Apparent Depth. B' l'

Size: px
Start display at page:

Download "Apparent Depth. B' l'"

Transcription

1 REFRACTION by PLANE SURFACES Apparet Depth Suppose we have a object B i a medium of idex which is viewed from a medium of idex '. If '<, the diagram of this would be like that below. ' θ' '< B θ θ B' l' θ' a O l What does the observer O, who is lookig alog the ormal to the iterface, see whe he looks at object B? The diagram shows a typical ray leavig B. It makes a agle θ with the ormal whe it his the iterface. It leaves the iterface at agle θ' where from Sell's law, siθ'=(/')siθ. (1) If the object is a distace l from the iterface ad the ray itersects the iterface at a poit a distace a from the lie of sight, by trigoometry taθ=a/l. (2) If the extesio of the refracted ray itersects the optical axis at l', the from trigoometry taθ'=a/l'. (3) plae surfaces, page 1 W. F. Log, 1992

2 Now let's assume that the rays that actually eter the observer's eye are very early parallel to the optic axis, the so-called paraxial approximatio. The from the small agle approximatio θ siθ taθ ad θ' siθ' taθ' so equatios (1), (2), ad (3) become θ'=(/')θ. θ=a/l. θ'=a/l'. Substitutig (2') ad (3') ito (1') gives '/l'= /l. Note that the result is idepedet of a, so all rays from B itersect the axis at the same poit B'. That would look like the followig. (1') (2') (3') (4) ' '< B B' O To the observer all the light seems to be comig from poit B' a distace l' beeath the iterface, ot from poit B a distace l below the iterface. B' is the image of B ad equatio (4) is the fudametal paraxial equatio for a plae surface relatig object ad image distaces. Note, this oly happes for paraxial rays. If rays make large eough agles with the iterface, the refracted rays do ot all itersect at poit B', ad the image is somewhat blurred or aberrated. plae surfaces, page 2 W. F. Log, 1992

3 Example: A pey is at the bottom of a swimmig pool three meters deep. How far below the surface of the water does the pey seem to be to a diver lookig dow o it. I this case l=3m, =1.33 (the idex of water), ad '=1 (the idex of air) so the apparet depth of the pey is l'=('/)l=(1/1.33)(3m)=2.26m. Note that the coi looks closer to the surface tha it really is. Total Iteral Reflectio θ c I goig from deser to rarer medium, part of the eergy of a ray is reflected, part refracted away from the ormal to the surface. At oe particular icidet agle θ c, the refracted ray makes a 90 agle with the ormal. For ay agle of icidece greater tha θ c, all the eergy of the ray is reflected. The agle θ c, is called the critical agle. It satisfies Sell's law siθ c ='si90 =' siθ c ='/. Critical agle has a umber of practical applicatios i producig a mirror surface without silverig. It is used i fiber optic probes, diamods, a variety of reflectig prisms, etc. plae surfaces, page 3 W. F. Log, 1992

4 Example: What is the critical agle for light goig from water to air? θ c =arc si('/)=arc si(1/1.33)=49. Example: A hero is hutig a frog hidig beeath a lily pad of 50cm diameter. What is the maximum distace the frog may go beeath the lily pad before the hero ca see him? lily pad 25cm x c The frog will remai ivisible to the hero so log as rays from the frog's body are totally reflected at the air-water iterface. The maximum depth for which this will be true is beeath the ceter of the lily pad. At that maximum depth, rays from the frog will strike the edge of the lily pad at the critical agle which we calculated to be 49 i the previous example. From the diagram that distace, x, is give by 25cm/x=ta49 so x=25cm/ta49 =21.9cm. Prisms Let a ray of light strike a wedge of refractive material, a prism. The wedge has apical agle α ad idex ' ad is surrouded by a medium of idex. If, as is always the case i realistic problems, the prism is more optically dese tha the surroudig mirror, the ray is bet toward the prism base as it passes through each prism face. The questio of iterest is, what is the agle through which the icomig ray is tured? plae surfaces, page 4 W. F. Log, 1992

5 α copy of icomig ray ' Calculatig is, i geeral, a complicated geometric problem. But i ophthalmic optics, oly thi prisms, those of small apical agle, are importat ad oly rays icidet early ormally are cosidered. That simplifies the problem a lot. The diagram below shows such a prism. α α θ' copy of icomig ray ' Let's simplify the calculatio by havig the ray icidet ormally o the first face of the prism. It is ot, the deviated by the first face ad strikes the secod face such that it makes a agle α with the ormal. It leaves the prism at a agle θ' with the ormal. From Sell's law, 'siα=siθ' or 'α θ'. But the agle of deviatio is related to θ' by θ'=α+. (5) (6) plae surfaces, page 5 W. F. Log, 1992

6 Elimiatig θ' from (5) ad (6), =[('/)-1]α. (7) Eve though (7) was derived for a early ormally icidet ray, it is true for ay ray icidet early ormally. That meas that all such rays are deviated through exactly the same agle. If the rays come from a object B, as i the diagram below, a observer sees them as if they came from a image B', displaced vertically from B but ot displaced logitudially. B' B Ophthalmic prisms are thi prisms. They are measured i prism diopters of prism power. A prism which causes a deviatio of a ray of light of 1cm per meter travelled by the ray has oe prism diopter of prism power. The diagram below shows how a oe diopter prism deviates a ray of light. 1m 1cm From the diagram, the agle of deviatio is (radias)=1cm/1m=0.01. If the prism has prism diopters of power, it moves the beam cetimeters for every meter travelled ad = cm/1m=0.01 or sice =1 for prisms i air. =100(radias)=100('-1)α(radias) (8) plae surfaces, page 6 W. F. Log, 1992

