1-D Convection-Diffusion Lab

Size: px
Start display at page:

Download "1-D Convection-Diffusion Lab"

Transcription

1 Computational Fluid Dynamics -D Convection-Diffusion Lab The lab. uses scientificworkplace symbolic calculus and maths editor software (SWP) This file Concevtion-Diffusion-Lab is available from Blackboard or Copy it in a new directory on your local work drive, then open it with SWP Remember to save frequently it as SWP can crash or hang rather more frequently when handled by beginers) Consider the D steady-state convection diffusion of a scalar f : u ν d2 f = 0 with boundary conditions f(x = 0) = 0 and f(x = L) =. The problem is characterized by the global Peclet number P e = ul/ν and the equation is then written: P e L d2 f = 0 The domain L is divided into n equal intervals of size x. We divide the ODE by ν and multiply by x 2 to render it non-dimensional or: u x ν x ( x)2 d2 f = 0 p x ( x)2 d2 f = 0 where p = u x/ν is the cell Peclet number. This allows to introduce dimensionless convection and diffusion operators C = ( x) d The diffusion operator is discretized as: d 2 f i D = ( x) 2 d2 = f i 2f i + f i+ ( x) 2 = ( x) 2 (D. F) i Line i of the vector D. F is (D. F) i = f i 2f i + f i+ Define the corresponding Matrix D by deleting the? mark, and following the sequence of commands: Maple, Matrix, Fill Matrix, rows, lines, banded, a,b,c, (a,b,c,are the 3 coefficients appearing on the diagonals). Place the cursor to the right of D = [?] then click on the new definition button f(x)= to define D D =? The objective of the lab is to compare the upwind and centered discretizations of the convection term. Upwind Convection Scheme (UCS) The upwind discretization (assuming u > 0) is: = f i f i i x Define the corresponding Matrix C C = [?] Hence the system of linear equations to solve is: = x (CF) i

2 (pc D)F = B with F = f f 2 f 3 f 4 f 5 f 6 f 7 f 8 f f f B = transpose: (To define F and B for SWP first transpose the line into column vector using: compute -> matrices -> transpose To implement the boundary conditions one needs to modify the first and last lines of C and D in order that f = 0 and f =. The first and last lines of the system will be: (pc, D, )f + (pc,2 D,2 )f 2 = B (pc, D, )f + (pc, D, )f = B Set the coefficients C,, C,2... D,.. D, for the Dirichlet conditions f = 0 and f =. Hint: ( 0 p ( ))f = 0 (0 p ( ))f = To do this, go back and copy C and D below, make the required modifications for boundary conditions, then click on the define button again. Also use command define for F and B. p = 0. 5 Click define while on the right of p = 0. 5 Click define while in the right of the above, One can see the matrix by selecting Maple evaluate Click Maple, Solve To check wether your system is correctly set up, replace p = 0. 5 by p = 0. The expected solution is then obvious ( your are solving ν d2 f = 0, which function with zero second derivative verifies the boundary conditions?) Remember to go through the define after and below each time you change the value of p. The symbolic calculator updates its database only after define, not as you type. p = p = 2 Creating (x, f) sets In order to plot the results one needs to create a vector of X = (0., 0.,... x i,.. ) positions. Instead of filling the vector by hand, first define a function: a(i) = (i )/ Then delete the? below, click Maple, fill matrix, lines=, colums=, define by function, and type, a X = [?] To create an (x, f) set of results, copy and paste side by side the column of X values and the column of F values obtained previously, then Maple, matrix, concatenate. Your results should look like this (in this example all but first and last values have been

