Computational problems in graph theory | Combinatorial optimization | Approximation algorithms | NP-complete problems
In mathematics, the minimum k-cut, is a combinatorial optimization problem that requires finding a set of edges whose removal would partition the graph to at least k connected components. These edges are referred to as k-cut. The goal is to find the minimum-weight k-cut. This partitioning can have applications in VLSI design, data-mining, finite elements and communication in parallel computing. (Wikipedia).
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From playlist TEMP 1
Find the Minimum and Maximum Usual Values
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From playlist Statistics
#16. Find the Relative Minimum from the Graph
#16. Find the Relative Minimum from the Graph
From playlist College Algebra Final Exam Playlist (Version 2)
Calculus Limits Analytically b9p5
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From playlist Calculus 1
AQA A-Level Further Maths E9-02 Limits: Limit of x^k ln(x) as x tends to 0
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 A-Level Further Maths E9: Limits
Calculus Limits Analytically b9p6
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From playlist Calculus 1
Finding the Class Limits, Width, Midpoints, and Boundaries from a Frequency Table
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From playlist Statistics
Debmalya Panigrahi: Isolating Cuts: A New Tool for Minimum Cut Algorithms
Minimum cut problems are among the most well-studied questions in combinatorial optimization. In this talk, I will introduce a simple but powerful new tool for solving minimum cut problems called the isolating cuts lemma. I will show how this tool can be employed to obtain faster algorithm
From playlist Workshop: Continuous approaches to discrete optimization
Tao Hou (5/13/20): Computing minimal persistent cycles: Polynomial and hard cases
Title: Computing minimal persistent cycles: Polynomial and hard cases Abstract: Persistent cycles, especially the minimal ones, are useful geometric features functioning as augmentations for the intervals in the purely topological persistence diagrams (also termed as barcodes). In our ear
From playlist AATRN 2020
9 4 Analysis of Contraction Algorithm 30 min
From playlist Algorithms 1
Анализ Социальных Сетей. Лекция 8. Разбиение графов
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From playlist Анализ Социальных Сетей. Курс НИУ ВШЭ
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What is vertex connectivity in graph theory? We'll be going over the definition of connectivity and some examples and related concepts in today's video graph theory lesson! The vertex connectivity of a graph is the minimum number of vertices you can delete to disconnect the graph or make
From playlist Graph Theory
#16. Given the Graph of f(x), at what point is the Relative Minimum?
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #16. Given the Graph of f(x), at what point is the Relative Minimum?
From playlist College Algebra Final Exam Review
Metric embeddings, uniform rectifiability, and the Sparsest Cut problem - Robert Young
Members' Seminar Topic: Metric embeddings, uniform rectifiability, and the Sparsest Cut problem Speaker: Robert Young Affiliation: New York University; von Neumann Fellow, School of Mathematics Date: November 2, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Lec 30 | MIT 18.085 Computational Science and Engineering I
Network flows and combinatorics: max flow = min cut A more recent version of this course is available at: http://ocw.mit.edu/18-085f08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.085 Computational Science & Engineering I, Fall 2007
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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)
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From playlist Calculus 3