7 Example: What is the power of a crow glass prism of apical agle 4? α=4 =(π/180 )x4 =0.070 radias ad '= Pluggig ito (8) gives =100( )(0.070)=3.65prism diopters 4 p.d. Superpositio of Thi Prisms As show i the diagram above, a ophthalmic prism may be represeted as a vector with the magitude of the prism ad directio from apex-tobase. It would have bee icer if the opposite directio sice the image moves toward the apex ad the prism sort of poits that way, but that just is't how it's doe. Superimposed prisms may be combied by just addig the correspodig vectors ad they may be resolved ito compoets, just like ay other vectors. plae surfaces, page 7 W. F. Log, 1992

8 Example: The apex-to-base lie of a 6p.d. prism makes a agle of 60 with the x-axis. What is the prism power i the horizotal ad vertical meridias? Draw the vector represetatio of the prism. From trigoometry x =6cos60 =3p.d., y =6si60 =5.2p.d. =6 y The whole vector could be writte i compoet form as =(3.0, 5.2). 60 x Example: What prism is equivalet to a 5p.d. 45 prism superimposed o a 3p.d. base dow prism? Resolve each prism ito compoets. The vector correspodig to the first prism is 1 =(5cos45,5si45 )=(3.5,3.5). The vector correspodig to the secod prism is 2 =(0,-3). The total prism is the vector sum, = 1+ 2 =(3.5+0,3.5-3)=(3.5,0.5). The magitude of the resultat prism is = [(3.5)2+(0.5)2]=3.54p.d. ad the agle is θ=arc ta(0.5/3.5)=8 8' ' plae surfaces, page 8 W. F. Log, 1992

Final Exam information

Final Exam information Fial Exam iformatio Wedesday, Jue 6, 2012, 9:30 am - 11:18 am Locatio: i recitatio room Comprehesive (covers all course material) 35 multiple-choice questios --> 175 poits Closed book ad otes Make up your

More information

The Nature of Light. Chapter 22. Geometric Optics Using a Ray Approximation. Ray Approximation

The Nature of Light. Chapter 22. Geometric Optics Using a Ray Approximation. Ray Approximation The Nature of Light Chapter Reflectio ad Refractio of Light Sectios: 5, 8 Problems: 6, 7, 4, 30, 34, 38 Particles of light are called photos Each photo has a particular eergy E = h ƒ h is Plack s costat

More information

Chapter 18: Ray Optics Questions & Problems

Chapter 18: Ray Optics Questions & Problems Chapter 18: Ray Optics Questios & Problems c -1 2 1 1 1 h s θr= θi 1siθ 1 = 2si θ 2 = θ c = si ( ) + = m = = v s s f h s 1 Example 18.1 At high oo, the su is almost directly above (about 2.0 o from the

More information

Spherical Mirrors. Types of spherical mirrors. Lecture convex mirror: the. geometrical center is on the. opposite side of the mirror as

Spherical Mirrors. Types of spherical mirrors. Lecture convex mirror: the. geometrical center is on the. opposite side of the mirror as Lecture 14-1 Spherical Mirrors Types of spherical mirrors covex mirror: the geometrical ceter is o the opposite side of the mirror as the object. cocave mirror: the geometrical ceter is o the same side

More information

27 Refraction, Dispersion, Internal Reflection

27 Refraction, Dispersion, Internal Reflection Chapter 7 Refractio, Dispersio, Iteral Reflectio 7 Refractio, Dispersio, Iteral Reflectio Whe we talked about thi film iterferece, we said that whe light ecouters a smooth iterface betwee two trasparet

More information

AP B mirrors and lenses websheet 23.2

AP B mirrors and lenses websheet 23.2 Name: Class: _ Date: _ ID: A AP B mirrors ad leses websheet 232 Multiple Choice Idetify the choice that best completes the statemet or aswers the questio 1 The of light ca chage whe light is refracted

More information

Physics 11b Lecture #19

Physics 11b Lecture #19 Physics b Lecture #9 Geometrical Optics S&J Chapter 34, 35 What We Did Last Time Itesity (power/area) of EM waves is give by the Poytig vector See slide #5 of Lecture #8 for a summary EM waves are produced

More information

Propagation of light: rays versus wave fronts; geometrical and physical optics

Propagation of light: rays versus wave fronts; geometrical and physical optics Propagatio of light: rays versus wave frots; geometrical ad physical optics A ray is a imagiary lie alog the directio of propagatio of the light wave: this lie is perpedicular to the wave frot If descriptio

More information

Lecture 7 7 Refraction and Snell s Law Reading Assignment: Read Kipnis Chapter 4 Refraction of Light, Section III, IV

Lecture 7 7 Refraction and Snell s Law Reading Assignment: Read Kipnis Chapter 4 Refraction of Light, Section III, IV Lecture 7 7 Refractio ad Sell s Law Readig Assigmet: Read Kipis Chapter 4 Refractio of Light, Sectio III, IV 7. History I Eglish-speakig coutries, the law of refractio is kow as Sell s Law, after the Dutch

More information

Aberrations in Lens & Mirrors (Hecht 6.3)

Aberrations in Lens & Mirrors (Hecht 6.3) Aberratios i Les & Mirrors (Hecht 6.3) Aberratios are failures to focus to a "poit" Both mirrors ad les suffer from these Some are failures of paraxial assumptio 3 5 θ θ si( θ ) = θ + L 3! 5! Paraxial

More information

. Perform a geometric (ray-optics) construction (i.e., draw in the rays on the diagram) to show where the final image is formed.