3 deleted ) p = 0. 5: p = : p = 2 : By setting the cursor to the right of any set, and clicking the x-y button (or maple, 2D plot) one can create a graph. To plot all three on the same graph, copy the second set, click on the lower right icon of the first graph, select the plot component menu, click add item, and paste the second set. Get familiar with the various options of the graph tool. Centered Convection Scheme (CCS) The centered dicretisation corresponds to: C = [?] p = 0. 5 i = f i+ f i 2 x = x (CF) i then repeat with p=,., 2 and 3. Note that the coefficient with the largest magnitude (absolute value) is now no longer on Comparison with exact solution: Previously, Maple was operating on numbers, just like a Fortran program, but it can also interpret and manipulate mathematical expressions, this is known as symbolic calculus. Consider now the continuous problem: P e L d2 f = 0 In the numerical application, we have used L =, n = intervals and the cell Peclet number p = P e /n as a parameter. The problem is thus written as: p d2 f = 0 f(0) = 0 f() = Maple can solve this for you, by selecting solve ODE (if the parameter p does not appear, it is because it is replaced by it s last given numerical value, to cure this, use the sequence undefine under the maple define menu ).

4 Upwind Centered Solutions for p = 0. 5 (P e = 5) are plotted above. (Numerical in black, exact in red). Lab Report Questions: A) Compelete the 2 graphs above for cell Peclet = and cell Peclet = 2 AND COMMENT THE RESULTS. B) To personalise your report, take the last two digits xy of your student registration number and complete the graphs above for p =. xy (example, if your student number is SN=23456, then apply the UDS and CDS schemes for p =. 56 ) C) Observe that the upwind solution for p = 2 actually corresponds to (overlaps) the exact solution for p =. Show that this is because the truncation error of the UDS has the same magnitude as the real diffusion term, hence the error amounts to doubling the viscosity. D) Apply the centered scheme to p = 2. xy (your SN last digits) and comment. - Only print the graphs and comments for the above questions, NOT the detailed introduction, matrices etc.. Your report should not exceed 4 pages. - Hand in your report to D. Laurence during the CFD lecture, Thursday 25 November. - You may print directly from the SWP software (menu: file, then print). The style of the report is not important here ( latex typeseting available from menu: typeset, is used for journal papers or PhD dissertations) Possible extensions: (Not part of the Lab report) - Direclty compute A and observe that all terms are non-zero. What are the eigen-values?

5 compare the condition number of the matrice for different schemes and Peclet numbers. - Use the Richardson extrapolation to improve the UDS solution. - Implement a 3rd order upwind scheme discretisation (except for the boudary conditions) and test it for p =., p =. xy and p = 2 - Test the 3rd order upwind scheme to see if it works for Peclet > 2.

BCMB/CHEM 8190 Lab Exercise Using Maple for NMR Data Processing and Pulse Sequence Design March 2012

BCMB/CHEM 8190 Lab Exercise Using Maple for NMR Data Processing and Pulse Sequence Design March 2012 BCMB/CHEM 8190 Lab Exercise Using Maple for NMR Data Processing and Pulse Sequence Design March 2012 Introduction Maple is a powerful collection of routines to aid in the solution of mathematical problems

More information

Pre-Calculus I. For example, the system. x y 2 z. may be represented by the augmented matrix

Pre-Calculus I. For example, the system. x y 2 z. may be represented by the augmented matrix Pre-Calculus I 8.1 Matrix Solutions to Linear Systems A matrix is a rectangular array of elements. o An array is a systematic arrangement of numbers or symbols in rows and columns. Matrices (the plural

More information

MATLAB BASICS. Instructor: Prof. Shahrouk Ahmadi. TA: Kartik Bulusu

MATLAB BASICS. Instructor: Prof. Shahrouk Ahmadi. TA: Kartik Bulusu MATLAB BASICS Instructor: Prof. Shahrouk Ahmadi 1. What are M-files TA: Kartik Bulusu M-files are files that contain a collection of MATLAB commands or are used to define new MATLAB functions. For the

More information

Lab 6: Linear Algebra

Lab 6: Linear Algebra 6.1 Introduction Lab 6: Linear Algebra This lab is aimed at demonstrating Python s ability to solve linear algebra problems. At the end of the assignment, you should be able to write code that sets up

More information

Example 1 (Characteristic Equation, Eigenvalue, and Eigenvector)

Example 1 (Characteristic Equation, Eigenvalue, and Eigenvector) Matlab Lab 3 Example 1 (Characteristic Equation, Eigenvalue, and Eigenvector) A polynomial equation is uniquely determined by the coefficients of the monomial terms. For example, the quadratic equation

