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Mathematical Analysis of Non Recursive Algorithms by Kushal and Rajeev
 
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Videos creation by students. Kushal and Rajeev Analysis and Design of Algorithm videos by IIIT dwd Students
Views: 2582 IIIT DWD Students
Algorithms Lecture 1 -- Introduction to asymptotic notations
 
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In this video big-oh, big-omega and theta are discussed
Algorithmic Game Theory, Lecture 1 (Introduction)
 
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Lecture 1 of Tim Roughgarden's Algorithmic Game Theory class at Stanford (Autumn 2013) Class description: Topics at the interface of computer science and game theory such as: algorithmic mechanism design; combinatorial auctions; computation of Nash equilibria and relevant complexity theory; congestion and potential games; cost sharing; game theory and the Internet; matching markets; network formation; online learning algorithms; price of anarchy; prior-free auctions; selfish routing; sponsored search.
Predicting Stock Price Mathematically
 
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There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "Mind Math" from Dr. Garg https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18
Views: 145980 Garg University
Lec 1 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
 
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Lecture 01: Administrivia; Introduction; Analysis of Algorithms, Insertion Sort, Mergesort View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 1147325 MIT OpenCourseWare
Algorithms #09 Analysis of Algorithms: Mathematical Models
 
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Algorithms #08 Analysis of Algorithms: Mathematical Models Best Programming Courses @ https://goo.gl/9agXsJ Data Structures and Algorithms Lectures @ https://goo.gl/z69MBq Korean Language for Beginners @ https://goo.gl/0pHET4 Chinese Language Tutorial @ https://goo.gl/YlQs89 How to Learn Anything Faster @ https://goo.gl/S3T463
Views: 256 XOnlineCourses
Mathematical Analysis of non-recursive algorithm
 
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This video is one of my assignment in MCA (3rd sem)....and this is my first video on you tube like this. Sujeet kumar modi 2017mca27
Views: 92 Sujeet Raj
Proof by Mathematical Induction - How to do a Mathematical Induction Proof ( Example 1 )
 
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In this tutorial I show how to do a proof by mathematical induction. Learn Math Tutorials Bookstore http://amzn.to/1HdY8vm Donate http://bit.ly/19AHMvX
Views: 655914 Learn Math Tutorials
Compute The Time Complexity Of The Following Code
 
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Compute the complexity of the following code fragment. Easy Algorithm Analysis Tutorial: https://www.udemy.com/algorithm-analysis/ Recurrence Relation Tutorial: https://www.udemy.com/recurrence-relation-made-easy/ Please subscribe ! Here is an example where you might think the answer should be log n according to the rule of thumb for multiplication/division in loops: https://www.youtube.com/watch?v=13Qb0GUo4Oc&t=25s&list=PLj68PAxAKGoxhAXr-YyjeG9-SyTR5Hm4P&index=27 Here is a pretty simple video on time complexity resulting in O(n): https://www.youtube.com/watch?v=mwAQfKbV51M&t=25s&list=PLj68PAxAKGoxhAXr-YyjeG9-SyTR5Hm4P&index=32 Here is an example of a recurrence relation resulting in O(log n): https://www.youtube.com/watch?v=rrnPp4KmzSI&t=54s&list=PLj68PAxAKGoxhAXr-YyjeG9-SyTR5Hm4P&index=29 Here is a playlist of what I have on algorithm analysis so far: https://www.youtube.com/playlist?list=PLj68PAxAKGoxhAXr-YyjeG9-SyTR5Hm4P ►Website: http://everythingcomputerscience.com/ ►Support this channel on Patreon: https://www.patreon.com/randerson112358 ►Discrete Mathematics Workbooks: (1) Practice Problems in Mathematics - https://www.amazon.com/gp/product/0130458031/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0130458031&linkId=5ec571a3f11c8356c4a977dd95945e21 (2)Discrete Mathematics Workbook - https://www.amazon.com/gp/product/0130463272/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0130463272&linkId=722a147e4912843adb18019b7a08a7e4
Views: 116146 randerson112358
Big O Notation
 
