Graphics Calculator Applications to Maximum and Minimum Problems on Geometric Constructs

Size: px
Start display at page:

Download "Graphics Calculator Applications to Maximum and Minimum Problems on Geometric Constructs"

Transcription

1 Graphics Calculator Applications to Maximum an Minimum Problems on Geometric Constructs Expressing the size of constructs in terms of the istances between the vertices enables one to easily examine other interesting ieas beyon just the size of a construct (point, line segment, trigon, tetraheron, pentatope,) This paper will focus upon the variance, if any, of various attributes of a construct when the istance between a pair of vertices varies The chosen construct is a -D tetraheron since this can be "really" moelle an allows for iscussions involving -D, -D, -D, an 0-D constructs, which can also be reaily perceive Further, to a a little spice to the iscussion, -D angle an -D angle variations will be examine Although a general formulation for the size of any construct will be exploite, for the purposes of gathering specific ata a special tetraheron has been chosen This particular tetraheron is sort of unique in that it is compose of the smallest six consecutive integral lengths that etermine a tetraheron with integral volume This problem was pose in the Mathematics Magazine, February, 97, Problem b an solve by this primary author using the prementione general formula This general formula was originally formulate an proven for the (0-)-D constructs by this primary author uring November, 99, an extene to n-d constructs The extension was proven by Dr Eugene Curtin an this author uring the Fall of 994 Also, a special -D angular ruler, accurate to 0 - raians, was create to irectly measure -D angles, an L Huilier s formula was moifie to express -D angles in steraians The seconary author formatte the calculators an computers, which greatly enhance response time an cognitive unerstaning with graphical impact An, transferre this paper an technological formatings to be publishe in the electronic proceeings The general formula for counting the cubes (point, line segment, square, cube, tesseract,) of a space that tessellate a construct of that space in terms of the istances between the vertices of the construct is where mc ( ) D nxn n n! D nxn n n nn u base upon the istances between three vertices, V o, V i as follows an u n enotes a unit cube of the n-d space that countable tessellates the n-d space Choose a vertex, V o, of the construct V i an V j are any other vertices of the construct (V o ) represents the istance between vertex V o an vertex V j n(v o, V i ) represents the numerical part of that istance between V o an V i n, ij is

2 Similarly, ij n(v o ) an n(v i ) represent corresponing numerical parts [ n( V, V + n( V, V ) ji [ ] [ n( V V 0 i o j i, j, see the first iagram Special case, n V V kk Diagram A representation of the components of ij [ ( [ ( [ ( 0, k + n V0, Vk n Vk, Vk [ nv ( 0, Vk) ] + [ nv ( 0, Vk) ] 0 [ nv ( V 0, k, epicte in Diagram Diagram A representation of the components of special case kk -D Attributes The measure of a -D construct, the volume of a tetraheron, as etermine by the lengths of the eges is: m ( V ) D u (, b, c,, e, f ) a! x

3 u since + e c + f b + e c e e + f a + f b e + f a f [ n( V0, V [ n( V0, V + [ n( V0, V [ n( V, V [ n( V0, V + [ n( V0, V [ n( V, V [ n( V0, V e [ n( V0, V) ] + [ n( V0, V [ n( V, V [ n( V, V f 0 e + e + f + f c b a u, as epicte in Diagram

4 Diagram A general tetraheron To calculate the volume of any tetraheron, program your calculator to calculate: + e c + f b + e c e e + f a + f b e + f a f an to ask for "a,b,c,,e,f " as input ata The following TI- program accomplishes the calculation of the volume: :Disp "THIS PROGRAM WILL FIND THE VOLUME OF ANY TETRAHEDRON" :Prompt A,B,C,D,E :*D L :D+E -C M :D +F -B N :D +E -C O :*E P :E +F -A Q :D +F -B R :E +F -A S :*F T :(/) ((/)*et [[L,M,N][O,P,Q][R,S,T]]) V :Disp "THE VOLUME IS:" :Disp V The tetraheron chosen as a basis for specific ata is the one with the smallest six consecutive integral lengths that etermine an integral volume as epicte in Diagram 4:

5 Diagram 4 Tetraheron with smallest consecutive integral lengths an integral volume Check your calculator to etermine, ( V 7 ) 4u m (,9,,0,,) For the purposes of gathering ata without loss of generality, an iscussing variable attributes of this specific trigon, we will allow ege (V 0, V ) to vary, ie f will be ientifie as a variable, x Program a function, f, such that f () x + e c b e + e e c a e x a b an to ask for "a,b,c,,e" The following TI- program accomplishes the calculation of the volume as a function of x : :Disp "THIS PROGRAM WILL FIND THE VOLUME OF ANY TETRAHEDRON FOR VALUES OF X" :Prompt A,B,C,D,E :"(/) ((/)((D (E *X -(E +X -A ) ))-(D +E -C )((D +E -C )X -(E +X -A )(D +X -B ))+(D +X - B )((D +E -C )(E +X -A )-E (D +X -B ))))" Y :0 Xmin