More information

Lab 1: Dynamic Simulation Using Simulink and Matlab

Lab 1: Dynamic Simulation Using Simulink and Matlab Lab 1: Dynamic Simulation Using Simulink and Matlab Objectives In this lab you will learn how to use a program called Simulink to simulate dynamic systems. Simulink runs under Matlab and uses block diagrams

More information

1. Open polymath: 2. Go to Help, Contents F1 or Press F1

1. Open polymath: 2. Go to Help, Contents F1 or Press F1 Polymath Tutorial Process Fluid Transport 1. Open polymath: 2. Go to Help, Contents F1 or Press F1 1 3. Read the section titled Introduction to Polymath both getting started and Variables and expressions

More information

Lab #10 Atomic Radius Rubric o Missing 1 out of 4 o Missing 2 out of 4 o Missing 3 out of 4

Lab #10 Atomic Radius Rubric o Missing 1 out of 4 o Missing 2 out of 4 o Missing 3 out of 4 Name: Date: Chemistry ~ Ms. Hart Class: Anions or Cations 4.7 Relationships Among Elements Lab #10 Background Information The periodic table is a wonderful source of information about all of the elements

More information

Introduction to Matlab

Introduction to Matlab History of Matlab Starting Matlab Matrix operation Introduction to Matlab Useful commands in linear algebra Scripts-M file Use Matlab to explore the notion of span and the geometry of eigenvalues and eigenvectors.

More information

DISCRETE RANDOM VARIABLES EXCEL LAB #3

DISCRETE RANDOM VARIABLES EXCEL LAB #3 DISCRETE RANDOM VARIABLES EXCEL LAB #3 ECON/BUSN 180: Quantitative Methods for Economics and Business Department of Economics and Business Lake Forest College Lake Forest, IL 60045 Copyright, 2011 Overview

More information

1 Introduction to Minitab

1 Introduction to Minitab 1 Introduction to Minitab Minitab is a statistical analysis software package. The software is freely available to all students and is downloadable through the Technology Tab at my.calpoly.edu. When you

More information

Newton's 2 nd Law. . Your end results should only be interms of m

Newton's 2 nd Law. . Your end results should only be interms of m Newton's nd Law Introduction: In today's lab you will demonstrate the validity of Newton's Laws in predicting the motion of a simple mechanical system. The system that you will investigate consists of

More information

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK What is SIMULINK? SIMULINK is a software package for modeling, simulating, and analyzing

More information

Conservation of Mechanical Energy Activity Purpose

Conservation of Mechanical Energy Activity Purpose Conservation of Mechanical Energy Activity Purpose During the lab, students will become familiar with solving a problem involving the conservation of potential and kinetic energy. A cart is attached to

More information

Designing Information Devices and Systems I Fall 2018 Homework 5

Designing Information Devices and Systems I Fall 2018 Homework 5 Last Updated: 08-09-9 0:6 EECS 6A Designing Information Devices and Systems I Fall 08 Homework 5 This homework is due September 8, 08, at 3:59. Self-grades are due October, 08, at 3:59. Submission Format

More information

Geometry Summer Assignment 2018

Geometry Summer Assignment 2018 Geometry Summer Assignment 2018 The following packet contains topics and definitions that you will be required to know in order to succeed in Geometry this year. You are advised to be familiar with each

More information

LAB 1: MATLAB - Introduction to Programming. Objective:

LAB 1: MATLAB - Introduction to Programming. Objective: LAB 1: MATLAB - Introduction to Programming Objective: The objective of this laboratory is to review how to use MATLAB as a programming tool and to review a classic analytical solution to a steady-state

More information

OCEAN/ESS 410 Lab 4. Earthquake location

OCEAN/ESS 410 Lab 4. Earthquake location Lab 4. Earthquake location To complete this exercise you will need to (a) Complete the table on page 2. (b) Identify phases on the seismograms on pages 3-6 as requested on page 11. (c) Locate the earthquake

