'Possible orders' diaporamas de présentation

Playing with cards and hats - an introduction to error correcting codes

2.1k views • 175 slides

A typical conversation

Whom to marry, how to cook and where to buy gas: solving dilemmas of daily life, one algorithm at a time SAMIR KHULLER Dept. of Computer Science University of Maryland. A typical conversation. Person: What do you do? Me: I am a computer science professor.

899 views • 57 slides

Dynamic Programming Part One

Dynamic Programming Part One. HKOI Training Team 2004. Recurrences. Function defined in terms of itself M(X) = X * M(X-1) F n+2 = F n+1 + F n K n+1 = max{K n-1 +100, K n } One or more base cases are needed M(0) = 1 F 0 = 1, F 1 = 1 K 10 = 100, K 11 = 177. Evaluating recurrences.

637 views • 52 slides

CAS LX 400 Second Language Acquisition

555 views • 41 slides

Syntax IV

908 views • 37 slides

Mathematics

Mathematics. Session. Matrices and Determinants-1. Session Objectives. Matrix Types of Matrices Operations on Matrices Transpose of a Matrix Symmetric and Skew-symmetric Matrix Class Exercise. Column. Row. Element of m th row and j th column. Matrix.

454 views • 37 slides

Practical Statistics for Particle Physicists Lecture 1

451 views • 31 slides

Weighted Voting

815 views • 21 slides

Within Subjects Designs

Within Subjects Designs. AKA Repeated Measures Design Remember matched groups design? Allowed more power if you matched on correct variable Within Subjects Designs can be considered the ultimate way of matching. Reasons to use Within Subjects Designs. 1. Requires fewer subjects

363 views • 16 slides