6 : Xmax :0 Ymin :0 Ymax : Xscl :0 Yscl :DispGraph The graphics calculator will isplay the graph of f an can isplay omain an range values of f The graph combine with orere pairs allows one to approximate the omain of f, ie the minimum an maximum values of x an to observe an approximate functional optimal values of f(x), ie the minimum volume, 0 u, an the maximum volume The following iscrete subsets of f give the functional values of f at integral values of x, subset, an a process of refining the minimum an maximum values of x, subset, subset Subset of f escribes the volume of the given tetraheron (to the nearest 0 - u ) as a function of integral istances between V 0 an V S {(, 79), (4, 74), (5, 7777), (, 45), (7, 4), (, 507), (9, 5599), (0, 57), (, 4), (, 509)} f () i not etermine a tetraheron, suggesting that the minimum value for x is between an an, since f() i not etermine a tetraheron, the maximum value for x is between an An, f (9) suggests a maximum volume of about 5 u when the istance is close to 9 u Subset of f similarly escribes the volume of the tetraheron as a function of the istances between V 0 an V Subset is a focus upon approximating the minimum istance as the volume approaches a minimum of 0 u S {(, 49), (, not), (, 590), (, not), (, 009), (, not), (7, 004), (, not), (9, 00), (, not), (7, 004), (, not),}, not inicating that the value of x i not prouce a tetraheron (iscounting egenerate tetraherons) Subset of f escribes the volume of the tetraheron as a function of the istances between V 0 an V Subset is a focus upon approximating the maximum istance as the volume approaches 0 u S {(, 07), (9, not), (, 95), (7, not), (4, 0), (5, not), (4, 09), (47, not), (4, 0), (4, not), (49, 004), (40, not)}

7 Graph epicts the approximate minimum x, the approximate maximum x, an the associate volumes as (V 0, V ) varies, f Graph Approximate minimum an maximum istances between the vertices V 0 an V an the aproximate maximum volume of the tetraheron etermine by (7,9,,0,,x) associate with f

UNIT 5 QUADRATIC FUNCTIONS Lesson 6: Analyzing Quadratic Functions Instruction

UNIT 5 QUADRATIC FUNCTIONS Lesson 6: Analyzing Quadratic Functions Instruction Prerequisite Skills This lesson requires the use of the following skills: factoring quadratic expressions finding the vertex of a quadratic function Introduction We have studied the key features of the

More information

Organizing and Summarizing Data

Organizing and Summarizing Data Section 2.2 9 Organizing and Summarizing Data Section 2.2 C H A P T E R 2 4 Example 2 (pg. 72) A Histogram for Discrete Data To create a histogram, you have two choices: 1): enter all the individual data

More information

In this activity, students will graph the relationship between the length of the sides of cut-out squares and the volume of the resulting box.

In this activity, students will graph the relationship between the length of the sides of cut-out squares and the volume of the resulting box. Box It Up (A Graphical Approach) ID: 4647 Time required 45 minutes Activity Overview In this activity, students will graph the relationship between the length of the sides of cut-out squares and the volume

More information

Online Appendix to: Generalizing Database Forensics

Online Appendix to: Generalizing Database Forensics Online Appenix to: Generalizing Database Forensics KYRIACOS E. PAVLOU an RICHARD T. SNODGRASS, University of Arizona This appenix presents a step-by-step iscussion of the forensic analysis protocol that

More information

Lesson 8 - Practice Problems

Lesson 8 - Practice Problems Lesson 8 - Practice Problems Section 8.1: A Case for the Quadratic Formula 1. For each quadratic equation below, show a graph in the space provided and circle the number and type of solution(s) to that

More information

THE MATHEMATICS DIVISION OF LEHIGH CARBON COMMUNITY COLLEGE PRESENTS. WORKSHOP II Graphing Functions on the TI-83 and TI-84 Graphing Calculators

THE MATHEMATICS DIVISION OF LEHIGH CARBON COMMUNITY COLLEGE PRESENTS. WORKSHOP II Graphing Functions on the TI-83 and TI-84 Graphing Calculators THE MATHEMATICS DIVISION OF LEHIGH CARBON COMMUNITY COLLEGE PRESENTS WORKSHOP II Graphing Functions on the TI-83 and TI-84 Graphing Calculators Graphing Functions on the TI-83 or 84 Graphing Calculators

More information

Box It Up (A Graphical Look)

Box It Up (A Graphical Look) . Name Date A c t i v i t y 1 0 Box It Up (A Graphical Look) The Problem Ms. Hawkins, the physical sciences teacher at Hinthe Middle School, needs several open-topped boxes for storing laboratory materials.

More information

Dilations With Matrices

Dilations With Matrices About the Lesson In this activity, students use matrices to perform dilations centered at the origin of triangles. As a result, students will: Explore the effect of the scale factor on the size relationship

More information

Getting Started with the TI-83/TI-84 Plus Family of Calculators

Getting Started with the TI-83/TI-84 Plus Family of Calculators Appendix C Getting Started with the TI-83/TI-84 Plus Family of Calculators ON-OFF To turn on the calculator, press the ON key. To turn off the calculator, press 2nd and then ON. Most keys on the calculator

More information

Graphical Solutions (How to solve equations graphically; how to find intersection of two lines)

Graphical Solutions (How to solve equations graphically; how to find intersection of two lines) Graphical Solutions (How to solve equations graphically; how to find intersection of two lines) Dr. Gisela Acosta-Carr. (8-page document) Let us review: Solve the equation 2x + 1 = 7 algebraically. First,

More information

Physics INTERFERENCE OF LIGHT

Physics INTERFERENCE OF LIGHT Physics INTERFERENCE OF LIGHT Q.1 State the principle of superposition of waves an explain the concept of interference of light. Ans. Principle of superposition of waves : When two or more waves, traveling

More information

Multilevel Linear Dimensionality Reduction using Hypergraphs for Data Analysis

Multilevel Linear Dimensionality Reduction using Hypergraphs for Data Analysis Multilevel Linear Dimensionality Reuction using Hypergraphs for Data Analysis Haw-ren Fang Department of Computer Science an Engineering University of Minnesota; Minneapolis, MN 55455 hrfang@csumneu ABSTRACT