More information

Math 314 Lecture Notes Section 006 Fall 2006

Math 314 Lecture Notes Section 006 Fall 2006 Math 314 Lecture Notes Section 006 Fall 2006 CHAPTER 1 Linear Systems of Equations First Day: (1) Welcome (2) Pass out information sheets (3) Take roll (4) Open up home page and have students do same

More information

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to 1.1. Introduction Linear algebra is a specific branch of mathematics dealing with the study of vectors, vector spaces with functions that

More information

Fall Inverse of a matrix. Institute: UC San Diego. Authors: Alexander Knop

Fall Inverse of a matrix. Institute: UC San Diego. Authors: Alexander Knop Fall 2017 Inverse of a matrix Authors: Alexander Knop Institute: UC San Diego Row-Column Rule If the product AB is defined, then the entry in row i and column j of AB is the sum of the products of corresponding

More information

USE OF MATLAB TO UNDERSTAND BASIC MATHEMATICS

USE OF MATLAB TO UNDERSTAND BASIC MATHEMATICS USE OF MATLAB TO UNDERSTAND BASIC MATHEMATICS Sanjay Gupta P. G. Department of Mathematics, Dev Samaj College For Women, Punjab ( India ) ABSTRACT In this paper, we talk about the ways in which computer

More information

Remember that C is a constant and ë and n are variables. This equation now fits the template of a straight line:

Remember that C is a constant and ë and n are variables. This equation now fits the template of a straight line: CONVERTING NON-LINEAR GRAPHS INTO LINEAR GRAPHS Linear graphs have several important attributes. First, it is easy to recognize a graph that is linear. It is much more difficult to identify if a curved

More information

Conservation of Mechanical Energy Activity Purpose

Conservation of Mechanical Energy Activity Purpose Conservation of Mechanical Energy Activity Purpose During the lab, students will become familiar with solving a problem involving the conservation of potential and kinetic energy. A cart is attached to

More information

Lab 15 Taylor Polynomials

Lab 15 Taylor Polynomials Name Student ID # Instructor Lab Period Date Due Lab 15 Taylor Polynomials Objectives 1. To develop an understanding for error bound, error term, and interval of convergence. 2. To visualize the convergence

More information

Using Microsoft Excel

Using Microsoft Excel Using Microsoft Excel Objective: Students will gain familiarity with using Excel to record data, display data properly, use built-in formulae to do calculations, and plot and fit data with linear functions.

More information

A primer on matrices

A primer on matrices A primer on matrices Stephen Boyd August 4, 2007 These notes describe the notation of matrices, the mechanics of matrix manipulation, and how to use matrices to formulate and solve sets of simultaneous

More information

BUILDING BASICS WITH HYPERCHEM LITE

BUILDING BASICS WITH HYPERCHEM LITE BUILDING BASICS WITH HYPERCHEM LITE LAB MOD1.COMP From Gannon University SIM INTRODUCTION A chemical bond is a link between atoms resulting from the mutual attraction of their nuclei for electrons. There

More information

Algebra & Trig. I. For example, the system. x y 2 z. may be represented by the augmented matrix

Algebra & Trig. I. For example, the system. x y 2 z. may be represented by the augmented matrix Algebra & Trig. I 8.1 Matrix Solutions to Linear Systems A matrix is a rectangular array of elements. o An array is a systematic arrangement of numbers or symbols in rows and columns. Matrices (the plural

More information

Building Inflation Tables and CER Libraries

Building Inflation Tables and CER Libraries Building Inflation Tables and CER Libraries January 2007 Presented by James K. Johnson Tecolote Research, Inc. Copyright Tecolote Research, Inc. September 2006 Abstract Building Inflation Tables and CER

More information

Experiment 14 It s Snow Big Deal

Experiment 14 It s Snow Big Deal Experiment 14 It s Snow Big Deal OUTCOMES After completing this experiment, the student should be able to: use computer-based data acquisition techniques to measure temperatures. draw appropriate conclusions