. Perform a geometric (ray-optics) construction (i.e., draw in the rays on the diagram) to show where the final image is formed. MASSACHUSETTS INSTITUTE of TECHNOLOGY Departmet of Electrical Egieerig ad Computer Sciece 6.161 Moder Optics Project Laboratory 6.637 Optical Sigals, Devices & Systems Problem Set No. 1 Geometric optics

More information

EE 584 MACHINE VISION

EE 584 MACHINE VISION METU EE 584 Lecture Notes by A.Aydi ALATAN 0 EE 584 MACHINE VISION Itroductio elatio with other areas Image Formatio & Sesig Projectios Brightess Leses Image Sesig METU EE 584 Lecture Notes by A.Aydi ALATAN

More information

Basic Optics: Index of Refraction

Basic Optics: Index of Refraction Basic Optics: Idex of Refractio Deser materials have lower speeds of light Idex of Refractio = where c = speed of light i vacuum v = velocity i medium Eve small chages ca create differece i Higher idex

More information

COMP 558 lecture 6 Sept. 27, 2010

COMP 558 lecture 6 Sept. 27, 2010 Radiometry We have discussed how light travels i straight lies through space. We would like to be able to talk about how bright differet light rays are. Imagie a thi cylidrical tube ad cosider the amout

More information

Get Solution of These Packages & Learn by Video Tutorials on GEOMETRICAL OPTICS

Get Solution of These Packages & Learn by Video Tutorials on   GEOMETRICAL OPTICS . CONDITION FOR F RECTILINEAR PROP OPAGATION OF LIGHT : (ONLY FORF INFORMA ORMATION NOTE IN JEE SYLLABUS) Some part of the optics ca be uderstood if we assume that light travels i a straight lie ad it

More information

EVALUATION OF TRIGONOMETRIC FUNCTIONS

EVALUATION OF TRIGONOMETRIC FUNCTIONS EVALUATION OF TRIGONOMETRIC FUNCTIONS Whe first exposed to trigoometric fuctios i high school studets are expected to memorize the values of the trigoometric fuctios of sie cosie taget for the special

More information

Lenses and Imaging (Part I)

Lenses and Imaging (Part I) Leses ad Imagig (Part I) Why is imagig ecessary: Huyge s priciple Spherical & parallel ray budles, poits at ifiity efractio at spherical surfaces (paraial approimatio) Optical power ad imagig coditio Matri

More information

Lenses and imaging. MIT 2.71/ /10/01 wk2-a-1

Lenses and imaging. MIT 2.71/ /10/01 wk2-a-1 Leses ad imagig Huyges priciple ad why we eed imagig istrumets A simple imagig istrumet: the pihole camera Priciple of image formatio usig leses Quatifyig leses: paraial approimatio & matri approach Focusig

More information

Assignment 5; Due Friday, February 10

Assignment 5; Due Friday, February 10 Assigmet 5; Due Friday, February 10 17.9b The set X is just two circles joied at a poit, ad the set X is a grid i the plae, without the iteriors of the small squares. The picture below shows that the iteriors

More information

The Closest Line to a Data Set in the Plane. David Gurney Southeastern Louisiana University Hammond, Louisiana

The Closest Line to a Data Set in the Plane. David Gurney Southeastern Louisiana University Hammond, Louisiana The Closest Lie to a Data Set i the Plae David Gurey Southeaster Louisiaa Uiversity Hammod, Louisiaa ABSTRACT This paper looks at three differet measures of distace betwee a lie ad a data set i the plae:

More information

Pattern Recognition Systems Lab 1 Least Mean Squares

Pattern Recognition Systems Lab 1 Least Mean Squares Patter Recogitio Systems Lab 1 Least Mea Squares 1. Objectives This laboratory work itroduces the OpeCV-based framework used throughout the course. I this assigmet a lie is fitted to a set of poits usig

More information

Lenses and Imaging (Part I) Parabloid mirror: perfect focusing

Lenses and Imaging (Part I) Parabloid mirror: perfect focusing Leses ad Imagig (Part I) eview: paraboloid reflector, focusig Why is imagig ecessary: Huyges priciple Spherical & parallel ray budles, poits at ifiity efractio at spherical surfaces (paraial approimatio)

More information

CONVERGENCE OF THE RATIO OF PERIMETER OF A REGULAR POLYGON TO THE LENGTH OF ITS LONGEST DIAGONAL AS THE NUMBER OF SIDES OF POLYGON INCREASES

CONVERGENCE OF THE RATIO OF PERIMETER OF A REGULAR POLYGON TO THE LENGTH OF ITS LONGEST DIAGONAL AS THE NUMBER OF SIDES OF POLYGON INCREASES CONVERGENCE OF THE RATIO OF PERIMETER OF A REGULAR POLYGON TO THE LENGTH OF ITS LONGEST DIAGONAL AS THE NUMBER OF SIDES OF POLYGON INCREASES Pawa Kumar Bishwakarma Idepedet Researcher Correspodig Author:

More information

Section 4. Imaging and Paraxial Optics

Section 4. Imaging and Paraxial Optics 4-1 Sectio 4 Imagig ad Paraxial Optics Optical Sstems A optical sstem is a collectio of optical elemets (leses ad mirrors). While the optical sstem ca cotai multiple optical elemets, the first order properties

More information

The isoperimetric problem on the hypercube

The isoperimetric problem on the hypercube The isoperimetric problem o the hypercube Prepared by: Steve Butler November 2, 2005 1 The isoperimetric problem We will cosider the -dimesioal hypercube Q Recall that the hypercube Q is a graph whose

