[Course description] [Announcements] [Lectures] [Assignments] [Reading material]

**Instructor:** Robert
Krauthgamer

**Grader:** Ohad.Trabelsi (at weizmann.ac.il)

**When and where:** Mondays 14:15-16:00, Ziskind Lecture Room
1

**First class: **March 23, 2020

**FGS code:** 20204182

**Syllabus:** The course will cover algorithms whose running
time and/or space requirement is sublinear in the input size. Such
algorithms can view only a small portion of the entire input, but
they are particularly suitable for analyzing massive data sets. In
recent years, this approach has been successfully used in several
areas, including graph theory, linear algebra, combinatorial
optimization, geometry, and string matching.

**Prerequisites:** Basic knowledge of algorithms, probability
and linear algebra at an undergraduate level.

**Webpage:** http://www.wisdom.weizmann.ac.il/~robi/teaching/2020b-SublinearAlgorithms

**
Final:** There will be a take-home exam.

** Previous offerings:**

http://www.wisdom.weizmann.ac.il/~robi/teaching/2016b-SublinearAlgorithms/

- TBA

- 2020-03-23: TBA
- 2020-03-30: TBA
- 2020-04-06: TBA

2020-04-13: no class - 2020-04-20: TBA
- 2020-04-27: TBA
- 2020-05-04: TBA
- 2020-05-11: TBA
- 2020-05-18: TBA
- 2020-05-25: TBA
- 2020-06-01: TBA
- 2020-06-08: TBA
- 2020-06-15: TBA
- 2020-06-22: TBA
- 2020-06-29: TBA
- 2020-07-06: TBA

- TBA

- Data Stream Algorithms, lecture notes by Amit Chakrabarti (2015)
- Data Streams: Algorithms and Applications by S. Muthukrishnan (2005)
- Graph Stream Algorithms: a Survey by Andrew McGregor (2014)
- Sublinear-time algorithms by Artur Czumaj and Christian Sohler (2010)
- Sublinear Time Algorithms by Ronitt Rubinfeld (2006)
- Sketch Techniques for Approximate Query Processing by Graham Cormode (2011)
- The Continuous Distributed Monitoring Model by Graham Cormode (2013)
- Sketching as a Tool for Numerical Linear Algebra by David Woodruff (2014)

- Data Stream Algorithms by Amit Chakrabarti at Dartmouth (2015)
- Algorithms
for Big Data by Jelani Nelson at Harvard (2013)

- Algorithmic Techniques for Massive Data by Alexandr Andoni at Columbia (2015)
- Algorithms for Big Data by Chandra Chekuri at UIUC (2014)
- Sublinear Algorithms by Piotr Indyk and Ronitt Rubinfeld at MIT (2013)
- Sublinear and Streaming Algorithms by Paul Beame at U. of Washington (2014)
- Data Streams Algorithms by Andrew McGregor at UMass (2012)
- Introduction to Property Testing by Oded Goldreich at Weizmann (2015)
- Seminar
on Sublinear Time Algorithms by Ronitt Rubinfeld at Tel
Aviv U. (2016)

- Concentration of Measure for the Analysis of Randomized Algorithms by Dubhashi and Panconesi (errata)
- Concentration by Colin McDiarmid. Probabilistic Methods for Algorithmic Discrete Mathematics, 1998, 1-46