'Random points' presentation slideshows

Spatial Survey Designs

Spatial Survey Designs. Anthony (Tony) R. Olsen USEPA NHEERL Western Ecology Division Corvallis, Oregon (541) 754-4790 Olsen.Tony@epa.gov Web Page: http://www.epa.gov/nheerl/arm. National Water Quality Monitoring Council: Monitoring Framework. View any study as information system

800 views • 62 slides

Spatial Survey Designs

Spatial Survey Designs. Anthony (Tony) R. Olsen USEPA NHEERL Western Ecology Division Corvallis, Oregon (541) 754-4790 Olsen.Tony@epa.gov Web Page: http://www.epa.gov/nheerl/arm. National Water Quality Monitoring Council: Monitoring Framework. View any study as information system

626 views • 62 slides

Interactive Point-based Modeling of Complex Objects from Images

666 views • 57 slides

1. Joint withA.Ta-shma & D.Zuckerman 2. Improved: R.Shaltiel and C. Umans Slides: Adi Akavia

Extractors via Low-degree Polynomials. 1. Joint withA.Ta-shma & D.Zuckerman 2. Improved: R.Shaltiel and C. Umans Slides: Adi Akavia. Definitions. Def: The min-entropy of a random variable X over {0, 1} n is defined as:

616 views • 54 slides

CAC for Multimedia Services in Mobile Cellular Networks ? A Markov Decision Approach

CAC for Multimedia Services in Mobile Cellular Networks ? A Markov Decision Approach. Speaker ? Xu Jia-Hao Advisor ? Ke Kai-Wei Date ? 2004 / 11 / 18. Outline. Introduction System Model Description SMDP Approach in Our CAC Numerical Results Conclusion. Outline. Introduction

455 views • 36 slides

S A M P L E P O I N T G E N E R A T O R An ArcView 3.2+ Application

S A M P L E P O I N T G E N E R A T O R An ArcView 3.2+ Application. Acknowledgements Forest Health Technology Enterprise Team would like to acknowledge both the San Dimas Technology and

355 views • 35 slides

Quantum Ensemble Computing

Quantum Ensemble Computing. MetroCon IEEE Presentation Wednesday Sept 29, 2004 By Douglas J. Matzke, PhD Lawrence Technologies, LLC doug@LT.com and www.LT.com. Abstract.

596 views • 31 slides

Lecture 3. Monte Carlo

Lecture 3. Monte Carlo. Simple Monte Carlo Integration

246 views • 24 slides

MA3264 Mathematical Modelling Lecture 6

MA3264 Mathematical Modelling Lecture 6. Monte Carlo Simulation. Motivation. Elevator Service : Should we. assign elevators to even / odd floors?. use express elevators?. Traffic Control : Where should we locate. one way streets?. traffic lights?.

391 views • 21 slides

Ecological Site Descriptions and State-and-Transition models of the Caldenal

Ecological Site Descriptions and State-and-Transition models of the Caldenal. Sampling Points. Random: statistically valid design Selected: knowledge of historical management. Random Points.

347 views • 18 slides

Nothing Is Perfect: Error Detection and Data Cleaning

290 views • 18 slides

CNM 190 Advanced Digital Animation Lec 06 : Advanced Procedural Modeling

381 views • 17 slides

CNM 190 Advanced Digital Animation Lec 06 : Advanced Procedural Modeling

180 views • 17 slides

Beam-beam and BTF

215 views • 9 slides

Problems and solutions Session 2

Problems and solutions Session 2. Problems. Write your solutions to m-files Check how matrix A = a) [2 0; b) [2 0; c) [-1 0; d) [ 1 1; e) [1 -1; f) [2 1; 0 1]; 0 -1]; 0 1]; -1 1]; 1 1]; 0 2]; maps the points

203 views • 7 slides