More information

Contents 10. Graphs of Trigonometric Functions

Contents 10. Graphs of Trigonometric Functions Contents 10. Graphs of Trigonometric Functions 2 10.2 Sine and Cosine Curves: Horizontal and Vertical Displacement...... 2 Example 10.15............................... 2 10.3 Composite Sine and Cosine

More information

Figure 1: Schematic of an SEM [source: ]

Figure 1: Schematic of an SEM [source:   ] EECI Course: -9 May 1 by R. Sanfelice Hybri Control Systems Eelco van Horssen E.P.v.Horssen@tue.nl Project: Scanning Electron Microscopy Introuction In Scanning Electron Microscopy (SEM) a (bunle) beam

More information

Basic Graphs of the Sine and Cosine Functions

Basic Graphs of the Sine and Cosine Functions Chapter 4: Graphs of the Circular Functions 1 TRIG-Fall 2011-Jordan Trigonometry, 9 th edition, Lial/Hornsby/Schneider, Pearson, 2009 Section 4.1 Graphs of the Sine and Cosine Functions Basic Graphs of

More information

Setting a Window - Finding One That Works. You can enter the dimensions of the graph by accessing button you will see a window like the one below.

Setting a Window - Finding One That Works. You can enter the dimensions of the graph by accessing button you will see a window like the one below. A. Overview 1. WINDOW Setting a Window - Finding One That Works You can enter the dimensions of the graph by accessing button you will see a window like the one below.. When you use this The Xmin and Xmax

More information

The Reconstruction of Graphs. Dhananjay P. Mehendale Sir Parashurambhau College, Tilak Road, Pune , India. Abstract

The Reconstruction of Graphs. Dhananjay P. Mehendale Sir Parashurambhau College, Tilak Road, Pune , India. Abstract The Reconstruction of Graphs Dhananay P. Mehenale Sir Parashurambhau College, Tila Roa, Pune-4030, Inia. Abstract In this paper we iscuss reconstruction problems for graphs. We evelop some new ieas lie

More information

Calculator Notes for the TI-83 and TI-83/84 Plus

Calculator Notes for the TI-83 and TI-83/84 Plus CHAPTER 2 Calculator Notes for the Note 2A Naming Lists In addition to the six standard lists L1 through L6, you can create more lists as needed. You can also give the standard lists meaningful names (of

More information

d 3 d 4 d d d d d d d d d d d 1 d d d d d d

d 3 d 4 d d d d d d d d d d d 1 d d d d d d Proceeings of the IASTED International Conference Software Engineering an Applications (SEA') October 6-, 1, Scottsale, Arizona, USA AN OBJECT-ORIENTED APPROACH FOR MANAGING A NETWORK OF DATABASES Shu-Ching

More information

Foundations of Math II

Foundations of Math II Foundations of Math II Unit 6b: Toolkit Functions Academics High School Mathematics 6.6 Warm Up: Review Graphing Linear, Exponential, and Quadratic Functions 2 6.6 Lesson Handout: Linear, Exponential,

More information

THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE

THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE БСУ Международна конференция - 2 THE BAYESIAN RECEIVER OPERATING CHARACTERISTIC CURVE AN EFFECTIVE APPROACH TO EVALUATE THE IDS PERFORMANCE Evgeniya Nikolova, Veselina Jecheva Burgas Free University Abstract:

More information

Parametric Equations of Line Segments: what is the slope? what is the y-intercept? how do we find the parametric eqtn of a given line segment?

Parametric Equations of Line Segments: what is the slope? what is the y-intercept? how do we find the parametric eqtn of a given line segment? Shears Math 122/126 Parametric Equations Lecture Notes Use David Little's program for the following: Parametric Equations in General: look at default in this program, also spiro graph Parametric Equations

More information

Classifying Facial Expression with Radial Basis Function Networks, using Gradient Descent and K-means

Classifying Facial Expression with Radial Basis Function Networks, using Gradient Descent and K-means Classifying Facial Expression with Raial Basis Function Networks, using Graient Descent an K-means Neil Allrin Department of Computer Science University of California, San Diego La Jolla, CA 9237 nallrin@cs.ucs.eu

More information

Chpt 1. Functions and Graphs. 1.1 Graphs and Graphing Utilities 1 /19

Chpt 1. Functions and Graphs. 1.1 Graphs and Graphing Utilities 1 /19 Chpt 1 Functions and Graphs 1.1 Graphs and Graphing Utilities 1 /19 Chpt 1 Homework 1.1 14, 18, 22, 24, 28, 42, 46, 52, 54, 56, 78, 79, 80, 82 2 /19 Objectives Functions and Graphs Plot points in the rectangular

More information

Exercises of PIV. incomplete draft, version 0.0. October 2009

Exercises of PIV. incomplete draft, version 0.0. October 2009 Exercises of PIV incomplete raft, version 0.0 October 2009 1 Images Images are signals efine in 2D or 3D omains. They can be vector value (e.g., color images), real (monocromatic images), complex or binary

More information

Image Segmentation using K-means clustering and Thresholding

Image Segmentation using K-means clustering and Thresholding Image Segmentation using Kmeans clustering an Thresholing Preeti Panwar 1, Girhar Gopal 2, Rakesh Kumar 3 1M.Tech Stuent, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra,

More information

An Introduction to Graphing Calculator Basics: Graphing Functions and Solving Equations

