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Using induction to solve problem 1.11a
 
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Explanation of how mathematical induction can be used to prove the theorem stated in problem 1.11a in Mark Weiss's "Data Structures and Algorithm Analysis in Java".
Views: 17 Matthew Evett
Data Structures And Algorithms - Introduction and Books
 
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Subscribe to my new channel here: https://www.youtube.com/channel/UChvLQbvpw2pfODgOmdS4ZSQ to get Game Development and Computer Programming Tutorials. 1. C++ Programming Tutorial for Beginners: http://www.youtube.com/watch?v=l13hLDuAN6s&list=PLytjVIyAOStqjPEZv23_N1-5WYEHaZ_-S 2. Java Tutorial For Beginners: http://www.youtube.com/watch?v=8F-7uh78hiE&list=PLytjVIyAOSto3YDWS45gi7f6Owh5Qe9AR 3. Unity3D Game Development Tutorials For Beginners: http://www.youtube.com/watch?v=EQNCtXn2yD0&list=PLytjVIyAOStrmmdomGcfgX1OU5kVaFm7d VIDEO DESCRIPTION: In this video i'm going to give you a quick intro about data structures and algorithms and how useful they are.. and then i'm going to tell you about the books which you will need in order to learn data structures and algorithms from scratch.. This two topics are one of the most important topics of computer science, so, if you are serious about being a computer scientist/programmer then this are the things you must master first.. here's a sneak peek from the video.. data structures and algorithms must have books: 1. Introduction to algorithms- C.L.R.S 2. Data structures using c and c++ - Tenenbaum 3. Mastering algorithms in c - Kyle Loudon 4. Data structures and algorithm analysis in c - Mark Allen Weiss 5. Data structures with c - Seymour Lipschutz 6. Data structures and algorithms in Java - Robert Lafore Thank you very much for watching this video, i hope it helped.. stay subscribed to get lots of useful videos, thank you..
Views: 6854 Raja Biswas
Allen Weiss, Ph.D
 
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Views: 471 James Cook
Data Structures And Problem Solving Using Java
 
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Data Structures And Problem Solving Using Java. By Mark Allen Weiss. Data Structures and Problem Solving Using Java tea... http://www.thebookwoods.com/book01/0201549913.html Author of the book in this video: Mark Allen Weiss The book in this video is published by: Addison-Wesley THE MAKER OF THIS VIDEO IS NOT AFFILIATED WITH OR ENDORSED BY THE PUBLISHING COMPANIES OR AUTHORS OF THE BOOK IN THIS VIDEO. ---- DISCLAIMER --- Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. All content in this video and written content are copyrighted to their respective owners. All book covers and art are copyrighted to their respective publishing companies and/or authors. We do not own, nor claim ownership of any images used in this video. All credit for the images or photography go to their rightful owners.
Views: 209 Johan L. Hagen
Lecture - 1 Introduction to Data Structures and Algorithms
 
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Lecture Series on Data Structures and Algorithms by Dr. Naveen Garg, Department of Computer Science & Engineering ,IIT Delhi.
Views: 1652923 nptelhrd
Use forward and backward pass to determine project duration and critical path
 
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Check out http://www.engineer4free.com for more free engineering tutorials and math lessons! Project Management Tutorial: Use forward and backward pass to determine project duration and critical path. Please support my work: PATREON | https://www.patreon.com/Engineer4Free Every dollar is seriously appreciated and enables me to continue making more tutorials
Views: 833186 Engineer4Free
Podcast: Java 9
 
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Vi har laget podcast, hvor temaet er Java 9! I podcasten vil Rustam Mehmandarov, Øystein Molnes, Mads Opheim og Filip Van Laenen gi et innblikk i noe av det som kommer i Java 9 og et knippe av de mest spennende nyvinningene sett fra en Javautviklers ståsted.
Views: 162 Computas AS
Final Year Projects 2015 | Active Learning of Constraints for Semi-Supervised
 
