PPT-Sublinear Algorithmic Tools

Author : tawny-fly | Published Date : 2018-11-09

3 Alex Andoni Plan 2 Dimension reduction Application Numerical Linear Algebra Sketching Application Streaming Application Nearest Neighbor Search and more Dimension

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Sublinear Algorithmic Tools: Transcript

3 Alex Andoni Plan 2 Dimension reduction Application Numerical Linear Algebra Sketching Application Streaming Application Nearest Neighbor Search and more Dimension reduction linear . cornelledu Ping Li Department of Statistics and Biostatistics Department of Computer Science Rutgers University Piscataway NJ 08854 USA pinglistatrutgersedu Abstract We present the 64257rst provably sublinear time hashing algorithm for approximate Ma 897 Algorithmic Introduction to Coding Theory November 25 2002 Lecture 20 Lecturer Madhu Sudan Scribe Amit J Deshpande 1 Overview In this lecture we will see some complexity results for coding problems known ha . and. . Algorithmic Trading. Chapter 2: Constructing charts. Saeed. . Ebrahimijam. Fall. 2014-2015 . . Faculty of Business and Economics. Department of Banking and Finance. . Doğu. . Algorihms. for Big Data. Grigory. . Yaroslavtsev. http://grigory.us. Lecture 1. Part 0: Introduction. Disclaimers. Logistics. Materials. …. Name. Correct:. Grigory. Gregory (easiest and highly recommended!). 1. Decision Procedures. An Algorithmic Point of View. BDDs. Decision Procedures . An algorithmic point of view. 2. Binary . Decision Diagrams. SAT. looked for a . satisfying solution. to CNF. We will now examine a graph-based data structure called . Xiaozhou Li . (. Princeton. ). David G. Andersen (CMU). Michael Kaminsky (Intel Labs). Michael J. Freedman (Princeton). How to build a fast concurrent hash table. a. lgorithm and data structure engineering. Huijia. Lin (USB), . Rafael Pass . (Cornell). Karn. . Seth . (Cornell -> Google). Sid . Telang. (Cornell -> Google). IO. Plethora of Applications. For example: SW14, BCP14, BZ14, GGHR14, BGL. . Algorihms. for Big Data. Grigory. . Yaroslavtsev. http://grigory.us. Lecture 1. Part 0: Introduction. Disclaimers. Logistics. Materials. …. Name. Correct:. Grigory. Gregory (easiest and highly recommended!). Lecture . 10: . Sublinear. Algorithm. Zhu Han. University of Houston. Thanks for Professor Dan Wang’s slides. 1. outline. Motivations. Inequalities and classifications . Examples. Applications. 2. Talya Eden, . Tel Aviv . University. Amit Levi, . University of Waterloo. Dana . Ron, . Tel Aviv . University. C. . Seshadhri. , . UC Santa Cruz. Counting Triangles. Basic graph-theoretic algorithmic . Anna Lauren Hoffmann | UC Berkeley | @. annaeveryday. “. She died. …. because of his butchery. She wept and repeated over and over again, ‘. It is not me, it is not me he is writing about. It’s a distortion. . 2. Alex Andoni. Plan. 2. Dimension reduction. Application: Numerical Linear Algebra. Sketching. Application: Streaming. Application: Nearest Neighbor Search. and more…. Dimension reduction: . linear . David Doty (University of California, Davis). Algorithmic Foundations of Programmable Matter. Dagstuhl. , August 2018. DNA tile self-assembly. monomers (“tiles” made from DNA) bind into a crystal lattice. Block Sparse Fourier Transform. Volkan. . Cevher. Michael . Kapralov. Jonathan Scarlett. Amir . Zandieh. EPFL. 1. Discrete Fourier transform. . . root of unity . Fast Fourier Transform.

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