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Learn about Big O notation, an equation that describes how the run time scales with respect to some input variables. This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctci
Views: 558802 HackerRank
Mathematical analysis for non recursive algorithms with constant Lecture_2
 
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Analysis of Algorithms Makeup class, concepts to analysis the algorithm for non recursive nature. This lecture is delivered on the special request of students who are going to attend their MID Term Exams. Syllabus covered in this lecture is Non Recursive Algorithms for Constant Example Mathematical Analysis for Non Recursive Algorithms Mathematical Analysis for Chain Matrix Problem
How MIT students used mathematical thinking to win lotto
 
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mathematical thinking, mit, lottery, gambling, statistics, data, science, odds, winning, play, life, vegas, department
Views: 18800 Edzai Conilias Zvobwo
Using maths to solve the Rubik's Cube
 
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Solving the Rubik's Cube has nothing to do with magic, but everything to do with maths. Associate Professor Burkard Polster from the School of Mathematical Sciences shows you how.
1.8.1 Asymptotic Notations Big Oh - Omega - Theta #1
 
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Asymptotic Notations #1 Big - Oh Omega Theta Buy C++ course on Udemy.com Price: $10.99 (₹750) URL : https://www.udemy.com/cpp-deep-dive/?couponCode=LEARNCPP Course covers All the topics from Basics to Advance level. Every topic is covered in greater detail with suitable examples. Suitable for Academics and Industry
Views: 101096 Abdul Bari
Mathematical Analysis for Recursive Algorithms Lecture_5
 
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Mathematical Analysis for Recursive Algorithms by using substitution method.
Mathematical Algorithms
 
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Views: 10787 Ramsey Perea
Algorithms for Big Data (COMPSCI 229r), Lecture 1
 
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Logistics, course topics, basic tail bounds (Markov, Chebyshev, Chernoff, Bernstein), Morris' algorithm.
Views: 87731 Harvard University
Proof by induction | Sequences, series and induction | Precalculus | Khan Academy
 
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Proving an expression for the sum of all positive integers up to and including n by induction Watch the next lesson: https://www.khanacademy.org/math/precalculus/seq_induction/proof_by_induction/v/alternate-proof-to-induction-for-integer-sum?utm_source=YT&utm_medium=Desc&utm_campaign=Precalculus Missed the previous lesson? https://www.khanacademy.org/math/precalculus/prob_comb/prob_combinatorics_precalc/v/birthday-probability-problem?utm_source=YT&utm_medium=Desc&utm_campaign=Precalculus Precalculus on Khan Academy: You may think that precalculus is simply the course you take before calculus. You would be right, of course, but that definition doesn't mean anything unless you have some knowledge of what calculus is. Let's keep it simple, shall we? Calculus is a conceptual framework which provides systematic techniques for solving problems. These problems are appropriately applicable to analytic geometry and algebra. Therefore....precalculus gives you the background for the mathematical concepts, problems, issues and techniques that appear in calculus, including trigonometry, functions, complex numbers, vectors, matrices, and others. There you have it ladies and gentlemen....an introduction to precalculus! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy’s Precalculus channel: https://www.youtube.com/channel/UCBeHztHRWuVvnlwm20u2hNA?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 803230 Khan Academy
Mathematics of Roulette
 
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Views: 229521 ritvikmath
Advanced Algorithms (COMPSCI 224), Lecture 1
 
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Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at http://people.seas.harvard.edu/~minilek/cs224/fall14/hmwk.html for a corrected analysis of the space complexity of van Emde Boas trees
Views: 2286576 Harvard University
Mathematical Analysis for Recursive Algorithms Tower of Hanoi Lecture_4
 
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Mathematical Analysis for Recursive Algorithms, Mathematical solution for Recursive nature of algorithms. Tower of Hanoi Problem. This Lecture is delivered on the special request of Students who are going to attend their Mid term exams. This lecture covered: - Mathematical Analysis for Recursive Algorithms - Tower of Hanoi
2. Divide & Conquer: Convex Hull, Median Finding
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas introduces divide-and-conquer algorithms and problems that can be solved using divide-and-conquer approaches. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 60273 MIT OpenCourseWare
Appendix A: Analysis of Algorithms I
 
