In computer science, comparator networks are abstract devices built up of a fixed number of "wires", carrying values, and comparator modules that connect pairs of wires, swapping the values on the wires if they are not in a desired order. Such networks are typically designed to perform sorting on fixed numbers of values, in which case they are called sorting networks. Sorting networks differ from general comparison sorts in that they are not capable of handling arbitrarily large inputs, and in that their sequence of comparisons is set in advance, regardless of the outcome of previous comparisons. In order to sort larger amounts of inputs, new sorting networks must be constructed. This independence of comparison sequences is useful for parallel execution and for implementation in hardware. Despite the simplicity of sorting nets, their theory is surprisingly deep and complex. Sorting networks were first studied circa 1954 by Armstrong, Nelson and O'Connor, who subsequently patented the idea. Sorting networks can be implemented either in hardware or in software. Donald Knuth describes how the comparators for binary integers can be implemented as simple, three-state electronic devices. Batcher, in 1968, suggested using them to construct switching networks for computer hardware, replacing both buses and the faster, but more expensive, crossbar switches. Since the 2000s, sorting nets (especially bitonic mergesort) are used by the GPGPU community for constructing sorting algorithms to run on graphics processing units. (Wikipedia).
Discrete Math - 3.1.3 Sorting Algorithms
Bubble sort and insertion sort algorithms. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
Heap Sort - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
This is the first in a series of videos about the merge sort. It describes the principle of the merge sort algorithm, which takes a ‘divide and conquer’ approach to the problem of sorting and unordered list. The videos that follow build on these principles, leading towards a recursive im
From playlist Sorting Algorithms
Get the Code Here: http://goo.gl/O8184l Welcome to my Java sort algorithm tutorial. Here I will cover all of the elementary sorting algorithms : Bubble, Selection and Insertion sort. I also created a new method we can use to analyze the arrays so we can learn how the sorts work. I want t
From playlist Java Algorithms
working on the worst sorting algorithm ever! -- Watch live at https://www.twitch.tv/simuleios
From playlist worst sort
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
Grid Network - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org
From playlist The Internet
Introduction to SNA. Lecture 1. Introduction to Network Science
Lecture slides: http://www.leonidzhukov.net/hse/2015/sna/lectures/lecture1.pdf Introduction to network science. Examples.
From playlist Introduction to SNA
Christian Kuehn (7/25/22): Dynamical Systems for Deep Neural Networks
Abstract: In this talk, I am going to explain several approaches to explain the geometry and dynamics of neural networks. First, I will show, why neural networks should always be viewed within the framework of dynamical systems. Then I am going to show how to employ rigorous validated comp
From playlist Applied Geometry for Data Sciences 2022
Lec 10 | MIT 6.033 Computer System Engineering, Spring 2005
Layering and Link Layer View the complete course at: http://ocw.mit.edu/6-033S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.033 Computer System Engineering, Spring 2005
Анализ сетевых структур - лекция 1
Лектор - Жуков Леонид Евгеньевич
From playlist Network Science. Module 1, 2019
Lec 9 | MIT 6.033 Computer System Engineering, Spring 2005
Introduction to Networks View the complete course at: http://ocw.mit.edu/6-033S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.033 Computer System Engineering, Spring 2005
Jana Kosecka: "Perception and Learning for Autonomous Driving" (Part 1/2)
Watch part 2/2 here: https://youtu.be/hEiGNopcGRY Mathematical Challenges and Opportunities for Autonomous Vehicles Tutorials 2020 "Perception and Learning for Autonomous Driving" (Part 1/2) Jana Kosecka - George Mason University Institute for Pure and Applied Mathematics, UCLA Septembe
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Physics of functional networks - Henrik Ronellenfitsch
Workshop on Topology: Identifying Order in Complex Systems Topic: Physics of functional networks Speaker: Henrik Ronellenfitsch Affiliation: Williams College Date: March 19, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Social network analysis - Introduction to structural thinking: Dr Bernie Hogan, University of Oxford
Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can observe and often analyse links at a scale that far outpaces what was possible only decades ago. While this prompts new methodologies,
From playlist Data science classes
Nexus trimester - Michael Langberg (SUNY at Buffalo)
A reductionist view of network information theory Michael Langberg (SUNY at Buffalo) February 08, 2016 Abstract: The network information theory literature includes beautiful results describing codes and performance limits for many different networks. While common tools and themes are evi
From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme
C Programming: Sorting and searching arrays of structs
In this session we learn how to sort an array of structs, then search it using the built-in binary search (bsearch) function.
From playlist C Programming