- published: 24 May 2017
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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...
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
Lecture Series on Data Structures and Algorithms by Computer education for all covers Introduction to Algorithms and its Types, Classifications and Specifications in Data Structures and Applications. A data structure is an arrangement of data in a computer's memory or even disk storage. An example of several common data structures are arrays, linked lists, queues, stacks, binary trees, and hash tables. Algorithms, on the other hand, are used to manipulate the data contained in these data structures as in searching and sorting. An Algorithm is step by step procedure for solving a problem. Algorithms are often used in many real life problems. In Computer science, Algorithms has a special meaning. It is defined to have these features. Many algorithms apply directly to a specific data struct...
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Introduction to control structures in algorithms, sequence, selection and repetition. and how to write them in pseudocode and flowcharts
In this video big-oh, big-omega and theta are discussed
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MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
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Lecture 02: Asymptotic Notation | Recurrences | Substitution, Master Method 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
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Srini Devadas License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Professor Charles E. Leiserson discusses the latest edition of the Introduction to Algorithms textbook: 1) Why do a new edition? 2) What's new in the 3rd edition? 3) What did each author focus on, and how did they work together? 4) What's in the Multithreaded Algorithms section? In addition to answering the questions, Charles makes a decent case for why algorithms are both fun and important :)