'Complexity classes' diaporamas de présentation

Joint work with:

Parallel Computation and Algorithms by Raymond Greenlaw Armstrong Atlantic State University. Joint work with:. Jim Hoover Computer Science Department University of Alberta. Pilar de la Torre Department of Computer Science University of New Hampshire. Alex Schaffer

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New Surprises from Self-Reducibility

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Church, Kolmogorov and von Neumann: Their Legacy Lives in Complexity

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CS21 Decidability and Tractability

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CS151 Complexity Theory

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Analysis of Algorithms

Analysis of Algorithms. Aaron Tan. http://www.comp.nus.edu.sg/~tantc/cs1101.html. Introduction to Analysis of Algorithms. After you have read and studied this chapter, you should be able to Know what is analysis of algorithms (complexity analysis)

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The computational complexity of entanglement detection

The computational complexity of entanglement detection. Patrick Hayden Stanford University. Based on 1211.6120, 1301.4504 and 1308.5788 With Gus Gutoski , Daniel Harlow, Kevin Milner and Mark Wilde. How hard is entanglement detection?.

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Easy and Hard Constraint Ranking in OT

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Introduction Algorithms? Order Analysis of Algorithm Some Mathematical Background

Introduction Algorithms? Order Analysis of Algorithm Some Mathematical Background. What is an algorithm ? Simple, unambiguous, mechanical procedure to carry out some task. Why algorithm instead of program?

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Short Overview of Cryptography (Lecture II)

Short Overview of Cryptography (Lecture II). John C. Mitchell Stanford University. Some philosophy (my opinions). Do something useful with your life Computers can do many things Have fun! Do something that matters Learn something about the problems you solve

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Boris Altshuler Columbia University

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Introduction to Quantum Information Processing QIC 710 / CS 667 / PH 767 / CO 681 / AM 871

Introduction to Quantum Information Processing QIC 710 / CS 667 / PH 767 / CO 681 / AM 871. Lectures 17-19 (2011). Richard Cleve DC 2117 cleve@cs.uwaterloo.ca. Complexity class NP. Complexity classes. Recall:.

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On Local Fixing

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On Local Fixing

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Umans Complexity Theory Lectures

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Lecture 23 Space Complexity of DTM

Lecture 23 Space Complexity of DTM. Space. Space M (x) = # of cell that M visits on the work (storage) tapes during the computation on input x. If M is a multitape DTM, then the work tapes do not include the input tape and the write-only output tape. Space Bound.

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Scott Aaronson (MIT) Based on joint work with John Watrous (U. Waterloo)

Quantum Computing With Closed Timelike Curves. BQP. Scott Aaronson (MIT) Based on joint work with John Watrous (U. Waterloo). PSPACE. Motivation. Ordinary quantum computing too pedestrian. In the past, CTCs have mostly been studied from the perspective of GR.

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Introduction to Computer Science Theory

Introduction to Computer Science Theory. How complex is a program (or algorithm)?. Algorithms is the study of What algorithms can be used to solve common problems? How fast/slow are those algorithms? For example: Binary search on an array of size m takes about log 2 ( m ) steps.

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Complexity

Complexity. 13-1. Hierarchy Theorem. Complexity Andrei Bulatov. Complexity. For a language L over an alphabet ?, we denote the complement of L , the language ?* - L. Definition The class of languages L such that can be solved by a

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Complexity Classes

Complexity Classes. Karl Lieberherr. Source. From http://people.cs.umass.edu/~immerman/descriptive_complexity.html. Polynomial-time Hierarchy. complete. complete. SO. coNP=SO A. NP=SO E. NP intersect coNP. complete. P. Existential second-order logic.

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