'Transition function' presentation slideshows

Specification

Specification. Outline. Discussion of the term "specification" Types of specifications operational Data Flow Diagrams (Some) UML diagrams Finite State Machines Petri Nets descriptive Entity Relationship Diagrams L ogic-based notations Algebraic notations

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Nondeterministic Finite Automata

Nondeterministic Finite Automata. Nondeterminism Subset Construction e -transitions. Nondeterministic FA. A nondeterministic finite automaton has the ability to be in several states at once.

1.05k views • 72 slides

Survey on Runtime Monitoring based on Formal Specification

Survey on Runtime Monitoring based on Formal Specification. WPE-II Presentation By Usa Sammapun Oct 28, 2005. Software Programs. Car. ATM. Heart Device. Aircraft. Safe Programs ??. Safe Programs. Verification. Security. all-leg-down !walk. leg2-up, leg3-up walk & !fall.

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Lexical Analysis (2 Lectures)

Lexical Analysis (2 Lectures). Overview. Basic Concepts Regular Expressions Language Lexical analysis by hand Regular Languages Tools NFA DFA Scanning tools Lex / Flex / JFlex / ANTLR. Scanning Perspective. Purpose Transform a stream of symbols Into a stream of tokens.

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Design and Analysis of Approximation Algorithms

Design and Analysis of Approximation Algorithms. Ding-Zhu Du. Text Books. Ding-Zhu Du and Ker-I Ko, Design and Analysis of Approximation Algorithms (Lecture Notes). Chapters 1-8. Schedule. Introduction Greedy Strategy Restriction Partition Guillotine Cut Relaxation

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CS 208: Computing Theory

CS 208: Computing Theory. Assoc. Prof. Dr. Brahim Hnich Faculty of Computer Sciences Izmir University of Economics. Automata Theory. Non-Deterministic Finite Sate Machines. What about concatenation?. Theorem : The class of regular languages is closed under the concatenation operation

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Finite Automata

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CS 267 Sources of Parallelism

CS 267 Sources of Parallelism. Kathy Yelick http://www.cs.berkeley.edu/~yelick/cs267. Parallelism and Locality in Simulation. Real world problems have parallelism and locality: Many objects operate independently of others. Objects often depend much more on nearby than distant objects.

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CS151 Complexity Theory

CS151 Complexity Theory. Lecture 2 April 4, 2013. Extended Church-Turing Thesis. consequence of extended Church-Turing Thesis: all reasonable physically realizable models of computation can be efficiently simulated by a TM e.g. multi-tape vs. single tape TM e.g. RAM model. Turing Machines.

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September 16, 2004

September 16, 2004. Introduction to Computer Security Lecture 3 Take Grant Model (Cont) HRU Schematic Protection Model. x. s. ?. ?. I 2. I 1. ?. y. I n. ?. Theorem: Can_share( ? , x , y , G 0 ) (for subjects).

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Modelling Wireless Sensor Networks George J. Milne Computer Science & Software Engineering University of Western Aus

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Introduction to Finite Automata

Introduction to Finite Automata. Languages Deterministic Finite Automata Representations of Automata. Alphabets. An alphabet is any finite set of symbols. Examples : ASCII, Unicode, {0,1} ( binary alphabet ), {a,b,c}. Strings.

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Autonomous Mobile Robots CPE 470/670

Autonomous Mobile Robots CPE 470/670. Lecture 10 Instructor: Monica Nicolescu. Review. The Subsumption Architecture Herbert, Genghis, The Nerd Herd, Tom and Jerry Advantages and dissadvantages Behavior-based control Definitions Principles of behavior-based control

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15-453 FLAC Lecture 19 Turing Machines and Real Life * Reductions

15-453 FLAC Lecture 19 Turing Machines and Real Life * Reductions. Mihai Budiu March 3, 2000. A Turing Machine solves one problem. We must distinguish between The set of all strings A problem (e.g. the language to be accepted) A problem instance (e.g. a word from the language)

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CS 294-8 Consensus Revisited http://www.cs.berkeley.edu/~yelick/294

CS 294-8 Consensus Revisited http://www.cs.berkeley.edu/~yelick/294. Agenda. Consensus overview Classic impossibility proof by FLP: Impossibility of consensus in shared memory with n-1 failures Impossibility of consensus in shared memory with 1 failure

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Regular Expressions (RE)

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Alan Turing

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Chapter 5

Chapter 5. Finite Automata. 5.1 Finite State Automata. Capable of recognizing numerous symbol patterns, the class of regular languages Suitable for pattern - recognition type applications, such as the lexical analyzer of a compiler

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Reinforcement Learning

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Big O Notatation

Big O Notatation. How long will it take? How much memory will it use? Order of Magnitude Notation instance size n f(n) <= c g(n) for all n >= N than, f(n) = O(g(n)) O(n) < O(n log n)<O(n 1/2 )<O(n 2 )<O(2 n ). Satisfiability (SAT). Boolean Expression:

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