24. Cache-Oblivious Algorithms: Searching & Sorting
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Erik Demaine In this lecture, Professor Demaine continues with cache-oblivious algorithms, including their applications in searching and sorting. License: Creative
From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015
Heap Sort Algorithm | Heap Sort In Data Structure | Heap Sort With Example | Simplilearn
This video is based on Heap sort Algorithm. This heap sort in data structures tutorial makes sure that the heap sort algorithm is explained well and will help the beginners understand the basics of heap sort with examples. The video also covers practical demo for a better learning experien
From playlist Data Structures & Algorithms
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
23. Cache-Oblivious Algorithms: Medians & Matrices
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Erik Demaine In this lecture, Professor Demaine introduces cache-oblivious algorithms. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/te
From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015
15. Cache-Oblivious Algorithms
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf Prof. Shun discusses cache-oblivious algorithms throug
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
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
Lec 9 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
Lecture 9: Cache-Efficient Algorithms II Instructor: John Dong, Saman Amarasinghe, Charles Leiserson View the complete course: http://ocw.mit.edu/6-172F10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.172 Performance Engineering of Software Systems
Heaps Of Fun Solution - 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
Lec 25 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 25: Advanced Topics (cont.) | Discussion of Follow-on Classes 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
From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),
Lec 24 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 24: Advanced Topics (cont.) 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
From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),
Lec 8 | MIT 6.172 Performance Engineering of Software Systems, Fall 2010
Lecture 8: Cache-Efficient Algorithms Instructor: Charles Leiserson View the complete course: http://ocw.mit.edu/6-172F10 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.172 Performance Engineering of Software Systems
Analog vs. Digital Epsilons: Implementation Considerations Considerations for Differential Privacy
A Google TechTalk, presented by Olya Ohrimenko, 2021/11/17 Differential Privacy for ML series.
From playlist Differential Privacy for ML
Expanders and Communication-Avoiding Algorithms - Oded Schwartz
Oded Schwartz Technical University Berlin January 25, 2010 Algorithms spend time on performing arithmetic computations, but often more on moving data, between the levels of a memory hierarchy and between parallel computing entities. Judging by the hardware evolution of the last few decades
From playlist Mathematics
Merge Sort 2 – Towards an Implementation (Split a List)
This is the second in a series of videos about the merge sort. It includes a description of an algorithm and pseudocode for taking an unordered list and splitting it into two separate unordered lists. The videos that follow build on these principles, leading towards a recursive implement
From playlist Sorting Algorithms
14. Caching and Cache-Efficient Algorithms
MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf Prof. Shun discusses associativity in caches, the idea
From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018
9. Cache-Oblivious Structures II
MIT 6.851 Advanced Data Structures, Spring 2012 View the complete course: http://ocw.mit.edu/6-851S12 Instructor: Erik Demaine Memory hierarchy: distribution sweeping via lazy funnelsort; cache-oblivious orthogonal 2D range searching: batched and online License: Creative Commons BY-NC-SA
From playlist MIT 6.851 Advanced Data Structures, Spring 2012
Indexing 3: sparseness and linear merge
Inverted indices are sparse: most of the entries in the list are zero. We store only non-zero values as a set of (docid,frequency) tuples. We use a variant of the linear merge algorithm to find a set of documents matching the query. An integral part of the algorithm is a scoring function,
From playlist IR7 Inverted Indexing