An Introduction to Graphing Calculator Basics: Graphing Functions and Solving Equations An Introduction to Graphing Calculator Basics: Graphing Functions and Solving Equations Audience: Teachers of mathematics who have little or no experience with graphing calculators. Required Technology:

More information

arxiv: v2 [cond-mat.dis-nn] 30 Mar 2018

arxiv: v2 [cond-mat.dis-nn] 30 Mar 2018 Noname manuscript No. (will be inserte by the eitor) Daan Muler Ginestra Bianconi Networ Geometry an Complexity arxiv:1711.06290v2 [con-mat.is-nn] 30 Mar 2018 Receive: ate / Accepte: ate Abstract Higher

More information

Quadratics Functions: Review

Quadratics Functions: Review Quadratics Functions: Review Name Per Review outline Quadratic function general form: Quadratic function tables and graphs (parabolas) Important places on the parabola graph [see chart below] vertex (minimum

More information

Generalized Edge Coloring for Channel Assignment in Wireless Networks

Generalized Edge Coloring for Channel Assignment in Wireless Networks Generalize Ege Coloring for Channel Assignment in Wireless Networks Chun-Chen Hsu Institute of Information Science Acaemia Sinica Taipei, Taiwan Da-wei Wang Jan-Jan Wu Institute of Information Science

More information

Five Platonic Solids: Three Proofs

Five Platonic Solids: Three Proofs Five Platonic Solids: Three Proofs Vincent J. Matsko IMSA, Dodecahedron Day Workshop 18 November 2011 Convex Polygons convex polygons nonconvex polygons Euler s Formula If V denotes the number of vertices

More information

Inverse Model to Determine the Optimal Number of Drops of RDC Column Using Fuzzy Approach

Inverse Model to Determine the Optimal Number of Drops of RDC Column Using Fuzzy Approach Inverse Moel to Determine the Optimal Number of Drops of RDC Column Using Fuzzy Approach 1 HAFEZ IBRAHIM, 2 JAMALLUDIN TALIB, 3 NORMAH MAAN Department of Mathematics Universiti Teknologi Malaysia 81310

More information

UNIT 9 INTERFEROMETRY

UNIT 9 INTERFEROMETRY UNIT 9 INTERFEROMETRY Structure 9.1 Introuction Objectives 9. Interference of Light 9.3 Light Sources for 9.4 Applie to Flatness Testing 9.5 in Testing of Surface Contour an Measurement of Height 9.6 Interferometers

More information

Computer Graphics Chapter 7 Three-Dimensional Viewing Viewing

Computer Graphics Chapter 7 Three-Dimensional Viewing Viewing Computer Graphics Chapter 7 Three-Dimensional Viewing Outline Overview of Three-Dimensional Viewing Concepts The Three-Dimensional Viewing Pipeline Three-Dimensional Viewing-Coorinate Parameters Transformation

More information

TI-89 TI-92 TI-92 Plus Voyage 200. Quadratic Formula Program. Systems of Linear Equations Program. Graph Reflection Program

TI-89 TI-92 TI-92 Plus Voyage 200. Quadratic Formula Program. Systems of Linear Equations Program. Graph Reflection Program TI-89 TI-92 TI-92 Plus Voyage 200 Quadratic Formula Program This program will display the solutions of a quadratic equation. To use the program, write the quadratic equation in general form and enter the

More information

Bayesian localization microscopy reveals nanoscale podosome dynamics

Bayesian localization microscopy reveals nanoscale podosome dynamics Nature Methos Bayesian localization microscopy reveals nanoscale poosome ynamics Susan Cox, Ewar Rosten, James Monypenny, Tijana Jovanovic-Talisman, Dylan T Burnette, Jennifer Lippincott-Schwartz, Gareth

More information

TIMSS 2011 Fourth Grade Mathematics Item Descriptions developed during the TIMSS 2011 Benchmarking

TIMSS 2011 Fourth Grade Mathematics Item Descriptions developed during the TIMSS 2011 Benchmarking TIMSS 2011 Fourth Grade Mathematics Item Descriptions developed during the TIMSS 2011 Benchmarking Items at Low International Benchmark (400) M01_05 M05_01 M07_04 M08_01 M09_01 M13_01 Solves a word problem

More information

GRAPHING CALCULATOR - WINDOW SIZING

GRAPHING CALCULATOR - WINDOW SIZING Section 1.1 GRAPHING CALCULATOR - WINDOW SIZING WINDOW BUTTON. Xmin= Xmax= Xscl= Ymin= Ymax= Yscl= Xres=resolution, smaller number= clearer graph Larger number=quicker graphing Xscl=5, Yscal=1 Xscl=10,

More information

The Garbage Problem TEACHER NOTES. About the Lesson. Vocabulary. Teacher Preparation and Notes. Activity Materials

The Garbage Problem TEACHER NOTES. About the Lesson. Vocabulary. Teacher Preparation and Notes. Activity Materials About the Lesson In this activity, students will examine data about garbage production, observe comparisons in the data, make predictions based on the data, sketch a graph based on their predictions and

More information

Coupling the User Interfaces of a Multiuser Program

Coupling the User Interfaces of a Multiuser Program Coupling the User Interfaces of a Multiuser Program PRASUN DEWAN University of North Carolina at Chapel Hill RAJIV CHOUDHARY Intel Corporation We have evelope a new moel for coupling the user-interfaces

More information

Skyline Community Search in Multi-valued Networks

Skyline Community Search in Multi-valued Networks Syline Community Search in Multi-value Networs Rong-Hua Li Beijing Institute of Technology Beijing, China lironghuascut@gmail.com Jeffrey Xu Yu Chinese University of Hong Kong Hong Kong, China yu@se.cuh.eu.h

More information

Calculator Notes for the TI-83 Plus and TI-84 Plus

Calculator Notes for the TI-83 Plus and TI-84 Plus CHAPTER 2 Calculator Notes for the Note 2A Basic Statistics You can get several standard statistics for a data set stored in a list. Press STAT CALC 1:1-Var Stats, enter the name of the list, and press

More information

Calculator Tables and Graphs

Calculator Tables and Graphs " Calculator Tables and Graphs In the last investigation, you wrote equations to describe patterns and to show how variables are related. Such equations are used in mathematics, science, economics, and

More information

Raw Data is data before it has been arranged in a useful manner or analyzed using statistical techniques.