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Course material: https://github.com/DrWaleedAYousef/Teaching
Views: 9479 FCIH OCW
Mathematical Analysis for Non Recursive Algorithms with non constant Lecture_3
 
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Mathematical analysis for non recursive algorithms with using of variable term for unique Element. This Lecture is Delivered on the special request of students for makeup class who are going to attend their Mid Term Exams. Topic Covered in this lecture. Unique Element Problem Algorithms to Equation Conversion Mathematical Analysis for Theta
Stanford Lecture - Don Knuth:  The Analysis of Algorithms
 
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Known as the Father of Algorithms, Professor Donald Knuth, recreates his very first lecture taught at Stanford Univeristy. Professor Knuth is an American computer scientist, mathematician, and professor emeritus at Stanford University.
Views: 925 stanfordonline
3.6 Dijkstra Algorithm - Single Source Shortest Path - Greedy Method
 
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Dijkstra Algorithm for Single Source Shortest Path Procedure Examples Time Complexity Drawbacks Buy C++ course on Udemy.com Price: $10.99 (₹750) URL : https://www.udemy.com/cpp-deep-dive/?couponCode=LEARNCPP Course covers All the topics from Basics to Advance level. Every topic is covered in greater detail with suitable examples. Suitable for Academics and Industry
Views: 297198 Abdul Bari
Mathematical Analysis Part:01
 
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Mathematical analysis is the branch of mathematics dealing with limits and related theories, such as differentiation, integration, measure, infinite series, and analytic functions. These theories are usually studied in the context of real and complex numbers and functions. Analysis evolved from calculus, which involves the elementary concepts and techniques of analysis. Analysis may be distinguished from geometry; however, it can be applied to any space of mathematical objects that has a definition of nearness (a topological space) or specific distances between objects (a metric space).
Views: 51 Tech Bangla Exam
Mathematical analysis of peer to peer communication networks
 
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Newton Institute Web Seminars: newton.ac.uk/webseminars Distributed protocols for peer to peer file sharing, streaming video, and video on demand have revolutionised the way the majority of information is conveyed over the Internet. The peers are millions of computers, acting as both clients and servers, downloading and uploading information. Information to be shared is broken into chunks, and the chunks are traded among peers in the network. There can be turnover in the set of chunks of information being collected and/or in the set of peers collecting the information. Coding, in which groups of chunks are combined to form new chunks, can enhance the collection process. The systems are distributed and scalable. The theory for understanding peer to peer systems has lagged far behind our ability to mathematically model, predict, and optimize system performance. In this talk I shall discuss stochastic models, mathematical results, and challenges relating to the performance of peer to peer communication in large networks.
Views: 13150 Cambridge University
1. Introduction to Poker Theory
 
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MIT 15.S50 Poker Theory and Analysis, IAP 2015 View the complete course: http://ocw.mit.edu/15-S50IAP15 Instructor: Kevin Desmond An overview of the course requirements, expectations, software used for tournaments, advanced techniques, and some basics tools and concepts for the class are discussed in this lecture. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 433412 MIT OpenCourseWare
Intro to Algorithms: Crash Course Computer Science #13
 
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Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something. Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/ CORRECTION: In the pseudocode for selection sort at 3:09, this line: swap array items at index and smallest should be: swap array items at i and smallest Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list... Want to find Crash Course elsewhere on the internet? Facebook - https://www.facebook.com/YouTubeCrash... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 573512 CrashCourse
The History of Mathematics and Its Applications
 