More information

Phys102 Lecture 21/22 Light: Reflection and Refraction

Phys102 Lecture 21/22 Light: Reflection and Refraction Phys102 Lecture 21/22 Light: Reflection and Refraction Key Points The Ray Model of Light Reflection and Mirrors Refraction, Snell s Law Total internal Reflection References 23-1,2,3,4,5,6. The Ray Model

More information

Alpha Individual Solutions MAΘ National Convention 2013

Alpha Individual Solutions MAΘ National Convention 2013 Alpha Idividual Solutios MAΘ Natioal Covetio 0 Aswers:. D. A. C 4. D 5. C 6. B 7. A 8. C 9. D 0. B. B. A. D 4. C 5. A 6. C 7. B 8. A 9. A 0. C. E. B. D 4. C 5. A 6. D 7. B 8. C 9. D 0. B TB. 570 TB. 5

More information

Counting Regions in the Plane and More 1

Counting Regions in the Plane and More 1 Coutig Regios i the Plae ad More 1 by Zvezdelia Stakova Berkeley Math Circle Itermediate I Group September 016 1. Overarchig Problem Problem 1 Regios i a Circle. The vertices of a polygos are arraged o

More information

Intro to Scientific Computing: Solutions

Intro to Scientific Computing: Solutions Itro to Scietific Computig: Solutios Dr. David M. Goulet. How may steps does it take to separate 3 objects ito groups of 4? We start with 5 objects ad apply 3 steps of the algorithm to reduce the pile

More information

Homework Set 3 Due Thursday, 07/14

Homework Set 3 Due Thursday, 07/14 Homework Set 3 Due Thursday, 07/14 Problem 1 A room contains two parallel wall mirrors, on opposite walls 5 meters apart. The mirrors are 8 meters long. Suppose that one person stands in a doorway, in

More information

CS Polygon Scan Conversion. Slide 1

CS Polygon Scan Conversion. Slide 1 CS 112 - Polygo Sca Coversio Slide 1 Polygo Classificatio Covex All iterior agles are less tha 180 degrees Cocave Iterior agles ca be greater tha 180 degrees Degeerate polygos If all vertices are colliear

More information

SD vs. SD + One of the most important uses of sample statistics is to estimate the corresponding population parameters.

SD vs. SD + One of the most important uses of sample statistics is to estimate the corresponding population parameters. SD vs. SD + Oe of the most importat uses of sample statistics is to estimate the correspodig populatio parameters. The mea of a represetative sample is a good estimate of the mea of the populatio that

More information

Normal Distributions

Normal Distributions Normal Distributios Stacey Hacock Look at these three differet data sets Each histogram is overlaid with a curve : A B C A) Weights (g) of ewly bor lab rat pups B) Mea aual temperatures ( F ) i A Arbor,

More information

CSC165H1 Worksheet: Tutorial 8 Algorithm analysis (SOLUTIONS)

CSC165H1 Worksheet: Tutorial 8 Algorithm analysis (SOLUTIONS) CSC165H1, Witer 018 Learig Objectives By the ed of this worksheet, you will: Aalyse the ruig time of fuctios cotaiig ested loops. 1. Nested loop variatios. Each of the followig fuctios takes as iput a

More information

Section 4. Imaging and Paraxial Optics

Section 4. Imaging and Paraxial Optics Sectio 4 Imagig ad Paraxial Optics 4- Optical Sstems A optical sstem is a collectio of optical elemets (leses ad mirrors). While the optical sstem ca cotai multiple optical elemets, the first order properties

More information

PLEASURE TEST SERIES (XI) - 04 By O.P. Gupta (For stuffs on Math, click at theopgupta.com)

PLEASURE TEST SERIES (XI) - 04 By O.P. Gupta (For stuffs on Math, click at theopgupta.com) wwwtheopguptacom wwwimathematiciacom For all the Math-Gya Buy books by OP Gupta A Compilatio By : OP Gupta (WhatsApp @ +9-9650 350 0) For more stuffs o Maths, please visit : wwwtheopguptacom Time Allowed

More information

Normals. In OpenGL the normal vector is part of the state Set by glnormal*()

Normals. In OpenGL the normal vector is part of the state Set by glnormal*() Ray Tracig 1 Normals OpeG the ormal vector is part of the state Set by glnormal*() -glnormal3f(x, y, z); -glnormal3fv(p); Usually we wat to set the ormal to have uit legth so cosie calculatios are correct

More information

The Platonic solids The five regular polyhedra

The Platonic solids The five regular polyhedra The Platoic solids The five regular polyhedra Ole Witt-Hase jauary 7 www.olewitthase.dk Cotets. Polygos.... Topologically cosideratios.... Euler s polyhedro theorem.... Regular ets o a sphere.... The dihedral

More information

1 Graph Sparsfication

1 Graph Sparsfication CME 305: Discrete Mathematics ad Algorithms 1 Graph Sparsficatio I this sectio we discuss the approximatio of a graph G(V, E) by a sparse graph H(V, F ) o the same vertex set. I particular, we cosider

More information

9 x and g(x) = 4. x. Find (x) 3.6. I. Combining Functions. A. From Equations. Example: Let f(x) = and its domain. Example: Let f(x) = and g(x) = x x 4

9 x and g(x) = 4. x. Find (x) 3.6. I. Combining Functions. A. From Equations. Example: Let f(x) = and its domain. Example: Let f(x) = and g(x) = x x 4 1 3.6 I. Combiig Fuctios A. From Equatios Example: Let f(x) = 9 x ad g(x) = 4 f x. Fid (x) g ad its domai. 4 Example: Let f(x) = ad g(x) = x x 4. Fid (f-g)(x) B. From Graphs: Graphical Additio. Example:

