'Element set' diaporamas de présentation

What is Ramsey Theory ?

What is Ramsey Theory ?. What is Ramsey Theory ? It might be described as the study of unavoidable regularity in large structures. Complete disorder is impossible. T. Motzkin. What is Ramsey Theory ? It might be described as the study of unavoidable regularity in large structures.

1.97k views • 178 slides

CSM Week 1: Introductory Cross-Disciplinary Seminar

CSM Week 1: Introductory Cross-Disciplinary Seminar. Combinatorial Enumeration Dave Wagner University of Waterloo. CSM Week 1: Introductory Cross-Disciplinary Seminar. Combinatorial Enumeration Dave Wagner University of Waterloo I. The Lagrange Implicit Function Theorem and

1.16k views • 103 slides

15-251

15-251. Great Theoretical Ideas in Computer Science. Counting I: One-To-One Correspondence and Choice Trees. Lecture 6 (September 10, 2009). If I have 14 teeth on the top and 12 teeth on the bottom, how many teeth do I have in all?. Addition Rule.

925 views • 79 slides

COMPSCI 102

COMPSCI 102. Discrete Mathematics for Computer Science. Counting I: One-To-One Correspondence and Choice Trees. Lecture 6. If I have 14 teeth on the top and 12 teeth on the bottom, how many teeth do I have in all?. Addition Rule. Let A and B be two disjoint finite sets

775 views • 77 slides

COMPSCI 102

COMPSCI 102. Introduction to Discrete Mathematics. Counting I: One-To-One Correspondence and Choice Trees. Lecture 6 (September 17, 2007). If I have 14 teeth on the top and 12 teeth on the bottom, how many teeth do I have in all?. Addition Rule.

772 views • 77 slides

Discrete Structures & Algorithms Counting

Discrete Structures & Algorithms Counting. Counting I: One-To-One Correspondence and Choice Trees. If I have 14 teeth on the top and 12 teeth on the bottom, how many teeth do I have in all?. Addition Rule. Let A and B be two disjoint finite sets

775 views • 77 slides

Metadata Object Description Schema (MODS)

Metadata Object Description Schema (MODS). XML. What is XML? EXtensible Markup Language. XML is a set of rules for defining markup languages and describing data. Why XML? XML is a standard means of delivering structured data via Web applications.

1.27k views • 50 slides

Slicer3 Training Tutorial IA-FEMesh v1.0 Proximal Phalanx Bone

542 views • 33 slides

Pete Johnston UKOLN, University of Bath Bath, BA2 7AY

The MEG Metadata Schemas Registry: Architecture & Data Model MEG Registry Workshop, Bath, 21 January 2003. Pete Johnston UKOLN, University of Bath Bath, BA2 7AY. p.johnston@ukoln.ac.uk http://www.ukoln.ac.uk/. UKOLN is supported by:. MEG Metadata Schemas Registry Architecture & Data Model.

309 views • 30 slides

eGovernance Metadata Model for India

eGovernance Metadata Model for India. Dr. A.R.D. Prasad Documentation Research & Training Centre Indian Statistical Institute, Bangalore. Contents. What is eGovernance Why metadata in eGovernance Some International eGovernance Information Models

278 views • 27 slides

METADATA Decisions for Your Digital Collection

METADATA Decisions for Your Digital Collection. 1. Knowing the differences 2. Principles to be followed 3. Other considerations 4. Working with an existing Metadata element set. 1. Knowing the differences. Textual vs. non-textual resources

323 views • 22 slides

METS: An Introduction

METS: An Introduction. Part III METS and MOA2. MOA2: A Brief History. Digital Library Federation project started in 1997 Main goal was to create a digital library object standard for encoding descriptive, administrative and structural metadata along with primary content Result: MOA2.DTD.

212 views • 20 slides

Developing a Metadata Element Set or an Application Profile

Developing a Metadata Element Set or an Application Profile. Image credits: 6Y old Anthony. http://rennisonprimarydesigntechnology.info/design_drawing.html;. Major Steps (Overview). Functional requirements What do you want to accomplish with your application? Domain model

249 views • 14 slides

Chapter 9: Union-Find Algorithms

The Design and Analysis of Algorithms. Chapter 9: Union-Find Algorithms. Union-Find Algorithms. Basic Idea Quick Find Quick Union Path Compression. Basic Idea. Initialization: each disjoint subset is one-element subset, containing a different element of S .

352 views • 12 slides

Combinations

Combinations. We should use permutation where order matters We should use combination where order does not matter. Combination : An r-element subset of an n-element set A is a combination of A, taken r at a time. Example: A = {1, 2, 3, 4} Distinct combinations of A, taken three at a time:

94 views • 6 slides