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Flash and JavaScript are required for this feature. About this Video Playlist Transcript Lecture Notes Download this Video Description: This lecture introduces dynamic programming, in which careful exhaustive search can be used to design polynomial-time algorithms.

Instructor: Erik Demaine. Lecture 1: Algorithmic Thin Lecture 2: Models of Comput Lecture 3: Insertion Sort, Lecture 4: Heaps and Heap Sort. Lecture 5: Binary Search Tr Image courtesy of MIT Press.

## Lecture 6: k-nearest neighbors - MIT OpenCourseWare - Ebooks and Edocuments Library

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.

- 6.046J / 18.410J Introduction to Algorithms (SMA 5503);
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Staff Instructors: Prof. Erik Demaine Prof. Is there anything can be done about this problem?

Select, playback devices, click on speaker or mic, and select the properties. The low volume on this vid is rather disappointing. I would have expected more from MIT.

## How hard would you say MIT OpenCourseWare is?

All of the other vids are proper volume. Why is this one off?

- MIT J / J Introduction to Algorithms - Fall - VideoLectures - kypuhujefi.tk?
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They should re-do the volume and put the video back so it's just like all the others. Come on MIT Sign in. Switch off the lights.