More information

Lecture #19 MINEQL: Intro & Tutorial Benjamin; Chapter 6

Lecture #19 MINEQL: Intro & Tutorial Benjamin; Chapter 6 Updated: 6 October 2013 Print version Lecture #19 MINEQL: Intro & Tutorial Benjamin; Chapter 6 David Reckhow CEE 680 #19 1 MINEQL today MINEQL is available from Environmental Research Software: http://www.mineql.com/

More information

Getting started with BatchReactor Example : Simulation of the Chlorotoluene chlorination

Getting started with BatchReactor Example : Simulation of the Chlorotoluene chlorination Getting started with BatchReactor Example : Simulation of the Chlorotoluene chlorination 2011 ProSim S.A. All rights reserved. Introduction This document presents the different steps to follow in order

More information

Lab Partner(s) TA Initials (on completion) EXPERIMENT 7: ANGULAR KINEMATICS AND TORQUE

Lab Partner(s) TA Initials (on completion) EXPERIMENT 7: ANGULAR KINEMATICS AND TORQUE TA name Lab section Date TA Initials (on completion) Name UW Student ID # Lab Partner(s) EXPERIMENT 7: ANGULAR KINEMATICS AND TORQUE 117 Textbook Reference: Walker, Chapter 10-1,2, Chapter 11-1,3 SYNOPSIS

More information

AP PHYSICS C Mechanics - SUMMER ASSIGNMENT FOR

AP PHYSICS C Mechanics - SUMMER ASSIGNMENT FOR AP PHYSICS C Mechanics - SUMMER ASSIGNMENT FOR 2018-2019 Dear Student: The AP physics course you have signed up for is designed to prepare you for a superior performance on the AP test. To complete material

More information

PolarSync Quick Start

PolarSync Quick Start PolarSync Quick Start Installation and Use In this Quick Start guide, we will cover installing the PolarSync program and using it as a teacher, student or guest. I. Installing PolarSync... 1 II. Teacher

More information

ISIS/Draw "Quick Start"

ISIS/Draw Quick Start ISIS/Draw "Quick Start" Click to print, or click Drawing Molecules * Basic Strategy 5.1 * Drawing Structures with Template tools and template pages 5.2 * Drawing bonds and chains 5.3 * Drawing atoms 5.4

More information

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra

SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear Algebra 1.1. Introduction SAMPLE OF THE STUDY MATERIAL PART OF CHAPTER 1 Introduction to Linear algebra is a specific branch of mathematics dealing with the study of vectors, vector spaces with functions that

More information

Linear Motion with Constant Acceleration

Linear Motion with Constant Acceleration Linear Motion 1 Linear Motion with Constant Acceleration Overview: First you will attempt to walk backward with a constant acceleration, monitoring your motion with the ultrasonic motion detector. Then

More information

Matrices A matrix is a rectangular array of numbers. For example, the following rectangular arrays of numbers are matrices: 2 1 2

Matrices A matrix is a rectangular array of numbers. For example, the following rectangular arrays of numbers are matrices: 2 1 2 Matrices A matrix is a rectangular array of numbers For example, the following rectangular arrays of numbers are matrices: 7 A = B = C = 3 6 5 8 0 6 D = [ 3 5 7 9 E = 8 7653 0 Matrices vary in size An

More information

PHYSICS LAB Experiment 7 Fall 2004 CONSERVATION OF MOMENTUM & COLLISIONS

PHYSICS LAB Experiment 7 Fall 2004 CONSERVATION OF MOMENTUM & COLLISIONS PHYSICS 83 - LAB Experiment 7 Fall 004 CONSERVATION OF MOMENTUM & COLLISIONS In this experiment we will study how the total vector momentum of an isolated system is conserved (remains constant) in collisions.

