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3D Graphics Introduction Part 2

3D Graphics Introduction Part 2

3D Graphics Introduction Part 2. CIS 488/588 Bruce R. Maxim UM-Dearborn. 3D Data Structures. Triangles Pros: very good, very fast Cons: need lots of them Quadrilaterals Pros: good, fast Cons: non-coplanar Polygons Pros: easy to model with them Cons: hard to draw, hard to clip.

By omer
(617 views)

STA/MTH 379

STA/MTH 379

STA/MTH 379. Dr. Ananda Bandulasiri Assistant Professor of Statistics SHSU. Chapter 7 Population Distributions. Definitions. A variable associates a value with each individual or object in a population. A variable can be either categorical or numerical .

By adamdaniel
(1548 views)

Texture Mapping

Texture Mapping

Texture Mapping. CSE167: Computer Graphics Instructor: Steve Rotenberg UCSD, Fall 2005. Texture Mapping. Texture mapping is the process of mapping an image onto a triangle in order to increase the detail of the rendering

By Olivia
(588 views)

Continuous probability distributions

Continuous probability distributions

Continuous probability distributions. Uniform probability distribution (ASW, section 6.1) Normal probability distribution (ASW, section 6.2) Table – Appendix B and inside front cover Excel – Appendix 6.2

By cricket
(206 views)

3D Analysis and Viewing

3D Analysis and Viewing

3D Analysis and Viewing. FOR 326 April 20, 2009. NOTE: special thanks to Joe Berry of Innovative GIS for the use of his 3D rendering pictures on the following slides. Virtual reality. Integration of existing technologies Commercial GIS software has limited capabilities for

By tab
(161 views)

Verilog HDL Introduction

Verilog HDL Introduction

Verilog HDL Introduction. ECE 554 Digital Engineering Laboratory Charles R. Kime and Michael J. Schulte (Updated: Kewal K. Saluja). Overview. Simulation and Synthesis Modules and Primitives Styles Structural Descriptions Language Conventions Data Types Delay Behavioral Constructs

By vasilis
(385 views)

Simulation

Simulation

Simulation. Chapter Ten. 13.1 Overview of Simulation. When do we prefer to develop simulation model over an analytic model? When not all the underlying assumptions set for analytic model are valid. When mathematical complexity makes it hard to provide useful results.

By peigi
(303 views)

CHAPTER 9:

CHAPTER 9:

CHAPTER 9:. HYPOTHESIS TESTS ABOUT THE MEAN AND PROPORTION. HYPOTHESIS TESTS: AN INTRODUCTION. Two Hypotheses Rejection and Nonrejection Regions Two Types of Errors Tails of a Test. Two Hypotheses. Definition

By ashton
(206 views)

Verilog HDL Introduction

Verilog HDL Introduction

Verilog HDL Introduction. ECE 554 Digital Engineering Laboratory Charles R. Kime. Overview. Simulation and Synthesis Modules and Primitives Styles Structural Descriptions Language Conventions Data Types Delay Behavioral Constructs Compiler Directives Simulation and Testbenches.

By thuong
(219 views)

Chapter 8

Chapter 8

Chapter 8. Hypothesis Testing. 1. Chapter 8 Overview. Introduction 8-1 Steps in Hypothesis Testing-Traditional Method 8-2 z Test for a Mean 8-3 t Test for a Mean 8-4 z Test for a Proportion 8-5 Test for a Variance or Standard Deviation

By janice
(420 views)

The Normal Distribution and Microsoft Excel

The Normal Distribution and Microsoft Excel

The Normal Distribution and Microsoft Excel. Say a company has developed a new tire for cars. In testing the tire it has been determined the distribution of miles driven is normal and that the mean tire mileage is 36,500 miles and the standard deviation is 5000 miles.

By samson
(159 views)

TOPIC 3 SOIL STRESS

TOPIC 3 SOIL STRESS

TOPIC 3 SOIL STRESS. Course : S0705 – Soil Mechanic Year : 2008. CONTENT. TOTAL STRESS EFFECTIVE STRESS STRESS DISTRIBUTION. TOTAL NORMAL STRESS.

By coral
(1534 views)

Continuous Probability Distributions

Continuous Probability Distributions

Continuous Probability Distributions. Chapter 8. Introduction. A continuous random variable has an uncountable infinite number of values in the interval (a,b). The probability that a continuous variable X will assume any particular value is zero . . Area = 1.

By fawzia
(197 views)

DNA repair SNPs Associated with Breast Cancer

DNA repair SNPs Associated with Breast Cancer

DNA repair SNPs Associated with Breast Cancer. By: Brittany Duncan Mentors: Janet Sinsheimer PhD (UCLA) Mary Sehl M.D.(UCLA). What We Aim to Do. To ultimately determine: What SNP and Environmental factors contribute to breast cancer

By phoebe
(96 views)

6.11 – The Normal Distribution

6.11 – The Normal Distribution

6.11 – The Normal Distribution. IB Math SL/HL Y1&Y2 - Santowski. (A) Random Variables.

By miles
(193 views)

Computer Graphics

Computer Graphics

Lecture 5 Hidden Surface Removal and Rasterization Taku Komura. Computer Graphics. Hidden surface removal. Drawing polygonal faces on screen consumes CPU cycles Illumination We cannot see every surface in scene

By lynton
(252 views)

Chapter 6 Continuous Probability Distributions

Chapter 6 Continuous Probability Distributions

Chapter 6 Continuous Probability Distributions. Uniform Probability Distribution Normal Probability Distribution Exponential Probability Distribution. f ( x ). x. . Continuous Probability Distributions.

By myra
(190 views)

Converting to a Standard Normal Distribution

Converting to a Standard Normal Distribution

Converting to a Standard Normal Distribution. Think of me as the measure of the distance from the mean, measured in standard deviations. is used to compute the cumulative probability given a z value. NORMSDIST.

By reid
(111 views)

Chris Morgan, MATH G160 csmorgan@purdue.edu March 2, 2012 Lecture 21

Chris Morgan, MATH G160 csmorgan@purdue.edu March 2, 2012 Lecture 21

Chris Morgan, MATH G160 csmorgan@purdue.edu March 2, 2012 Lecture 21. Chapter 6.2: Normal Distribution. Normal Distribution. The normal distribution is a symmetric distribution that is centered around a mean and spreads out in both directions.

By ilana
(259 views)

Digital Image Processing Image Restoration Dr. Ziya Telatar Ankara University

Digital Image Processing Image Restoration Dr. Ziya Telatar Ankara University

Digital Image Processing Image Restoration Dr. Ziya Telatar Ankara University. D igital I mage P rocessing : Details. Image Preprocessing. Restoration. Enhancement. Inverse filtering Blind Deconvolution Wiener filtering Cepstrum Least Squares Regularization Tech. ............

By evangelia
(382 views)

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