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1
Introduction
2
Definition
3
Example
4
Dynamic Programming
5
Approximation
6
Sublinear Time
7
Distance
8
Results
9
Comparison
10
Simple Algorithm
11
Linear Algorithm
12
Possible Matching Shift
13
Period Shift
14
Keylemma
15
Challenges
16
Main Theorem
Description:
Explore the concept of gap edit distance and its sublinear algorithms in this 21-minute IEEE conference talk. Delve into the topic with speakers Elazar Goldenberg, Robert Krauthgamer, and Barna Saha as they cover key aspects such as dynamic programming, approximation techniques, and sublinear time complexity. Learn about distance results, compare simple and linear algorithms, and understand the challenges associated with possible matching shifts and period shifts. Gain insights into the keylemmata and main theorem that underpin this fascinating area of computational theory.

Sublinear Algorithms for Gap Edit Distance

IEEE
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