More information

Computer simulation of radioactive decay

Computer simulation of radioactive decay Computer simulation of radioactive decay y now you should have worked your way through the introduction to Maple, as well as the introduction to data analysis using Excel Now we will explore radioactive

More information

Introduction. How to use this book. Linear algebra. Mathematica. Mathematica cells

Introduction. How to use this book. Linear algebra. Mathematica. Mathematica cells Introduction How to use this book This guide is meant as a standard reference to definitions, examples, and Mathematica techniques for linear algebra. Complementary material can be found in the Help sections

More information

From BASIS DD to Barista Application in Five Easy Steps

From BASIS DD to Barista Application in Five Easy Steps Y The steps are: From BASIS DD to Barista Application in Five Easy Steps By Jim Douglas our current BASIS Data Dictionary is perfect raw material for your first Barista-brewed application. Barista facilitates

More information

SYMBOLIC AND NUMERICAL COMPUTING FOR CHEMICAL KINETIC REACTION SCHEMES

SYMBOLIC AND NUMERICAL COMPUTING FOR CHEMICAL KINETIC REACTION SCHEMES SYMBOLIC AND NUMERICAL COMPUTING FOR CHEMICAL KINETIC REACTION SCHEMES by Mark H. Holmes Yuklun Au J. W. Stayman Department of Mathematical Sciences Rensselaer Polytechnic Institute, Troy, NY, 12180 Abstract

More information

Measurements of a Table

Measurements of a Table Measurements of a Table OBJECTIVES to practice the concepts of significant figures, the mean value, the standard deviation of the mean and the normal distribution by making multiple measurements of length

More information

EXPERIMENT 7: ANGULAR KINEMATICS AND TORQUE (V_3)

EXPERIMENT 7: ANGULAR KINEMATICS AND TORQUE (V_3) TA name Lab section Date TA Initials (on completion) Name UW Student ID # Lab Partner(s) EXPERIMENT 7: ANGULAR KINEMATICS AND TORQUE (V_3) 121 Textbook Reference: Knight, Chapter 13.1-3, 6. SYNOPSIS In

More information

Lab 3 Momentum Change and Impulse

Lab 3 Momentum Change and Impulse Lab 3 Momentum Change and Impulse Objectives: < To measure the change in momentum of a cart in a collision and the impulse acting on it during the collision and to compare these values as a test of the

More information

Math Assignment 3 - Linear Algebra

Math Assignment 3 - Linear Algebra Math 216 - Assignment 3 - Linear Algebra Due: Tuesday, March 27. Nothing accepted after Thursday, March 29. This is worth 15 points. 10% points off for being late. You may work by yourself or in pairs.

More information

August 7, 2007 NUMERICAL SOLUTION OF LAPLACE'S EQUATION

August 7, 2007 NUMERICAL SOLUTION OF LAPLACE'S EQUATION August 7, 007 NUMERICAL SOLUTION OF LAPLACE'S EQUATION PURPOSE: This experiment illustrates the numerical solution of Laplace's Equation using a relaxation method. The results of the relaxation method

More information

Created: 2/3/96 Modified: September 29, Author: Theresa Julia Zielinski Page 1

Created: 2/3/96 Modified: September 29, Author: Theresa Julia Zielinski Page 1 Exploring Orthonormal Functions by Theresa Julia Zielinski Department of Chemistry, Medical Technology, and Physics Monmouth University West Long Branch, NJ 7764-898 tzielins@monmouth.edu Copyright 7 by

More information

From BASIS DD to Barista Application in Five Easy Steps

From BASIS DD to Barista Application in Five Easy Steps Y The steps are: From BASIS DD to Barista Application in Five Easy Steps By Jim Douglas our current BASIS Data Dictionary is perfect raw material for your first Barista-brewed application. Barista facilitates

More information

Refine & Validate. In the *.res file, be sure to add the following four commands after the UNIT instruction and before any atoms: ACTA CONF WPDB -2

Refine & Validate. In the *.res file, be sure to add the following four commands after the UNIT instruction and before any atoms: ACTA CONF WPDB -2 Refine & Validate Refinement is simply a way to improve the fit between the measured intensities and the intensities calculated from the model. The peaks in the difference map and the list of worst fitting

More information

Lab 1 Uniform Motion - Graphing and Analyzing Motion

Lab 1 Uniform Motion - Graphing and Analyzing Motion Lab 1 Uniform Motion - Graphing and Analyzing Motion Objectives: < To observe the distance-time relation for motion at constant velocity. < To make a straight line fit to the distance-time data. < To interpret

More information

Lesson 1: Inverses of Functions Lesson 2: Graphs of Polynomial Functions Lesson 3: 3-Dimensional Space

Lesson 1: Inverses of Functions Lesson 2: Graphs of Polynomial Functions Lesson 3: 3-Dimensional Space Table of Contents Introduction.............................................................. v Unit 1: Modeling with Matrices... 1 Lesson 2: Solving Problems Using Matrices.................................