More information

Light and shading. Source: A. Efros

Light and shading. Source: A. Efros Light ad shadig Source: A. Efros Image formatio What determies the brightess of a image piel? Sesor characteristics Light source properties Eposure Surface shape ad orietatio Optics Surface reflectace

More information

IMP: Superposer Integrated Morphometrics Package Superposition Tool

IMP: Superposer Integrated Morphometrics Package Superposition Tool IMP: Superposer Itegrated Morphometrics Package Superpositio Tool Programmig by: David Lieber ( 03) Caisius College 200 Mai St. Buffalo, NY 4208 Cocept by: H. David Sheets, Dept. of Physics, Caisius College

More information

Lighting and Shading. Outline. Raytracing Example. Global Illumination. Local Illumination. Radiosity Example

Lighting and Shading. Outline. Raytracing Example. Global Illumination. Local Illumination. Radiosity Example CSCI 480 Computer Graphics Lecture 9 Lightig ad Shadig Light Sources Phog Illumiatio Model Normal Vectors [Agel Ch. 6.1-6.4] February 13, 2013 Jerej Barbic Uiversity of Souther Califoria http://www-bcf.usc.edu/~jbarbic/cs480-s13/

More information

Performance Plus Software Parameter Definitions

Performance Plus Software Parameter Definitions Performace Plus+ Software Parameter Defiitios/ Performace Plus Software Parameter Defiitios Chapma Techical Note-TG-5 paramete.doc ev-0-03 Performace Plus+ Software Parameter Defiitios/2 Backgroud ad Defiitios

More information

OCR Statistics 1. Working with data. Section 3: Measures of spread

OCR Statistics 1. Working with data. Section 3: Measures of spread Notes ad Eamples OCR Statistics 1 Workig with data Sectio 3: Measures of spread Just as there are several differet measures of cetral tedec (averages), there are a variet of statistical measures of spread.

More information

Examples and Applications of Binary Search

Examples and Applications of Binary Search Toy Gog ITEE Uiersity of Queeslad I the secod lecture last week we studied the biary search algorithm that soles the problem of determiig if a particular alue appears i a sorted list of iteger or ot. We

More information

Chapter 32 Light: Reflection and Refraction. Copyright 2009 Pearson Education, Inc.

Chapter 32 Light: Reflection and Refraction. Copyright 2009 Pearson Education, Inc. Chapter 32 Light: Reflection and Refraction Units of Chapter 32 The Ray Model of Light Reflection; Image Formation by a Plane Mirror Formation of Images by Spherical Mirrors Index of Refraction Refraction:

More information

1. Sketch a concave polygon and explain why it is both concave and a polygon. A polygon is a simple closed curve that is the union of line segments.

1. Sketch a concave polygon and explain why it is both concave and a polygon. A polygon is a simple closed curve that is the union of line segments. SOLUTIONS MATH / Fial Review Questios, F5. Sketch a cocave polygo ad explai why it is both cocave ad a polygo. A polygo is a simple closed curve that is the uio of lie segmets. A polygo is cocave if it

More information

Chapter 3 Classification of FFT Processor Algorithms

Chapter 3 Classification of FFT Processor Algorithms Chapter Classificatio of FFT Processor Algorithms The computatioal complexity of the Discrete Fourier trasform (DFT) is very high. It requires () 2 complex multiplicatios ad () complex additios [5]. As

More information

Ones Assignment Method for Solving Traveling Salesman Problem

Ones Assignment Method for Solving Traveling Salesman Problem Joural of mathematics ad computer sciece 0 (0), 58-65 Oes Assigmet Method for Solvig Travelig Salesma Problem Hadi Basirzadeh Departmet of Mathematics, Shahid Chamra Uiversity, Ahvaz, Ira Article history:

More information

condition w i B i S maximum u i

condition w i B i S maximum u i ecture 10 Dyamic Programmig 10.1 Kapsack Problem November 1, 2004 ecturer: Kamal Jai Notes: Tobias Holgers We are give a set of items U = {a 1, a 2,..., a }. Each item has a weight w i Z + ad a utility

More information

1.! Questions about reflected intensity. [Use the formulas on p. 8 of Light.] , no matter

1.! Questions about reflected intensity. [Use the formulas on p. 8 of Light.] , no matter Reading: Light Key concepts: Huygens s principle; reflection; refraction; reflectivity; total reflection; Brewster angle; polarization by absorption, reflection and Rayleigh scattering. 1.! Questions about

More information

Which movie we can suggest to Anne?

Which movie we can suggest to Anne? ECOLE CENTRALE SUPELEC MASTER DSBI DECISION MODELING TUTORIAL COLLABORATIVE FILTERING AS A MODEL OF GROUP DECISION-MAKING You kow that the low-tech way to get recommedatios for products, movies, or etertaiig

More information

EE123 Digital Signal Processing

EE123 Digital Signal Processing Last Time EE Digital Sigal Processig Lecture 7 Block Covolutio, Overlap ad Add, FFT Discrete Fourier Trasform Properties of the Liear covolutio through circular Today Liear covolutio with Overlap ad add

More information

CHAP: REFRACTION OF LIGHT AT PLANE SURFACES

CHAP: REFRACTION OF LIGHT AT PLANE SURFACES CHAP: REFRACTION OF LIGHT AT PLANE SURFACES Ex : 4A Q: 1 The change in the direction of the path of light, when it passes from one transparent medium to another transparent medium, is called refraction

