'Theoretical computer science' presentation slideshows

The full Steiner tree problem

The full Steiner tree problem. Theoretical Computer Science 306 (2003) 55-67 C. L. Lu, C. Y. Tang, R. C. T. Lee. Reporter: Cheng-Chung Li 2004/06/28. Outline. Definition of Steiner tree. Approximation Algorithms. Define of full Steiner tree. A greedy approximation algorithms.

886 views • 61 slides

628 views • 44 slides

Introduction to Logic

Introduction to Logic. Sections 1.1 and 1.2 of Rosen Fall 2008 CSCE 235 Introduction to Discrete Structures cse235@cse.unl.edu. Introduction: Logic?. We will study Propositional Logic (PL) First-Order Logic (FOL) Logic is the study of the logic relationships between objects and

2.68k views • 41 slides

The Birth of Model Checking

The Birth of Model Checking. Edmund M. Clarke Department of Computer Science Carnegie Mellon University. Quote For The Day. When the time is ripe for certain things, these things appear in different places in the manner of violets coming to light in early spring.

544 views • 41 slides

The Birth of Model Checking

The Birth of Model Checking. Edmund M. Clarke Department of Computer Science Carnegie Mellon University. Quote For The Day. When the time is ripe for certain things, these things appear in different places in the manner of violets coming to light in early spring.

543 views • 41 slides

Charles University in Prague Faculty of Mathematics and Physics

510 views • 40 slides

Theoretical Computer Science Algorithms and Complexity

Theoretical Computer Science Algorithms and Complexity. Chris Umans. Algorithms. Systems and Software Design and Implementation. Theoretical Computer Science. Computability and Complexity. Theory. Theoretical Computer Science. At the heart of computer programs lie algorithms

516 views • 36 slides

Demystifying the Hoopla Around Computer Science and Common Core Mathematics Standards

Demystifying the Hoopla Around Computer Science and Common Core Mathematics Standards. Julie Tonsing -Meyer & Kian L. Pokorny McKendree University METC 2013 February 12. Background Information. How many offer Computer Science courses?

700 views • 35 slides

Definitions of R&D, innovation and S&T activities

501 views • 31 slides

The NP class. NP-completeness

The NP class. NP-completeness. The NP-class.

435 views • 31 slides

A simple linear algorithm for computing rectilinear 3-centers

A simple linear algorithm for computing rectilinear 3-centers. Michael Hoffmann Computational Geometry 31(2005)150-165. Reporter: Lincong Fang Nov 3,2005. Outline. About the author Problem statement Previous works One-dimensional 3-centers Planar rectilinear 3-centers

412 views • 30 slides

531 views • 26 slides

CSCI 1900 Discrete Structures

CSCI 1900 Discrete Structures. Sequences Reading: Kolman, Section 1.3. Sequence. A sequence is a list of objects arranged in a definite order Difference between set and sequence A set has no order and no duplicated elements A sequence has a specific order and elements may be duplicated

641 views • 25 slides

Simon Algorithm

Simon Algorithm. String matching algorithms and automata SIMON I. 1st American Workshop on String Processing, pp 151-157(1993). Advisor: Prof. R. C. T. Lee Speaker: C. W. Lu. String matching problem Given a text string T of length n and a pattern string P of length m .

616 views • 24 slides

Smith Algorithm

Smith Algorithm. Experiments with a very fast substring search algorithm, SMITH P.D., Software - Practice & Experience 21(10), 1991, pp. 1065-1074. . Adviser: R. C. T. Lee Speaker: C. W. Cheng National Chi Nan University. Problem Definition.

372 views • 22 slides

Generating random regular graphs

Generating random regular graphs. J.H. Kim (Microsoft) V. Vu (UCSD).

612 views • 19 slides

CPS 196.2

298 views • 16 slides

Horspool Algorithm

Horspool Algorithm. Source : Practical fast searching in strings R. NIGEL HORSPOOL Advisor: Prof. R. C. T. Lee Speaker: H. M. Chen. Text. Pattern. Definition of String Matching Problem.

772 views • 16 slides

COMPSAc 2012 Panel 2 Software Testing, Software Quality and Trust in Software-Based Systems

COMPSAc 2012 Panel 2 Software Testing, Software Quality and Trust in Software-Based Systems. POSITION STATEMENT Can Testing Prove Software Has No Bug ?. Hong Zhu Department of Computing and Communication Technologies Oxford Brookes University, Oxford OX33 1HX, UK

333 views • 12 slides

Lecture S1: Sample Lecture

183 views • 6 slides