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Views: 392 Clickmyproject
What Matters to Me and Why: Allen Weiss
 
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Allen Weiss is Professor of Marketing in the Marshall School of Business at USC, where he teaches courses on Internet marketing and personal leadership. He is also the co-chair of Mindful USC and a senior teacher at InsightLA, where he has taught mindfulness meditation and an introduction to Buddhist psychology since 2006. He is a graduate from Spirit Rock's Dedicated Practitioner's Program and regularly attends retreats at both Spirit Rock and the Insight Meditation Society. Prior to USC, he was on the faculty at Stanford University, and prior to his academic life, he was a professional musician. He is currently the CEO of MarketingProfs, LLC.
How to use Dijkstra's Algorithm with Code
 
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This is a tutorial on the Dijkstra's algorithm, also known as the single source shortest path algorithm. It is extensively used to solve graph problems. We use an example to understand the algorithm and then walk through the the code. Dijkstra's uses both concepts of Greedy(Finding the next city to pick), and DP(using previously calculated distances). Code: https://algs4.cs.princeton.edu/44sp/DijkstraSP.java.html References: http://www.geeksforgeeks.org/greedy-algorithms-set-6-dijkstras-shortest-path-algorithm/ https://web.engr.oregonstate.edu/~glencora/wiki/uploads/dijkstra-proof.pdf http://math.mit.edu/~rothvoss/18.304.3PM/Presentations/1-Melissa.pdf
Views: 39099 Gaurav Sen
Pattern recognition
 
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Pattern recognition is nearly synonymous with machine learning. This branch of artificial intelligence focuses on the recognition of patterns and regularities in data. In many cases, these patterns are learned from labeled "training" data (supervised learning), but when no labeled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning). The terms pattern recognition, machine learning, data mining and knowledge discovery in databases (KDD) are hard to separate, as they largely overlap in their scope. Machine learning is the common term for supervised learning methods and originates from artificial intelligence, whereas KDD and data mining have a larger focus on unsupervised methods and stronger connection to business use. Pattern recognition has its origins in engineering, and the term is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. In pattern recognition, there may be a higher interest to formalize, explain and visualize the pattern; whereas machine learning traditionally focuses on maximizing the recognition rates. Yet, all of these domains have evolved substantially from their roots in artificial intelligence, engineering and statistics; and have become increasingly similar by integrating developments and ideas from each other. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 674 Audiopedia
Sorting Algorithm | Quick Sort - step by step guide
 
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In this video we will learn about Quick sort algorithm which like Merge sort algorithm uses recursive approach to sort a given unsorted array. In this video I will be showing you Quick sort not in code but in action. Are you ready to know how quick sort works? Quick Sort code link https://www.dyclassroom.com/sorting-algorithm/quick-sort 0:04 Introduction to Quick Sort 0:22 The 3 recursive steps followed in Quick Sort 0:40 Explaining Quick Sort with a simple example 0:55 Initially we take an unsorted array 1:00 We take 3 variables left, right and pivot 1:22 The Quick Sort Rule 4:10 The first pivot is 5 5:50 The second pivot is 4 6:55 The third pivot is 1 7:46 The fourth pivot is 2 8:10 The fifth pivot is 3 8:42 The sixth pivot is 6 8:55 The array is sorted! 9:01 About Quick Sort 9:16 Algorithm of Quick Sort 9:44 Order of Quick Sort You can download the source code from my GitHub repository https://github.com/yusufshakeel/C-Project Complete Playlist https://www.youtube.com/watch?v=vOEN65nm4YU&list=PLG6ePePp5vvYVEjRanyndt7ZSqTzillom Related Videos: Bubble Sort https://www.youtube.com/watch?v=y_Nuui4Qf-k Selection Sort https://www.youtube.com/watch?v=Aq2E47uU2ao Insertion Sort https://www.youtube.com/watch?v=UUswQbT6xQc Merge Sort https://www.youtube.com/watch?v=e5ik2UGjHBk Merging Algorithm https://www.youtube.com/watch?v=2ScKuAH2_vM Pseudo code https://www.youtube.com/watch?v=r1BpraNa2Zc
Views: 611473 Yusuf Shakeel
Binary Search:  Introducing Search Algorithms
 