More information

Chapter 26 Geometrical Optics

Chapter 26 Geometrical Optics Chapter 26 Geometrical Optics 26.1 The Reflection of Light 26.2 Forming Images With a Plane Mirror 26.3 Spherical Mirrors 26.4 Ray Tracing and the Mirror Equation 26.5 The Refraction of Light 26.6 Ray

More information

Section 7.2: Direction Fields and Euler s Methods

Section 7.2: Direction Fields and Euler s Methods Sectio 7.: Directio ields ad Euler s Methods Practice HW from Stewart Tetbook ot to had i p. 5 # -3 9-3 odd or a give differetial equatio we wat to look at was to fid its solutio. I this chapter we will

More information

Name Date Hr. ALGEBRA 1-2 SPRING FINAL MULTIPLE CHOICE REVIEW #2

Name Date Hr. ALGEBRA 1-2 SPRING FINAL MULTIPLE CHOICE REVIEW #2 Name Date Hr. ALGEBRA - SPRING FINAL MULTIPLE CHOICE REVIEW # 5. Which measure of ceter is most appropriate for the followig data set? {7, 7, 75, 77,, 9, 9, 90} Mea Media Stadard Deviatio Rage 5. The umber

More information

Creating Exact Bezier Representations of CST Shapes. David D. Marshall. California Polytechnic State University, San Luis Obispo, CA , USA

Creating Exact Bezier Representations of CST Shapes. David D. Marshall. California Polytechnic State University, San Luis Obispo, CA , USA Creatig Exact Bezier Represetatios of CST Shapes David D. Marshall Califoria Polytechic State Uiversity, Sa Luis Obispo, CA 93407-035, USA The paper presets a method of expressig CST shapes pioeered by

More information

Name Date Hr. ALGEBRA 1-2 SPRING FINAL MULTIPLE CHOICE REVIEW #1

Name Date Hr. ALGEBRA 1-2 SPRING FINAL MULTIPLE CHOICE REVIEW #1 Name Date Hr. ALGEBRA - SPRING FINAL MULTIPLE CHOICE REVIEW #. The high temperatures for Phoeix i October of 009 are listed below. Which measure of ceter will provide the most accurate estimatio of the

More information

Learning to Shoot a Goal Lecture 8: Learning Models and Skills

Learning to Shoot a Goal Lecture 8: Learning Models and Skills Learig to Shoot a Goal Lecture 8: Learig Models ad Skills How do we acquire skill at shootig goals? CS 344R/393R: Robotics Bejami Kuipers Learig to Shoot a Goal The robot eeds to shoot the ball i the goal.

More information

Big-O Analysis. Asymptotics

Big-O Analysis. Asymptotics Big-O Aalysis 1 Defiitio: Suppose that f() ad g() are oegative fuctios of. The we say that f() is O(g()) provided that there are costats C > 0 ad N > 0 such that for all > N, f() Cg(). Big-O expresses

More information

c) Did doing the transformations in a different order matter? Explain why?

c) Did doing the transformations in a different order matter? Explain why? G.O..5 WORKSHEET #8 geoetrycoocore NME: 1 OMPOSITE TRNSFORMTIONS DOES ORDER MTTER Use the coposite trasforatio to plot ad 1a) T 3,5 r ( ) y axis b) y axis T 3,5 (6,-1) (6,-1) (3,-4) (3,-4) (5,-7) (5,-7)

More information

World Scientific Research Journal (WSRJ) ISSN: Research on Fresnel Lens Optical Receiving Antenna in Indoor Visible

World Scientific Research Journal (WSRJ) ISSN: Research on Fresnel Lens Optical Receiving Antenna in Indoor Visible World Scietific Research Joural (WSRJ) ISSN: 2472-3703 www.wsr-j.org Research o Fresel Les Optical Receivig Atea i Idoor Visible Light Commuicatio Zhihua Du College of Electroics Egieerig, Chogqig Uiversity

More information

Math Section 2.2 Polynomial Functions

Math Section 2.2 Polynomial Functions Math 1330 - Sectio. Polyomial Fuctios Our objectives i workig with polyomial fuctios will be, first, to gather iformatio about the graph of the fuctio ad, secod, to use that iformatio to geerate a reasoably

More information

LIGHT & OPTICS. Fundamentals of Physics 2112 Chapter 34 1

LIGHT & OPTICS. Fundamentals of Physics 2112 Chapter 34 1 LIGHT & OPTICS Fundamentals of Physics 22 Chapter 34 Chapter 34 Images. Two Types of Images 2. Plane Mirrors 3. Spherical Mirrors 4. Images from Spherical Mirrors 5. Spherical Refracting Surfaces 6. Thin

More information

COMPOSITE TRANSFORMATIONS. DOES ORDER MATTER Use the composite transformation to plot A B C and A B C. 1a)

COMPOSITE TRANSFORMATIONS. DOES ORDER MATTER Use the composite transformation to plot A B C and A B C. 1a) U3 L1 HW OMPOSITE TRNSFORMTIONS DOES ORDER MTTER Use the coposite trasforatio to plot ad 1a) T 3,5 ry axis ( ) b) ry axis T 3,5 ( ) c) Did doig the trasforatios i a differet order atter? Explai why? 2a)

More information

4. Refraction. glass, air, Perspex and water.

4. Refraction. glass, air, Perspex and water. Mr. C. Grima 11 1. Rays and Beams A ray of light is a narrow beam of parallel light, which can be represented by a line with an arrow on it, in diagrams. A group of rays makes up a beam of light. In laboratory

More information

Lecture 7 Notes: 07 / 11. Reflection and refraction

Lecture 7 Notes: 07 / 11. Reflection and refraction Lecture 7 Notes: 07 / 11 Reflection and refraction When an electromagnetic wave, such as light, encounters the surface of a medium, some of it is reflected off the surface, while some crosses the boundary