Raw Data is data before it has been arranged in a useful manner or analyzed using statistical techniques. Section 2.1 - Introduction Graphs are commonly used to organize, summarize, and analyze collections of data. Using a graph to visually present a data set makes it easy to comprehend and to describe the

More information

An Algorithm for Building an Enterprise Network Topology Using Widespread Data Sources

An Algorithm for Building an Enterprise Network Topology Using Widespread Data Sources An Algorithm for Builing an Enterprise Network Topology Using Wiesprea Data Sources Anton Anreev, Iurii Bogoiavlenskii Petrozavosk State University Petrozavosk, Russia {anreev, ybgv}@cs.petrsu.ru Abstract

More information

TI-84 Calculator Tips, Tricks, and Programs 1 of 11

TI-84 Calculator Tips, Tricks, and Programs 1 of 11 TI-84 Calculator Tips, Tricks, and Programs 1 of 11 Command catalog: a.) [2ND] [CATALOG] b.) press letter to access the Catalog section that begins with the pressed letter c.) scroll down to access a command

More information

Graphing Calculator Overview

Graphing Calculator Overview Graphing Calculator Overview Workshop One Objectives Learn the general layout of the calculator Learn how to navigate the menus Learn basic operating procedures Perform linear regression LEARNING CENTER

More information

PERFECT ONE-ERROR-CORRECTING CODES ON ITERATED COMPLETE GRAPHS: ENCODING AND DECODING FOR THE SF LABELING

PERFECT ONE-ERROR-CORRECTING CODES ON ITERATED COMPLETE GRAPHS: ENCODING AND DECODING FOR THE SF LABELING PERFECT ONE-ERROR-CORRECTING CODES ON ITERATED COMPLETE GRAPHS: ENCODING AND DECODING FOR THE SF LABELING PAMELA RUSSELL ADVISOR: PAUL CULL OREGON STATE UNIVERSITY ABSTRACT. Birchall an Teor prove that

More information

Solutions to Tutorial 1 (Week 8)

Solutions to Tutorial 1 (Week 8) The University of Syney School of Mathematics an Statistics Solutions to Tutorial 1 (Week 8) MATH2069/2969: Discrete Mathematics an Graph Theory Semester 1, 2018 1. In each part, etermine whether the two

More information

Math Calculus I

Math Calculus I Math 1592 - Calculus I A brief Introduction to the TI92/Voyage 200 Here we give a selection of TI commands that we will be using through this course. 1. Basic Commands solve If we type the following solve(x

More information

NEW CONCEPTS LEARNED IN THIS LESSON INCLUDE: Fundamental Theorem of Algebra

NEW CONCEPTS LEARNED IN THIS LESSON INCLUDE: Fundamental Theorem of Algebra 2.5. Graphs of polynomial functions. In the following lesson you will learn to sketch graphs by understanding what controls their behavior. More precise graphs will be developed in the next two lessons

More information

Principles of B-trees

Principles of B-trees CSE465, Fall 2009 February 25 1 Principles of B-trees Noes an binary search Anoe u has size size(u), keys k 1,..., k size(u) 1 chilren c 1,...,c size(u). Binary search property: for i = 1,..., size(u)

More information

Grade VIII. Mathematics Geometry Notes. #GrowWithGreen

Grade VIII. Mathematics Geometry Notes. #GrowWithGreen Grade VIII Mathematics Geometry Notes #GrowWithGreen Polygons can be classified according to their number of sides (or vertices). The sum of all the interior angles of an n -sided polygon is given by,

More information

Polygon Simplification by Minimizing Convex Corners

Polygon Simplification by Minimizing Convex Corners Polygon Simplification by Minimizing Convex Corners Yeganeh Bahoo 1, Stephane Durocher 1, J. Mark Keil 2, Saee Mehrabi 3, Sahar Mehrpour 1, an Debajyoti Monal 1 1 Department of Computer Science, University

More information

Sharp EL-9900 Graphing Calculator

Sharp EL-9900 Graphing Calculator Sharp EL-9900 Graphing Calculator Basic Keyboard Activities General Mathematics Algebra Programming Advanced Keyboard Activities Algebra Calculus Statistics Trigonometry Programming Sharp EL-9900 Graphing

More information

Additional Divide and Conquer Algorithms. Skipping from chapter 4: Quicksort Binary Search Binary Tree Traversal Matrix Multiplication

Additional Divide and Conquer Algorithms. Skipping from chapter 4: Quicksort Binary Search Binary Tree Traversal Matrix Multiplication Aitional Divie an Conquer Algorithms Skipping from chapter 4: Quicksort Binary Search Binary Tree Traversal Matrix Multiplication Divie an Conquer Closest Pair Let s revisit the closest pair problem. Last

More information

Clouds, biological growth, and coastlines are

Clouds, biological growth, and coastlines are L A B 11 KOCH SNOWFLAKE Fractals Clouds, biological growth, and coastlines are examples of real-life phenomena that seem too complex to be described using typical mathematical functions or relationships.

