playlist New Physics Video Playlist
Rico Zenklusen: An O(1)-approximation for minimum spanning tree interdiction
Rico Zenklusen: An O(1)-approximation for minimum spanning tree interdiction Network interdiction studies the maximum impact that a removal of a limited number of edges or vertices can have on a graph optimization problem. Most interdiction problems are NP-hard, and only little is known a
From playlist HIM Lectures 2015
Aaron Sidford: Introduction to interior point methods for discrete optimization, lecture I
Over the past decade interior point methods (IPMs) have played a pivotal role in mul- tiple algorithmic advances. IPMs have been leveraged to obtain improved running times for solving a growing list of both continuous and combinatorial optimization problems including maximum flow, bipartit
From playlist Summer School on modern directions in discrete optimization
Overview of algorithms in Graph Theory
An overview of the computer science algorithms in Graph Theory 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 Previous video (intro): h
From playlist Graph Theory Playlist
Algorithms Course - Graph Theory Tutorial from a Google Engineer
This full course provides a complete introduction to Graph Theory algorithms in computer science. Knowledge of how to create and design excellent algorithms is an essential skill required in becoming a great programmer. You will learn how many important algorithms work. The algorithms are
From playlist Computer Science Concepts
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)
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
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
OCR MEI MwA K: LP Solvers: 17 Interpreting Lindo
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist TEACHING OCR MEI Modelling with Algorithms
Ex 2: Cost Function Applications - Marginal Cost, Average Cost, Minimum Average Cost
This video explains how several application of the cost function including total cost, marginal cost, average cost, and minimum average cost. The total cost function is a quadratic function. Site: http://mathispower4u.com
From playlist Applications of Differentiation – Maximum/Minimum/Optimization Problems