More information

Computer Graphics. Shading. Page. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science, Technion. The Physics

Computer Graphics. Shading. Page. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science, Technion. The Physics Comuter Grahics Illumiatio Models & The Physics 2 Local vs. Global Illumiatio Models Examle Local model direct ad local iteractio of each object with the light. Ambiet Diffuse Global model: iteractios

More information

Force Network Analysis using Complementary Energy

Force Network Analysis using Complementary Energy orce Network Aalysis usig Complemetary Eergy Adrew BORGART Assistat Professor Delft Uiversity of Techology Delft, The Netherlads A.Borgart@tudelft.l Yaick LIEM Studet Delft Uiversity of Techology Delft,

More information

Homework 1 Solutions MA 522 Fall 2017

Homework 1 Solutions MA 522 Fall 2017 Homework 1 Solutios MA 5 Fall 017 1. Cosider the searchig problem: Iput A sequece of umbers A = [a 1,..., a ] ad a value v. Output A idex i such that v = A[i] or the special value NIL if v does ot appear

More information

Recap: Refraction. Amount of bending depends on: - angle of incidence - refractive index of medium. (n 2 > n 1 ) n 2

Recap: Refraction. Amount of bending depends on: - angle of incidence - refractive index of medium. (n 2 > n 1 ) n 2 Amount of bending depends on: - angle of incidence - refractive index of medium Recap: Refraction λ 1 (n 2 > n 1 ) Snell s Law: When light passes from one transparent medium to another, the rays will be

More information

REFLECTION & REFRACTION

REFLECTION & REFRACTION REFLECTION & REFRACTION OBJECTIVE: To study and verify the laws of reflection and refraction using a plane mirror and a glass block. To see the virtual images that can be formed by the reflection and refraction

More information

Coherent effects of flow- and pressure hull of a generic submarine on target scattering in an active sonar performance model

Coherent effects of flow- and pressure hull of a generic submarine on target scattering in an active sonar performance model Coheret effects of flow- ad pressure hull of a geeric submarie o target scatterig i a active soar performace model P. Schippers TNO-D&V-Uderwater Techology, Oude Waalsdorperweg 63, Post Box 96864, 2509

More information

Lecture 18. Optimization in n dimensions

Lecture 18. Optimization in n dimensions Lecture 8 Optimizatio i dimesios Itroductio We ow cosider the problem of miimizig a sigle scalar fuctio of variables, f x, where x=[ x, x,, x ]T. The D case ca be visualized as fidig the lowest poit of

More information

GEOMETRIC OPTICS. LENSES refract light, so we need to know how light bends when entering and exiting a lens and how that interaction forms an image.

GEOMETRIC OPTICS. LENSES refract light, so we need to know how light bends when entering and exiting a lens and how that interaction forms an image. I. What is GEOMTERIC OPTICS GEOMETRIC OPTICS In geometric optics, LIGHT is treated as imaginary rays. How these rays interact with at the interface of different media, including lenses and mirrors, is

More information

3B SCIENTIFIC PHYSICS

3B SCIENTIFIC PHYSICS 3B SCIENTIFIC PHYSICS Instruction sheet 06/18 ALF Laser Optics Demonstration Set Laser Optics Supplement Set Page 1 2 3 3 3 4 4 4 5 5 5 6 6 6 7 7 7 8 8 8 9 9 9 10 10 10 11 11 11 12 12 12 13 13 13 14 14

More information

Light and refractive index

Light and refractive index 17 Fig. 7.1 shows a ray of light incident on a rectangular glass block at point X. W P X air glass Q R S Fig. 7.1 The ray of light is refracted at X. On Fig. 7.1, (a) draw the normal at X, [1] (b) draw

More information

Cambridge International Examinations Cambridge International General Certificate of Secondary Education. Published

Cambridge International Examinations Cambridge International General Certificate of Secondary Education. Published Cambridge Iteratioal Examiatios Cambridge Iteratioal Geeral Certificate of Secodary Educatio CAMBRIDGE INTERNATIONAL MATHEMATICS 0607/4 Paper 4 (Exteded) May/Jue 06 MARK SCHEME Maximum Mark: 0 Published

More information

A Note on Least-norm Solution of Global WireWarping

A Note on Least-norm Solution of Global WireWarping A Note o Least-orm Solutio of Global WireWarpig Charlie C. L. Wag Departmet of Mechaical ad Automatio Egieerig The Chiese Uiversity of Hog Kog Shati, N.T., Hog Kog E-mail: cwag@mae.cuhk.edu.hk Abstract

More information

Übungsblatt 2 Geometrische und Technische Optik WS 2012/2013

Übungsblatt 2 Geometrische und Technische Optik WS 2012/2013 Übugsblatt 2 Geometrische u Techische Optik WS 202/203 Eie icke Lise besteht aus zwei sphärische Grezfläche mit e beie Krümmugsraie R u R 2, ie eie Absta habe. Die Brechzahle vor er Lise, i er Lise u ach

More information

Computational Geometry

Computational Geometry Computatioal Geometry Chapter 4 Liear programmig Duality Smallest eclosig disk O the Ageda Liear Programmig Slides courtesy of Craig Gotsma 4. 4. Liear Programmig - Example Defie: (amout amout cosumed

More information

Algebra Based Physics

Algebra Based Physics Slide 1 / 66 Slide 2 / 66 Algebra Based Physics Geometric Optics 2015-12-01 www.njctl.org Table of ontents Slide 3 / 66 lick on the topic to go to that section Reflection Spherical Mirror Refraction and