More information

Indexing the Edges A simple and yet efficient approach to high-dimensional indexing

Indexing the Edges A simple and yet efficient approach to high-dimensional indexing Inexing the Eges A simple an yet efficient approach to high-imensional inexing Beng Chin Ooi Kian-Lee Tan Cui Yu Stephane Bressan Department of Computer Science National University of Singapore 3 Science

More information

6 Using Technology Wisely

6 Using Technology Wisely 6 Using Technology Wisely Concepts: Advantages and Disadvantages of Graphing Calculators How Do Calculators Sketch Graphs? When Do Calculators Produce Incorrect Graphs? The Greatest Integer Function Graphing

More information

A FUZZY FRAMEWORK FOR SEGMENTATION, FEATURE MATCHING AND RETRIEVAL OF BRAIN MR IMAGES

A FUZZY FRAMEWORK FOR SEGMENTATION, FEATURE MATCHING AND RETRIEVAL OF BRAIN MR IMAGES A FUZZY FRAMEWORK FOR SEGMENTATION, FEATURE MATCHING AND RETRIEVAL OF BRAIN MR IMAGES Archana.S 1 an Srihar.S 2 1 Department of Information Science an Technology, College of Engineering, Guiny archana.santhira@gmail.com

More information

Bends, Jogs, And Wiggles for Railroad Tracks and Vehicle Guide Ways

Bends, Jogs, And Wiggles for Railroad Tracks and Vehicle Guide Ways Ben, Jogs, An Wiggles for Railroa Tracks an Vehicle Guie Ways Louis T. Klauer Jr., PhD, PE. Work Soft 833 Galer Dr. Newtown Square, PA 19073 lklauer@wsof.com Preprint, June 4, 00 Copyright 00 by Louis

More information

Chapter 2 Scatter Plots and Introduction to Graphing

Chapter 2 Scatter Plots and Introduction to Graphing Chapter 2 Scatter Plots and Introduction to Graphing 2.1 Scatter Plots Relationships between two variables can be visualized by graphing data as a scatter plot. Think of the two list as ordered pairs.

More information

CAMBRIDGE TECHNOLOGY IN MATHS Year 11 TI-89 User guide

CAMBRIDGE TECHNOLOGY IN MATHS Year 11 TI-89 User guide Year 11 TI-89 User guide Page 1 of 17 CAMBRIDGE TECHNOLOGY IN MATHS Year 11 TI-89 User guide CONTENTS Getting started 2 Linear equations and graphs 3 Statistics 5 Sequences 11 Business and related mathematics

More information

FINDING OPTICAL DISPERSION OF A PRISM WITH APPLICATION OF MINIMUM DEVIATION ANGLE MEASUREMENT METHOD

FINDING OPTICAL DISPERSION OF A PRISM WITH APPLICATION OF MINIMUM DEVIATION ANGLE MEASUREMENT METHOD Warsaw University of Technology Faculty of Physics Physics Laboratory I P Joanna Konwerska-Hrabowska 6 FINDING OPTICAL DISPERSION OF A PRISM WITH APPLICATION OF MINIMUM DEVIATION ANGLE MEASUREMENT METHOD.

More information

Euler s Formula. Math 123. March 2006

Euler s Formula. Math 123. March 2006 Euler s Formula Math 123 March 2006 1 Purpose Although Euler s Formula is relatively simple to memorize, it is actually a manifestation of a very deep mathematical phenomenon. In this activity, we will

More information

Methods in Mathematics

Methods in Mathematics Write your name here Surname Other names Pearson Edexcel GCSE Centre Number Candidate Number Methods in Mathematics Unit 2: Methods 2 For Approved Pilot Centres ONLY Foundation Tier Wednesday 12 November

More information

,!7IA3C1-cjfcei!:t;K;k;K;k ISBN Graphing Calculator Reference Card. Addison-Wesley s. Basics. Created in conjuction with

,!7IA3C1-cjfcei!:t;K;k;K;k ISBN Graphing Calculator Reference Card. Addison-Wesley s. Basics. Created in conjuction with Addison-Wesley s Graphing Calculator Reference Card Created in conjuction with Basics Converting Fractions to Decimals The calculator will automatically convert a fraction to a decimal. Type in a fraction,

More information

Grade 6 Math Circles February 19th/20th

Grade 6 Math Circles February 19th/20th Faculty of Mathematics Waterloo, Ontario N2L 3G1 Centre for Education in Mathematics and Computing Grade 6 Math Circles February 19th/20th Tessellations Warm-Up What is the sum of all the angles inside

More information

Top-down Connectivity Policy Framework for Mobile Peer-to-Peer Applications

Top-down Connectivity Policy Framework for Mobile Peer-to-Peer Applications Top-own Connectivity Policy Framework for Mobile Peer-to-Peer Applications Otso Kassinen Mika Ylianttila Junzhao Sun Jussi Ala-Kurikka MeiaTeam Department of Electrical an Information Engineering University

More information

Lesson 1: Analyzing Quadratic Functions

Lesson 1: Analyzing Quadratic Functions UNIT QUADRATIC FUNCTIONS AND MODELING Lesson 1: Analyzing Quadratic Functions Common Core State Standards F IF.7 F IF.8 Essential Questions Graph functions expressed symbolically and show key features

More information

Lesson 11 Interference of Light

Lesson 11 Interference of Light Physics 30 Lesson 11 Interference of Light I. Light Wave or Particle? The fact that light carries energy is obvious to anyone who has focuse the sun's rays with a magnifying glass on a piece of paper an

