BU CS 332 – Theory of Computation Lecture 15: • Undecidable and Unrecognizable Languages Reading: Sipser Ch 4.2, 5.1 • Reductions Mark Bun March 23, 2020 How can we compare sizes of infinite sets? Definition: Two sets have the same size if there is a correspondence (bijection) between them A set is countable if • […]
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Skip to main content  We gratefully acknowledge support from the Simons Foundation and member institutions. arXiv.org > cs > arXiv:1703.03575 Help | Advanced Search All fields Title Author Abstract Comments Journal reference ACM classification MSC classification Report number arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search Computer Science > Data
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BU CS 332 – Theory of Computation Lecture 23: • Savitch’s Theorem • PSPACE‐Completeness • Unconditional Hardness • Course Evaluations Reading: Sipser Ch 8.1‐8.3, 9.1 Mark Bun April 27, 2020 Space analysis Space complexity of a TM (algorithm) = maximum number of tape cell it uses on a worst‐case input Formally: Let ∗ . A
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The Not So Short Introduction to LATEX2ε Or LATEX2ε in 139 minutes by Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 6.3, March 26, 2018 ii Copyright ©1995-2016 Tobias Oetiker and Contributors. All rights reserved. This document is free; you can redistribute it and/or modify it under the terms of the GNU General
PROPERTY TESTING LOWER BOUNDS VIA COMMUNICATION COMPLEXITY Eric Blais, Joshua Brody, and Kevin Matulef February 21, 2012 Abstract. We develop a new technique for proving lower bounds in property testing, by showing a strong connection between testing and communication complexity. We give a simple scheme for reducing com- munication problems to testing problems, thus allowing
CS 591 B1: Communication Complexity, Fall 2019 Course Project Guidelines The course project is an opportunity to perform an in-depth exploration of a topic in communication complexity that interests you. The goals are to gain experience • Independently reading and synthesizing research papers, • Presenting research papers to an audience of your peers, and •
% % To use this as a template for turning in your solutions, change the flag % \inclsolns from 0 to 1. Make sure you include macros.tex in the directory % containing this file. Edit the “author” and “collaborators” fields as % appropriate. Write your solutions where indicated. % \def\inclsolns{0} \documentclass[12pt]{article} \usepackage{fullpage} \usepackage{graphicx} \usepackage{enumerate} \usepackage{comment}
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CS 535: Complexity Theory, Fall 2020 Homework 6 Due: 8:00PM, Friday, October 23, 2020. Reminder. Homework must be typeset with LATEX preferred. Make sure you understand the course collaboration and honesty policy before beginning this assignment. Collaboration is permitted, but you must write the solutions by yourself without assistance. You must also identify your collaborators.
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BU CS 332 – Theory of Computation Lecture 7: • More on CFGs Reading: Sipser Ch 2.1‐2.3 • Pushdown Automata Mark Bun February 12, 2020 Context‐Free Grammar (Formal) A CFG is a 4‐tuple • • • is a finite set of variables is a finite set of terminal symbols (disjoint from ) , • is
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CS 535: Complexity Theory, Fall 2020 Homework 7 Due: 2:00AM, Saturday, November 7, 2020. Reminder. Homework must be typeset with LATEX preferred. Make sure you understand the course collaboration and honesty policy before beginning this assignment. Collaboration is permitted, but you must write the solutions by yourself without assistance. You must also identify your collaborators.
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