'Input symbols' presentation slideshows

Turing Machine

Turing Machine. Turing Machines Recursive and Recursively Enumerable Languages. Turing-Machine Theory. The purpose of the theory of Turing machines is to prove that certain specific languages have no algorithm. Start with a language about Turing machines themselves.

2.43k views • 91 slides

LR Parsing

LR Parsing. LR Parsers. The most powerful shift-reduce parsing (yet efficient) is: LR(k) parsing . left to right right-most k lookhead scanning derivation (k is omitted ? it is 1) LR parsing is attractive because:

2.05k views • 65 slides

Chapter 3

Chapter 3. Chang Chi-Chung 2007.4.12. The Role of the Lexical Analyzer. Token. Lexical Analyzer. Parser. Source Program. getNextToken. error. error. Symbol Table. The Reason for Using the Lexical Analyzer. Simplifies the design of the compiler

770 views • 52 slides

Undecidability

Undecidability. Everything is an Integer Countable and Uncountable Sets Turing Machines Recursive and Recursively Enumerable Languages. Integers, Strings, and Other Things. Data types have become very important as a programming tool.

501 views • 48 slides

Chapter 6 Pushdown automata

643 views • 47 slides

CS311: Computational Theory

610 views • 47 slides

Shifted Codes

Best viewed on-screen in slide-show mode. Shifted Codes. Sachin Agarwal Deutsch Telekom A.G., Laboratories Ernst-Reuter-Platz 7 10587 Berlin Germany. Joint work with Andrew Hagedorn and Ari Trachtenberg at Boston University. Outline. Motivation & Problem Definition Background

470 views • 40 slides

Finite Automata

950 views • 39 slides

Finite Automata

620 views • 39 slides

Model-Based Testing Using Spec Explorer Aditya Mathur Purdue University CS 49000 Software Testing Spring 2011

Model-Based Testing Using Spec Explorer Aditya Mathur Purdue University CS 49000 Software Testing Spring 2011. M aterial extracted mostly from :

492 views • 34 slides

Turing Machines - Chap 8

Turing Machines - Chap 8. Turing Machines Recursive and Recursively Enumerable Languages. Turing-Machine Theory. The purpose of the theory of Turing machines is to prove that certain specific languages have no algorithm. Start with a language about Turing machines themselves.

466 views • 27 slides

FST Morphology

FST Morphology. Miriam Butt October 2002. Based on Beesley and Karttunen 2002. Recap. Last Time: Finite State Automata can model most anything that involes a finite amount of states. We modeled a Coke Machine and saw that it could also be thought of as defining a language.

348 views • 24 slides

Lecture # 4

Lecture # 4. Chapter 1 (Left over Topics) Chapter 3 (continue). Left over Topics of Chapter 1. What is Analysis /Synthesis Model of Compilation? Symbol Table Management Error Detection and Reporting What is meant by grouping of compilation phases into Front End and Back End?

327 views • 22 slides

Models of Computation for Embedded System Design

Models of Computation for Embedded System Design. Alvise Bonivento. Outline. Goals MOCs Discrete Events Dataflow Process Networks Petri Nets Synchronous/Reactive Communicating Synchronous FSM Labeled Transition Systems SDL Process Networks Hybrid Systems CFSM Conclusions. Goals.

372 views • 17 slides

CS310

CS310. Pumping Lemma Sections:1.4 page 77 September 27, 2006. Quick Review. DFA to Regular Expression DFA -> GNFA -> Reduce to 2 state GNFA Regular Expression. R4. (R1(R2)*R3) U R4. R3. R1. Rip this out!. R2. Non-Regular Languages.

111 views • 10 slides

Lossless Compression Multimedia Systems (Module 2)

Lesson 1: Minimum Redundancy Coding based on Information Theory: Shannon-Fano Coding Huffman Coding Lesson 2: Adaptive Coding based on Statistical Modeling : Adaptive Huffman Arithmetic coding Lesson 3: Dictionary-based Coding LZW. Lossless Compression Multimedia Systems (Module 2).

107 views • 10 slides