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In this video, I introduce and analyze the sequential search (linear search) algorithm. Then I introduce the idea of searching "with hints". In the next video, we'll see how these hints arise when we know our list/array is sorted.
Views: 20238 davefeinberg
Interpolation search
 
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Interpolation search is an algorithm for searching for a given key value in an indexed array that has been ordered by the values of the key. It parallels how humans search through a telephone book for a particular name, the key value by which the book's entries are ordered. In each search step it calculates where in the remaining search space the sought item might be, based on the key values at the bounds of the search space and the value of the sought key, usually via a linear interpolation. The key value actually found at this estimated position is then compared to the key value being sought. If it is not equal, then depending on the comparison, the remaining search space is reduced to the part before or after the estimated position. This method will only work if calculations on the size of differences between key values are sensible. By comparison, the binary search always chooses the middle of the remaining search space, discarding one half or the other, again depending on the comparison between the key value found at the estimated position and the key value sought. The remaining search space is reduced to the part before or after the estimated position. The linear search uses equality only as it compares elements one-by-one from the start, ignoring any sorting. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 7577 Audiopedia
Data mining
 
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Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The term is a misnomer, because the goal is the extraction of patterns and knowledge from large amount of data, not the extraction of data itself. It also is a buzzword, and is frequently also applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence, machine learning, and business intelligence. The popular book "Data mining: Practical machine learning tools and techniques with Java" (which covers mostly machine learning material) was originally to be named just "Practical machine learning", and the term "data mining" was only added for marketing reasons. Often the more general terms "(large scale) data analysis", or "analytics" -- or when referring to actual methods, artificial intelligence and machine learning -- are more appropriate. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 1696 Audiopedia
COMP8440 2009 Lecture 01-1 Introduction to Free and Open Source Software
 
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Lecture notes: http://cs.anu.edu.au/student/comp8440/lectures/introduction_to_foss.pdf http://cs.anu.edu.au/courses/COMP8440/lectures.html Note : Attribution-ShareAlike 2.5 Australia (CC BY-SA 2.5 AU) License http://creativecommons.org/licenses/by-sa/2.5/au/
Views: 655 elena31415926
#8 Analyzing Algorithms Using RAM Model of Computation | RAM Model Part 2 [In Hindi]
 
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Subject Name : Design and Analysis of Algorithms (DAA) Topic Name : Analyzing Algorithms Using RAM Model of Computation | RAM Model Part 2 [In Hindi] PART 1 ka link : https://youtu.be/Tm_5BtWJSwg PART 3 ka link : https://youtu.be/uOoQrRI0Dyc Is Video main hum RAM Model ko use krk Algorithms ko Analyze kerna sikh rhe hai Or RAM Model of Computation ko dekh rhe hai.. hum hindi me free notes bhi provide krtey hai uske liye website ka link hai www.fisaddi.com : http://www.fisaddi.com Design of Insertion Sort Algorithms [In Hindi] : https://youtu.be/sWC4_bM8XnY Checking the Correctness of Insertion Sort in Hindi : https://youtu.be/68a0PnbuNGA FisadDi students ko unke subjects main help krti hai aur hindi main complete subjects ki videos or notes free main provide krti hai Follow us on instagram : https://www.instagram.com/fisaddi/ Like us on facebook : https://www.facebook.com/fisaddi/?ref.. Please video ko like, share and subscribe kriye agar apko subject se lekr koi bhi preshani hai toh aap humko sewal kr sektey hai email id : [email protected] Thank You Team FisadDi
Views: 92 FisadDi
CIS 2353 - Lecture 1
 