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Join Facebook Group: https://www.facebook.com/groups/majorprep/ Follow MajorPrep on Twitter: https://twitter.com/MajorPrep1 ►Courses Offered Through Coursera (Affiliate Links) Logic: https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fmathematical-thinking Graph Theory: https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fgraphs Discrete Math (includes a range of topics meant for computer scientists including graph theory, number theory, cryptography, etc): https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Fspecializations%2Fdiscrete-mathematics Intro to Complex Analysis: https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fcomplex-analysis Game Theory: https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fgame-theory-1 Cryptography: https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fcrypto ►Books (Affiliate Links) Graph Theory: https://amzn.to/2IUXQ0A Logic/Proofs: https://amzn.to/2Cgh2oj Algorithms: https://amzn.to/2Cg0kWg Cryptography: https://amzn.to/2CKIATS Fermat's Last Theorem: https://amzn.to/2yzWNhY Chaos Theory: https://amzn.to/2Cgup83 ►Related Youtube Videos Turning a Sphere Inside Out: https://www.youtube.com/watch?v=-6g3ZcmjJ7k Cutting a Mobius Strip (Visual): https://www.youtube.com/watch?v=XlQOipIVFPk Group Theory Lectures: https://www.youtube.com/watch?v=O4plQ5ppg9c&index=1&list=PLAvgI3H-gclb_Xy7eTIXkkKt3KlV6gk9_ Chaos Theory Lectures: https://www.youtube.com/watch?v=ycJEoqmQvwg&index=1&list=PLbN57C5Zdl6j_qJA-pARJnKsmROzPnO9V Geodesics Animation: https://www.youtube.com/watch?v=Wl8--BsbNnA ►Support the Channel Patreon: https://patreon.com/majorprep PayPal(one time donation): https://www.paypal.me/majorprep MajorPrep Merch Store: https://teespring.com/stores/majorprep ►Check out the MajorPrep Amazon Store: https://www.amazon.com/shop/majorprep *************************************************** ► For more information on math, science, and engineering majors, check us out at https://majorprep.com Best Ways to Contact Me: Facebook, twitter, or email ([email protected])
Views: 68579 MajorPrep
Big O Notations
 
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Get the Code Here: http://goo.gl/Y3UTH Welcome to my Big O Notations tutorial. Big O notations are used to measure how well a computer algorithm scales as the amount of data involved increases. It isn't however always a measure of speed as you'll see. This is a rough overview of Big O and I hope to simplify it rather than get into all of the complexity. I'll specifically cover the following O(1), O(N), O(N^2), O(log N) and O(N log N). Between the video and code below I hope everything is completely understandable.
Views: 662138 Derek Banas
Analysis of Algorithm : What is Asymptotic Notation ? or Big O notation ?
 
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What is Asymptotic Notation ? http://www.TutorialPort.com Analysis of Algorithm : What is Asymptotic Notation ? or Big O notation ? In mathematics, big O notation describes the limiting behavior of a function when the argument tends towards a particular value or infinity, usually in terms of simpler functions. It is a member of a larger family of notations that is called asymptotic notation. In computer science, big O notation is used to classify algorithms by how they respond (e.g., in their processing time or working space requirements) to changes in input size. In analytic number theory, it is used to estimate the "error committed" while replacing the asymptotic size, or asymptotic mean size, of an arithmetical function, by the value, or mean value, it takes at a large finite argument. A famous example is the problem of estimating the remainder term in the prime number theorem.
Views: 7866 TutorialPort
10. Understanding Program Efficiency, Part 1
 
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MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016 View the complete course: http://ocw.mit.edu/6-0001F16 Instructor: Prof. Eric Grimson In this lecture, Prof. Grimson introduces algorithmic complexity, a rough measure of the efficiency of a program. He then discusses Big "Oh" notation and different complexity classes. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 57036 MIT OpenCourseWare
Find the majority element of an array(includes mathematical analysis)
 
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Given an array of size n, find the majority element. The majority element is the element that appears more than n/2 times.
Views: 69 Richard John
What is Monte Carlo?
 