More information

Calculator Basics TI-83, TI-83 +, TI-84. Index Page

Calculator Basics TI-83, TI-83 +, TI-84. Index Page Calculator Basics TI-83, TI-83 +, TI-84 Index Page Getting Started Page 1 Graphing Page 2 Evaluating Functions page 4 Minimum and Maximum Values Page 5 Table of Values Page 6 Graphing Scatter Plots Page

More information

BMO Round 1 Problem 6 Solutions

BMO Round 1 Problem 6 Solutions BMO 2005 2006 Round 1 Problem 6 Solutions Joseph Myers November 2005 Introduction Problem 6 is: 6. Let T be a set of 2005 coplanar points with no three collinear. Show that, for any of the 2005 points,

More information

Handout 1: Viewing an Animation

Handout 1: Viewing an Animation Handout 1: Viewing an Animation Answer the following questions about the animation your teacher shows in class. 1. Choose one character to focus on. Describe this character s range of motion and emotions,

More information

8.B. The result of Regiomontanus on tetrahedra

8.B. The result of Regiomontanus on tetrahedra 8.B. The result of Regiomontanus on tetrahedra We have already mentioned that Plato s theory that the five regular polyhedra represent the fundamental elements of nature, and in supplement (3.D) to the

More information

The parametric equation below represents a ball being thrown straight up. x(t) = 3 y(t) = 96t! 16t 2

The parametric equation below represents a ball being thrown straight up. x(t) = 3 y(t) = 96t! 16t 2 1 TASK 3.1.2: THROWING Solutions The parametric equation below represents a ball being thrown straight up. x(t) = 3 y(t) = 96t! 16t 2 1. What do you think the graph will look like? Make a sketch below.

More information

Research Question Presentation on the Edge Clique Covers of a Complete Multipartite Graph. Nechama Florans. Mentor: Dr. Boram Park

Research Question Presentation on the Edge Clique Covers of a Complete Multipartite Graph. Nechama Florans. Mentor: Dr. Boram Park Research Question Presentation on the Edge Clique Covers of a Complete Multipartite Graph Nechama Florans Mentor: Dr. Boram Park G: V 5 Vertex Clique Covers and Edge Clique Covers: Suppose we have a graph

More information

Computer Graphics Inf4/MSc. Computer Graphics. Lecture 6 View Projection Taku Komura

Computer Graphics Inf4/MSc. Computer Graphics. Lecture 6 View Projection Taku Komura Computer Graphics Lecture 6 View Projection Taku Komura 1 Overview 1. View transformation 2. Rasterisation Implementation of viewing. Transform into camera coorinates. Perform projection into view volume

More information

Section 1.6. Inverse Functions

Section 1.6. Inverse Functions Section 1.6 Inverse Functions Important Vocabulary Inverse function: Let f and g be two functions. If f(g(x)) = x in the domain of g and g(f(x) = x for every x in the domain of f, then g is the inverse

More information

A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization

A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization 272 INFORMS Journal on Computing 0899-1499 100 1204-0272 $05.00 Vol. 12, No. 4, Fall 2000 2000 INFORMS A Revise Simplex Search Proceure for Stochastic Simulation Response Surface Optimization DAVID G.

More information

On Effectively Determining the Downlink-to-uplink Sub-frame Width Ratio for Mobile WiMAX Networks Using Spline Extrapolation

On Effectively Determining the Downlink-to-uplink Sub-frame Width Ratio for Mobile WiMAX Networks Using Spline Extrapolation On Effectively Determining the Downlink-to-uplink Sub-frame With Ratio for Mobile WiMAX Networks Using Spline Extrapolation Panagiotis Sarigianniis, Member, IEEE, Member Malamati Louta, Member, IEEE, Member

More information

TI-82 TI-83 TI-83 Plus. Quadratic Formula Program. Systems of Linear Equations Program. Graph Reflection Program

TI-82 TI-83 TI-83 Plus. Quadratic Formula Program. Systems of Linear Equations Program. Graph Reflection Program TI-82 TI-83 TI-83 Plus Quadratic Formula Program This program will display the solutions of a quadratic equation or the words No Real Solution. To use the program, write the quadratic equation in general

More information

1 Appendix to notes 2, on Hyperbolic geometry:

1 Appendix to notes 2, on Hyperbolic geometry: 1230, notes 3 1 Appendix to notes 2, on Hyperbolic geometry: The axioms of hyperbolic geometry are axioms 1-4 of Euclid, plus an alternative to axiom 5: Axiom 5-h: Given a line l and a point p not on l,

More information

Interference and diffraction are the important phenomena that distinguish. Interference and Diffraction

Interference and diffraction are the important phenomena that distinguish. Interference and Diffraction C H A P T E R 33 Interference an Diffraction 33- Phase Difference an Coherence 33-2 Interference in Thin Films 33-3 Two-Slit Interference Pattern 33-4 Diffraction Pattern of a Single Slit * 33-5 Using

More information

What is a tessellation???? Give an example... Daily Do from last class Homework Answers 10 7 These are similar: What does y =? x =?

