The chase is a simple fixed-point algorithm testing and enforcing implication of data dependencies in database systems. It plays important roles in database theory as well as in practice.It is used, directly or indirectly, on an everyday basis by people who design databases, and it is used in commercial systems to reason about the consistency and correctness of a data design. New applications of the chase in meta-data management and data exchange are still being discovered. The chase has its origins in two seminal papers of 1979, one by Alfred V. Aho, , and Jeffrey D. Ullman and the other by David Maier, Alberto O. Mendelzon, and Yehoshua Sagiv. In its simplest application the chase is used for testing whether the projection of a relation schema constrained by some functional dependencies onto a given decomposition can be recovered by rejoining the projections. Let t be a tuple in where R is a relation and F is a set of functional dependencies (FD). If tuples in R are represented as t1, ..., tk, the join of the projections of each ti should agree with t on where i = 1, 2, ..., k. If ti is not on , the value is unknown. The chase can be done by drawing a tableau (which is the same formalism used in ). Suppose R has attributes A, B, ... and components of t are a, b, .... For ti use the same letter as t in the components that are in Si but subscript the letter with i if the component is not in Si. Then, ti will agree with t if it is in Si and will have a unique value otherwise. The chase process is confluent. There exist implementations of the chase algorithm, some of them are also open-source. (Wikipedia).
Greedy Algorithm | What Is Greedy Algorithm? | Introduction To Greedy Algorithms | Simplilearn
This video on the Greedy Algorithm will acquaint you with all the fundamentals of greedy programming paradigm. In this tutorial, you will learn 'What Is Greedy Algorithm?' with the help of suitable examples. And finally, you will also discover few important applications of greedy algorithm
From playlist Data Structures & Algorithms [2022 Updated]
Discrete Math - 3.1.3 Sorting Algorithms
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From playlist Discrete Math I (Entire Course)
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From playlist Searching and Sorting Algorithms
Searching a Tree - 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
Build a Heap - 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
#shorts An algorithm is a mathematical method of solving problems both big and small. #engineeringlexicon #algoritm #engineering #problem #mathematics Join our YouTube channel by clicking here: https://bit.ly/3asNo2n Find us on Instagram: https://bit.ly/3PM21xW Find us on Facebook: https
From playlist Engineering Lexicon
Set Chasing, with an application to online shortest path - Sébastien Bubeck
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From playlist Mathematics
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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
Sebastian Bubeck: Chasing small sets
I will present an approach based on mirror descent (with a time-varying multiscale entropy functional) to chase small sets in arbitrary metric spaces. This could in particular resolve the randomized competitive ratio of the layered graph traversal problem introduced by Papadimitriou and Ya
From playlist Workshop: Continuous approaches to discrete optimization
Rosalind Cameron - Surrounding cops and robber: a vertex-pursuit game
Rosalind Cameron (University of Canterbury) presents “Surrounding cops and robber: a vertex-pursuit game”, 17 February 2021 (CMSA Combinatorics Seminar).
From playlist CMSA Combinatorics Seminar
SEO in 2020: It Hasn’t Changed (Much)
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From playlist Big SEO Tutorials (for Google SEO)
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
Paola Boito: Topics in structured linear algebra - lecture 1
CIRM VIRTUAL EVENT Recorded during the meeting "French Computer Algebra Days" the March 01, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audio
From playlist Virtual Conference
eevBLAB #37 - Youtube Copyright Trolls
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From playlist EEVblab
Player of Games: All the games, one algorithm! (w/ author Martin Schmid)
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From playlist Papers Explained
eurucamp 2015 - Humanising Math and Physics on Computer Science by Hanneli Tavante
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From playlist eurucamp 2015
Sylvia Herbert: "Scalability for Hamilton-Jacobi Reachability Analysis: Decomposition, Warm-Star..."
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From playlist High Dimensional Hamilton-Jacobi PDEs 2020
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#3B1B #SoMe2 This is my submission for this year's SoME, SoME2!! I hope you enjoy, and please feel free to leave any comments. Any feedback is hugely appreciated~! ーーーーーーーーーーーーーーーーーーーーーーー Time Stamps: 00:00 Intro 00:37 Introduction to Algorithms 03:47 Exploring Algorithms - Binary Searc
From playlist Summer of Math Exposition 2 videos
Summary and Legacy of the Smartphone Decimeter Challenge (SDC) 2022 | Kaggle
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From playlist Google Smartphone Decimeter Challenge '22 Winner's Solutions | Kaggle Competitions
What Is An Algorithm? | What Exactly Is Algorithm? | Algorithm Basics Explained | Simplilearn
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From playlist Data Structures & Algorithms [2022 Updated]