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# 23. Computational Complexity

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

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## P vs. NP and the Computational Complexity Zoo

Hackerdashery #2 Inspired by the Complexity Zoo wiki: https://complexityzoo.uwaterloo.ca/Complexity_Zoo For more advanced reading, I highly recommend Scott Aa

## 8. NP-Hard and NP-Complete Problems

P vs NP Satisfiability Reduction NP-Hard vs NP-Complete P=NP PATREON : https://www.patreon.com/bePatron?u=20475192 UDEMY CORRECTION: Ignore Spelling Mistakes

## How to: Work at Google — Example Coding/Engineering Interview

Watch our video to see two Google engineers demonstrate a mock interview question. After they code, our engineers highlight best practices for interviewing at G

## 19. Dynamic Programming I: Fibonacci, Shortest Paths

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-

## Science Confirms the Bible

Learn about DNA as evidence for the infinite God, the basics of genetics and natural selection as they relate to biblical “kinds,” the origin of so-called races

## 22. DP IV: Guitar Fingering, Tetris, Super Mario Bros.

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-

## Proof That Computers Can't Do Everything (The Halting Problem)

If you disagree or get confused by this video, read this FAQ: http://www.zutopedia.com/halting_problem.html#faq Click here for a list of my other works: http://

## 3. Insertion Sort, Merge Sort

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

## Lec 1 | MIT 6.042J Mathematics for Computer Science, Fall 2010

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 info

## Lec-24 Traveling Salesman Problem(TSP)

Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel

## R6. AVL Trees

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

## Big Oh Notation (and Omega and Theta)

Data Structures and Algorithms 1.2 - Big Oh notation, Running times.

## 16. Complexity: P, NP, NP-completeness, Reductions

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, Prof

## 7. Counting Sort, Radix Sort, Lower Bounds for Sorting

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-

## 21. DP III: Parenthesization, Edit Distance, Knapsack

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-

## What is complexity theory? (P vs. NP explained visually)

A visual explanation of p vs. np and the difference between polynomial vs exponential growth. Support new content: https://www.patreon.com/artoftheproblem

## 24. Topics in Algorithms Research

MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Erik Demaine, Srini Devadas License: Creative