More information

Math 10C Long Range Plans

Math 10C Long Range Plans Math 10C Log Rage Plas Uits: Evaluatio: Homework, projects ad assigmets 10% Uit Tests. 70% Fial Examiatio.. 20% Ay Uit Test may be rewritte for a higher mark. If the retest mark is higher, that mark will

More information

Light: Geometric Optics

Light: Geometric Optics Light: Geometric Optics 23.1 The Ray Model of Light Light very often travels in straight lines. We represent light using rays, which are straight lines emanating from an object. This is an idealization,

More information

Administrative UNSUPERVISED LEARNING. Unsupervised learning. Supervised learning 11/25/13. Final project. No office hours today

Administrative UNSUPERVISED LEARNING. Unsupervised learning. Supervised learning 11/25/13. Final project. No office hours today Admiistrative Fial project No office hours today UNSUPERVISED LEARNING David Kauchak CS 451 Fall 2013 Supervised learig Usupervised learig label label 1 label 3 model/ predictor label 4 label 5 Supervised

More information

Chapter 26 Geometrical Optics

Chapter 26 Geometrical Optics Chapter 26 Geometrical Optics The Reflection of Light: Mirrors: Mirrors produce images because the light that strikes them is reflected, rather than absorbed. Reflected light does much more than produce

More information

Numerical Methods Lecture 6 - Curve Fitting Techniques

Numerical Methods Lecture 6 - Curve Fitting Techniques Numerical Methods Lecture 6 - Curve Fittig Techiques Topics motivatio iterpolatio liear regressio higher order polyomial form expoetial form Curve fittig - motivatio For root fidig, we used a give fuctio

More information

INSCRIBED CIRCLE OF GENERAL SEMI-REGULAR POLYGON AND SOME OF ITS FEATURES

INSCRIBED CIRCLE OF GENERAL SEMI-REGULAR POLYGON AND SOME OF ITS FEATURES INTERNATIONAL JOURNAL OF GEOMETRY Vol. 2 (2013), No. 1, 5-22 INSCRIBED CIRCLE OF GENERAL SEMI-REGULAR POLYGON AND SOME OF ITS FEATURES NENAD U. STOJANOVIĆ Abstract. If above each side of a regular polygo

More information

Physics 30 Lesson 12 Diffraction Gratings

Physics 30 Lesson 12 Diffraction Gratings Physics 30 Lesso 2 Diffractio Gratigs I. Poisso s bright spot Thoas Youg published the results fro his double-slit experiet (Lesso ) i 807 which put the wave theory of light o a fir footig. However, so

More information

Light. Electromagnetic wave with wave-like nature Refraction Interference Diffraction

Light. Electromagnetic wave with wave-like nature Refraction Interference Diffraction Light Electromagnetic wave with wave-like nature Refraction Interference Diffraction Light Electromagnetic wave with wave-like nature Refraction Interference Diffraction Photons with particle-like nature

More information

Lecture 1: Introduction and Strassen s Algorithm

Lecture 1: Introduction and Strassen s Algorithm 5-750: Graduate Algorithms Jauary 7, 08 Lecture : Itroductio ad Strasse s Algorithm Lecturer: Gary Miller Scribe: Robert Parker Itroductio Machie models I this class, we will primarily use the Radom Access

More information

AP* Optics Free Response Questions

AP* Optics Free Response Questions AP* Optics Free Response Questions 1978 Q5 MIRRORS An object 6 centimeters high is placed 30 centimeters from a concave mirror of focal length 10 centimeters as shown above. (a) On the diagram above, locate

More information

Light: Geometric Optics

Light: Geometric Optics Light: Geometric Optics The Ray Model of Light Light very often travels in straight lines. We represent light using rays, which are straight lines emanating from an object. This is an idealization, but

More information

9. RAY OPTICS AND OPTICAL INSTRUMENTS

9. RAY OPTICS AND OPTICAL INSTRUMENTS 9. RAY OPTICS AND OPTICAL INSTRUMENTS 1. Define the terms (a) ray of light & (b) beam of light A ray is defined as the straight line path joining the two points by which light is travelling. A beam is

More information

Descriptive Statistics Summary Lists

Descriptive Statistics Summary Lists Chapter 209 Descriptive Statistics Summary Lists Itroductio This procedure is used to summarize cotiuous data. Large volumes of such data may be easily summarized i statistical lists of meas, couts, stadard

More information

Sorting in Linear Time. Data Structures and Algorithms Andrei Bulatov

Sorting in Linear Time. Data Structures and Algorithms Andrei Bulatov Sortig i Liear Time Data Structures ad Algorithms Adrei Bulatov Algorithms Sortig i Liear Time 7-2 Compariso Sorts The oly test that all the algorithms we have cosidered so far is compariso The oly iformatio

More information

Orientation. Orientation 10/28/15

Orientation. Orientation 10/28/15 Orietatio Orietatio We will defie orietatio to mea a object s istataeous rotatioal cofiguratio Thik of it as the rotatioal equivalet of positio 1 Represetig Positios Cartesia coordiates (x,y,z) are a easy

More information

ENGI 4421 Probability and Statistics Faculty of Engineering and Applied Science Problem Set 1 Descriptive Statistics

ENGI 4421 Probability and Statistics Faculty of Engineering and Applied Science Problem Set 1 Descriptive Statistics ENGI 44 Probability ad Statistics Faculty of Egieerig ad Applied Sciece Problem Set Descriptive Statistics. If, i the set of values {,, 3, 4, 5, 6, 7 } a error causes the value 5 to be replaced by 50,

More information