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Here's a video describing programming magic: Monte Carlo integration! It's a super cool algorithm that is used all the time (in physics at least), so it was good to cover it here. We'll have more algorithms coming up, so be sure to check them out as they come along! Information on the Batman Curve: http://mathworld.wolfram.com/BatmanCurve.html http://math.stackexchange.com/questions/54506/is-this-batman-equation-for-real I also did a small write-up on integrating the Batman Curve: http://leios.github.io/Batman_Montecarlo As always, the simulations were done live on: https://www.twitch.tv/simuleios https://www.youtube.com/channel/UCFf6Ag4GdpEjnEy8M8MB3fg Feel free to follow me on Twitter! https://twitter.com/ The code is available here: https://github.com/leios/simuleios/blob/master/visualization/monte_carlo/monte_carlo_vis.cpp And the music is from Josh Woodward (sped up 1.5 times): https://www.joshwoodward.com/ Thanks for watching! Also, discord: https://discord.gg/Pr2E9S6
Views: 114950 LeiosOS
Lec 1 | MIT 6.042J Mathematics for Computer Science, Fall 2010
 
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Lecture 1: Introduction and Proofs Instructor: Tom Leighton View the complete course: http://ocw.mit.edu/6-042JF10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 849997 MIT OpenCourseWare
Algorithms Lecture 1 Part 1: Mathematical Preliminaries
 
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This lecture is delivered by Professor Michael Rieck, Fundamental mathematical concepts including set theory are discussed. Increasing and decreasing functions are explained. Besides learning algorithms to solve a wide range of practical problems, we will also want to develop a strong sense of how efficient these algorithms are.
Views: 1637 Scholartica Channel
Principal Components Analysis (PCA) Tutorial Part 1/3: Basis
 
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This is the first video in a multipart tutorial on the principal components analysis algorithm. In this video we cover the concept of a basis which is fundamental to understanding PCA.
Views: 16052 algomanic
Space complexity for non-recursive algoirthm
 
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How to determine space complexity for non-recursive algorithms? In this video lecture various example algorithm is taken and space complexity is derived for the same. Previous Video in the series: https://youtu.be/cqu74foCas0 Link to Playlist: https://www.youtube.com/watch?v=kTDto5Y0dbU&list=PLftH_KTPtiBKPAbFwv0srGgzxVZFm65JX Subscribe: https://www.youtube.com/subscription_center?add_user=sunildhimal
Views: 226 Sunil Dhimal
13. Breadth-First Search (BFS)
 
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MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Erik Demaine License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 377268 MIT OpenCourseWare
Lecture: Principal Componenet Analysis (PCA)
 
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The SVD algorithm is used to produce the dominant correlated mode structures in a data matrix.
Views: 79349 AMATH 301
Women in Data Science | Introductions and Welcome
 
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Anna Gilbert, Herman H. Goldstine Collegiate Professor of Mathematics (http://www.math.lsa.umich.edu/~annacg/) opens up introductions and welcomes everyone to the Women in Data Science Conference hosted by MIDAS (http://midas.umich.edu/). Dr. Gilbert’s research interests include mathematical analysis, probability, networking, and algorithms. She is especially interested in randomized algorithms with applications to harmonic analysis, signal and image processing, computer networking, and massive datasets. For more lectures on demand, visit the Alumni Engagement website: http://www.engin.umich.edu/college/info/alumni/professional-dev/lectures
[#1]Assignment Problem|Hungarian Method|Operations Research[Solved Problem using Algorithm]
 
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NOTE: After row and column scanning, If you stuck with more than one zero in the matrix, please do the row scanning and column scanning (REPEATEDLY) as much as possible to cover that zeros with lines, based on algorithm If you still find some zeros without covered by lines, then we need to go for [DIAGONAL selection RULE ]for that I have uploaded a separate video to understand that method easily., please watch this link [ [#2]Assignment Problem||Hungarian Method[DIAGONAL RULE] When we Find More than one Zero ] https://youtu.be/-0DEQmp7B9o ▓▓░───CONTRIBUTION ─░▓▓ If you like this video and wish to support this kauserwise channel, please contribute via, * Paytm a/c : 7401428918 * Western Union / MoneyGram [ Name: Kauser, Country: India & Email: [email protected] ] [Every contribution is encouraging US] Thanks & All the Best!!! ──────────────────── Here is the video about assignment problem - Hungarian method on Operations research, In this video we discussed what is assignment problem and how to solve using Hungarian method with step by step procedure of algorithm, hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls use this: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research
Views: 1337981 Kauser Wise

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