What is a tessellation???? Give an example... Daily Do from last class Homework Answers 10 7 These are similar: What does y =? x =? Daily Do from last class Homework Answers 10 7 These are similar: What does y =? x =? 36 74 0 78 0 154 o 44 48 54 o y x 154 o 78 0 12 74 0 9 1. 8 ft 2. 21m 3. 21 ft 4. 30cm 5. 6mm 6. 16 in 7. yes 9 = 7

More information

Design of Policy-Aware Differentially Private Algorithms

Design of Policy-Aware Differentially Private Algorithms Design of Policy-Aware Differentially Private Algorithms Samuel Haney Due University Durham, NC, USA shaney@cs.ue.eu Ashwin Machanavajjhala Due University Durham, NC, USA ashwin@cs.ue.eu Bolin Ding Microsoft

More information

BIJECTIONS FOR PLANAR MAPS WITH BOUNDARIES

BIJECTIONS FOR PLANAR MAPS WITH BOUNDARIES BIJECTIONS FOR PLANAR MAPS WITH BOUNDARIES OLIVIER BERNARDI AND ÉRIC FUSY Abstract. We present bijections for planar maps with bounaries. In particular, we obtain bijections for triangulations an quarangulations

More information

Perimeter Magic Polygons

Perimeter Magic Polygons Perimeter Magic Polygons In, Terrel Trotter, Jr., then a math teacher in Urbana Illinois, published an article called Magic Triangles of Order n. In, he published a follow up article called Perimeter Magic

More information

Generalized Edge Coloring for Channel Assignment in Wireless Networks

Generalized Edge Coloring for Channel Assignment in Wireless Networks TR-IIS-05-021 Generalize Ege Coloring for Channel Assignment in Wireless Networks Chun-Chen Hsu, Pangfeng Liu, Da-Wei Wang, Jan-Jan Wu December 2005 Technical Report No. TR-IIS-05-021 http://www.iis.sinica.eu.tw/lib/techreport/tr2005/tr05.html

More information

+ b. From this we can derive the following equations:

+ b. From this we can derive the following equations: A. GEOMETRY REVIEW Pythagorean Theorem (A. p. 58) Hypotenuse c Leg a 9º Leg b The Pythagorean Theorem is a statement about right triangles. A right triangle is one that contains a right angle, that is,

More information

Basic Graphing on TI 83 / 84

Basic Graphing on TI 83 / 84 Basic Graphing on TI 83 / 84 A graphing calculator can, of course, graph but only from an equation in function form. That means each equation must be solved for "y". The first activity is to practice solving

More information

2.3. Graphing Calculators; Solving Equations and Inequalities Graphically

2.3. Graphing Calculators; Solving Equations and Inequalities Graphically 2.3 Graphing Calculators; Solving Equations and Inequalities Graphically Solving Equations and Inequalities Graphically To do this, we must first draw a graph using a graphing device, this is your TI-83/84

More information

A shortest path algorithm in multimodal networks: a case study with time varying costs

A shortest path algorithm in multimodal networks: a case study with time varying costs A shortest path algorithm in multimoal networks: a case stuy with time varying costs Daniela Ambrosino*, Anna Sciomachen* * Department of Economics an Quantitative Methos (DIEM), University of Genoa Via

More information

filtering LETTER An Improved Neighbor Selection Algorithm in Collaborative Taek-Hun KIM a), Student Member and Sung-Bong YANG b), Nonmember

filtering LETTER An Improved Neighbor Selection Algorithm in Collaborative Taek-Hun KIM a), Student Member and Sung-Bong YANG b), Nonmember 107 IEICE TRANS INF & SYST, VOLE88 D, NO5 MAY 005 LETTER An Improve Neighbor Selection Algorithm in Collaborative Filtering Taek-Hun KIM a), Stuent Member an Sung-Bong YANG b), Nonmember SUMMARY Nowaays,

More information

Comparison of Methods for Increasing the Performance of a DUA Computation

Comparison of Methods for Increasing the Performance of a DUA Computation Comparison of Methos for Increasing the Performance of a DUA Computation Michael Behrisch, Daniel Krajzewicz, Peter Wagner an Yun-Pang Wang Institute of Transportation Systems, German Aerospace Center,

More information

Lesson 8 Introduction to Quadratic Functions

Lesson 8 Introduction to Quadratic Functions Lesson 8 Introduction to Quadratic Functions We are leaving exponential and logarithmic functions behind and entering an entirely different world. As you work through this lesson, you will learn to identify

More information

TI-80. Quadratic Formula Program. Systems of Linear Equations Program. Graph Reflection Program. Visualizing Row Operations Program not available

TI-80. Quadratic Formula Program. Systems of Linear Equations Program. Graph Reflection Program. Visualizing Row Operations Program not available TI-80 Quadratic Formula This program will display the solutions of a quadratic equation or the words No Real Solution. To use the program, write the quadratic equation in general form and enter the values

More information

Animated Surface Pasting

Animated Surface Pasting Animate Surface Pasting Clara Tsang an Stephen Mann Computing Science Department University of Waterloo 200 University Ave W. Waterloo, Ontario Canaa N2L 3G1 e-mail: clftsang@cgl.uwaterloo.ca, smann@cgl.uwaterloo.ca

More information

NAND flash memory is widely used as a storage

NAND flash memory is widely used as a storage 1 : Buffer-Aware Garbage Collection for Flash-Base Storage Systems Sungjin Lee, Dongkun Shin Member, IEEE, an Jihong Kim Member, IEEE Abstract NAND flash-base storage evice is becoming a viable storage

More information

arxiv: v2 [math.co] 5 Jun 2018

arxiv: v2 [math.co] 5 Jun 2018 Some useful lemmas on the ege Szege inex arxiv:1805.06578v [math.co] 5 Jun 018 Shengjie He 1 1. Department of Mathematics, Beijing Jiaotong University, Beijing, 100044, China Abstract The ege Szege inex

More information