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Review of Java language, variables, constants, methods, object-oriented programming, overloading and overriding methods, parameters, arguments, and more.
Views: 430 John Baugh
HLS in the World | Tech, Law, and Law Teaching
 
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What should law schools teach law students about technology and innovation? A session titled “Tech, Law and Law Teaching: Developing Impactful Interventions in the Law School Curriculum Around Coding and the Use of Technology” focused specifically on the relationships between law, legal analysis and argument, technology infrastructure and policy, and the writing and understanding of computer code. Clinical Professor Chris Bavitz, managing director of HLS Cyberlaw Clinic, hosted the discussion with panelists Kendrea Albert ‘16, Jack Cushman, Kate Darling, Raj Goyle ‘00, and Mitchel Resnick. Their talk was part of the HLS in the World bicentennial summit which took place at Harvard Law School on Friday, October 27, 2017. Read more: http://200.hls.harvard.edu.
Views: 1144 Harvard Law School
Convolution
 
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In mathematics and, in particular, functional analysis, convolution is a mathematical operation on two functions f and g, producing a third function that is typically viewed as a modified version of one of the original functions, giving the area overlap between the two functions as a function of the amount that one of the original functions is translated. Convolution is similar to cross-correlation. It has applications that include probability, statistics, computer vision, image and signal processing, electrical engineering, and differential equations. The convolution can be defined for functions on groups other than Euclidean space. For example, periodic functions, such as the discrete-time Fourier transform, can be defined on a circle and convolved by periodic convolution. (See row 10 at DTFT#Properties.)  And discrete convolution can be defined for functions on the set of integers. Generalizations of convolution have applications in the field of numerical analysis and numerical linear algebra, and in the design and implementation of finite impulse response filters in signal processing. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 829 Audiopedia
Linear And Differential Cryptanalysis
 
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Views: 9173 Yasodha Shanmugam
Courroie de distribution : Les conseils de nos garagistes / Top Entretien #4  (avec Denis Brogniart)
 
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Souvent ignorée par les automobilistes, la courroie de distribution est pourtant un élément essentiel de la motorisation d'un véhicule. Véritable chef d'orchestre, elle permet de synchroniser plusieurs éléments dans le moteur, en particulier le vilebrequin, la pompe à injection et les arbres à cames. Sans elle, le véhicule ne pourrait tout simplement pas avancer. Il convient donc de faire régulièrement vérifier sa distribution par un garagiste agréé en tenant compte des préconisations du constructeur. La courroie de distribution est l'un des éléments les plus sollicités de votre motorisation. Elle présente à ce titre des risques d'usure importants. Au moindre signe de dysfonctionnement, les garagistes Top Garage sauront déterminer dans les meilleurs délais la cause du problème et remplacer la pièce fautive. Le changement de la courroie est une procédure longue – elle dure en général plus de 4 heures – qui nécessite le recours à des professionnels auto formés et agréés. En utilisant un outillage spécifique, nos garagistes se chargeront du remplacement de votre courroie en respectant les tensions et le montage d'origine. Le cas échéant, ils pourront également remplacer les galets. La fréquence de révision varie en fonction des constructeurs. Elle doit généralement être effectuée tous les 5 ans, ou 150 000 kilomètres, ou après le remplacement d'un joint de culasse ou de la pompe à eau. Pourquoi est-il important de faire vérifier sa distribution ? Une courroie de distribution en bon état garantit le refroidissement de votre moteur et l'alternance des phases d'admission et d'échappement. Devant l'apparition d'un crissement suspect ou la découverte d'une fuite d'huile, il est fortement recommandé de faire appel à l'expertise d'un professionnel de l'automobile. Pour trouver un garage auto à proximité de chez vous, c'est ici : www.top-garage.fr Si vous souhaitez en savoir plus sur la distribution automobile, rendez-vous sur notre page dédiée : www.top-garage.fr/service/distribution
Views: 78629 Top Garage

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