Dynamic programming | Combinatorics | NP-complete problems | Problems on strings | Polynomial-time problems
The longest common subsequence (LCS) problem is the problem of finding the longest subsequence common to all sequences in a set of sequences (often just two sequences). It differs from the longest common substring problem: unlike substrings, subsequences are not required to occupy consecutive positions within the original sequences. The longest common subsequence problem is a classic computer science problem, the basis of data comparison programs such as the diff utility, and has applications in computational linguistics and bioinformatics. It is also widely used by revision control systems such as Git for reconciling multiple changes made to a revision-controlled collection of files. For example, consider the sequences (ABCD) and (ACBAD). They have 5 length-2 common subsequences: (AB), (AC), (AD), (BD), and (CD); 2 length-3 common subsequences: (ABD) and (ACD); and no longer common subsequences. So (ABD) and (ACD) are their longest common subsequences. (Wikipedia).
Ex 2: Determine the Least Common Multiple Using a Fraction Wall or Rods
This video explains how to determine the least common multiple of two whole numbers using a fraction wall or rods. Site: http://mathispower4u.com
From playlist Factors, LCM, and GCF of Whole Numbers
Ex 1: Determine the Least Common Multiple Using a Fraction Wall or Rods
This video explains how to determine the least common multiple of two whole numbers using a fraction wall or rods. Site: http://mathispower4u.com
From playlist Factors, LCM, and GCF of Whole Numbers
Highest Common Factor & Lowest Common Multiple - GCSE Mathematics
How to find the highest common factor and lowest common multiple (hcf and lcm) of any two numbers using prime factors. ❤️ ❤️ ❤️ Support the channel ❤️ ❤️ ❤️ https://www.youtube.com/channel/UCf89Gd0FuNUdWv8FlSS7lqQ/join
From playlist Number
This video explains how to determine the GCF of integers and expressions. http://mathispower4u.wordpress.com/
From playlist Integers
Being able to find the least common multiple of two numbers is very useful, as it will allow us to add and subtract fractions, and do all kinds of other cool things. One way is to list all the multiples and look at the lists, but this gets tricky as numbers get bigger, so learn a neat tric
From playlist Mathematics (All Of It)
There are a lot more numbers than I thought there were - MegaFavNumbers
A short video detailing my favorite number larger than 1 million! There are so many numbers out there it was hard to choose from, but I’m glad I could participate in the #MegaFavNumbers series
From playlist MegaFavNumbers
This video provides an explanation on how to determine the LCM or least common multiple of two integers. http://www.mathispower4u.com
From playlist Factors, Prime Factors, and Least Common Factors
Highest Common Factors and Lowest Common Multiples | HCF and LCM
Finding highest common factors (HCF) lowest cook multiples (LCM ) using prime factors and Venn diagrams!
From playlist Prime Numbers, HCF and LCM - GCSE 9-1 Maths
Lec 15 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 15: Dynamic Programming, Longest Common Subsequence 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),
16. Dynamic Programming, Part 2: LCS, LIS, Coins
MIT 6.006 Introduction to Algorithms, Spring 2020 Instructor: Erik Demaine View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY This is the second of four lectures on dynamic programming. This int
From playlist MIT 6.006 Introduction to Algorithms, Spring 2020
Longest Common Subsequence Problem Using Dynamic Programming | Data Structures | Simplilearn
This video on Longest Common Subsequence Problem Using Dynamic Programming will acquaint you with a clear understanding of the LCS problem statement and solution implementation. In this Data Structure Tutorial, you will understand why a recursive solution for an LCS problem is not compatib
From playlist Ful Stack Web Development 🔥[2023 Updated]
Using Dynamic Programming to Solve a Real-World Problem! | Build a Startup #5
Solving the text difference problem with dynamic programming and JavaScript! Also, here are the links I mentioned in the video: - Our NEW Discord server: https://csdojo.io/d - Source code: https://csdojo.io/text - My old longest common subsequence video: https://youtu.be/Qf5R-uYQRPk - Bui
From playlist Building a real startup with Python and JavaScript
5 Simple Steps for Solving Dynamic Programming Problems
In this video, we go over five steps that you can use as a framework to solve dynamic programming problems. You will see how these steps are applied to two specific dynamic programming problems: the longest increasing subsequence problem and optimal box stacking. The five steps in order ar
From playlist Problem Solving
Limiting Laws in Some Subsequences Problems by Christian Houdré
PROGRAM : FIRST-PASSAGE PERCOLATION AND RELATED MODELS (HYBRID) ORGANIZERS : Riddhipratim Basu (ICTS-TIFR, India), Jack Hanson (City University of New York, US) and Arjun Krishnan (University of Rochester, US) DATE : 11 July 2022 to 29 July 2022 VENUE : Ramanujan Lecture Hall and online T
From playlist First-Passage Percolation and Related Models 2022 Edited
Lecture 22 - Dynamic Programming - Problem Discussion
This is Lecture 22 of the COMP300E (Programming Challenges) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2009. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/programmingchallenges
From playlist COMP300E - Programming Challenges - 2009 HKUST
Dynamic Programming Crash Course | Advanced Data Structures And Algorithms Tutorial | Simplilearn
🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=DynamicProgrammingCrashCourse-xZKqH7ZcS_Y&utm_medium=DescriptionFF&utm_source=youtube 🔥Caltech Coding Bootcamp (US Only): https://www.
From playlist Data Structures & Algorithms [2022 Updated]
Longest Common Subsequence (Dynamic Programming)
Dynamic Programming Tutorial with Longest Common Subsequence Keywords: Dynamic Programming Longest Common Subsequence Dynamic Programming Tutorial with LCS
From playlist Dynamic Programming Tutorial Series
Richard Stanley - Increasing and decreasing subsequences (2006)
slides for this talk: https://www.mathunion.org/fileadmin/IMU/Videos/ICM2006/tars/stanley2006.pdf ICM Madrid Videos 24.08.2006 Increasing and decreasing subsequences Richard P. Stanley Massachusetts Institute of Technology, Cambridge, USA 24-Aug-06 · 09:00-10:00 h https://www.mathunion.
From playlist Mathematics
ANSWERS 1) 24 2) 36 3) 30 4) 126 5) 252 6) 360 7) 40 8) 60 9) Many possible sets (Ex: 2, 25, 100)
From playlist Numerical Expressions and Factors