More information

Lab 1: Importing Data, Rectification, Datums, Projections, and Coordinate Systems

Lab 1: Importing Data, Rectification, Datums, Projections, and Coordinate Systems Lab 1: Importing Data, Rectification, Datums, Projections, and Coordinate Systems Topics covered in this lab: i. Importing spatial data to TAS ii. Rectification iii. Conversion from latitude/longitude

More information

Lab 5: Calculating an equilibrium constant

Lab 5: Calculating an equilibrium constant Chemistry 162 The following write-up is inaccurate for the particular chemicals we are using. Please have all sections up through and including the data tables ready before class on Wednesday, February

More information

Using Tables and Graphing Calculators in Math 11

Using Tables and Graphing Calculators in Math 11 Using Tables and Graphing Calculators in Math 11 Graphing calculators are not required for Math 11, but they are likely to be helpful, primarily because they allow you to avoid the use of tables in some

More information

Exercise Set Suppose that A, B, C, D, and E are matrices with the following sizes: A B C D E

Exercise Set Suppose that A, B, C, D, and E are matrices with the following sizes: A B C D E Determine the size of a given matrix. Identify the row vectors and column vectors of a given matrix. Perform the arithmetic operations of matrix addition, subtraction, scalar multiplication, and multiplication.

More information

Foundations of Computation

Foundations of Computation The Australian National University Semester 2, 2018 Research School of Computer Science Tutorial 1 Dirk Pattinson Foundations of Computation The tutorial contains a number of exercises designed for the

More information

2: SIMPLE HARMONIC MOTION

2: SIMPLE HARMONIC MOTION 2: SIMPLE HARMONIC MOTION Motion of a mass hanging from a spring If you hang a mass from a spring, stretch it slightly, and let go, the mass will go up and down over and over again. That is, you will get

More information

Motion II. Goals and Introduction

Motion II. Goals and Introduction Motion II Goals and Introduction As you have probably already seen in lecture or homework, and if you ve performed the experiment Motion I, it is important to develop a strong understanding of how to model

More information

Chemistry 14CL. Worksheet for the Molecular Modeling Workshop. (Revised FULL Version 2012 J.W. Pang) (Modified A. A. Russell)

Chemistry 14CL. Worksheet for the Molecular Modeling Workshop. (Revised FULL Version 2012 J.W. Pang) (Modified A. A. Russell) Chemistry 14CL Worksheet for the Molecular Modeling Workshop (Revised FULL Version 2012 J.W. Pang) (Modified A. A. Russell) Structure of the Molecular Modeling Assignment The molecular modeling assignment

More information

Developing a Scientific Theory

Developing a Scientific Theory Name Date Developing a Scientific Theory Equipment Needed Qty Equipment Needed Qty Photogate/Pulley System (ME-6838) 1 String (SE-8050) 1 Mass and Hanger Set (ME-8967) 1 Universal Table Clamp (ME-9376B)

More information

ON SITE SYSTEMS Chemical Safety Assistant

ON SITE SYSTEMS Chemical Safety Assistant ON SITE SYSTEMS Chemical Safety Assistant CS ASSISTANT WEB USERS MANUAL On Site Systems 23 N. Gore Ave. Suite 200 St. Louis, MO 63119 Phone 314-963-9934 Fax 314-963-9281 Table of Contents INTRODUCTION

More information

Lab Activity: The Central Limit Theorem

Lab Activity: The Central Limit Theorem Lab Activity: The Central Limit Theorem In this lab activity, you will explore the properties of the Central Limit Theorem. Student Learning Outcomes By the end of this chapter, you should be able to do

More information

TALLINN UNIVERSITY OF TECHNOLOGY, INSTITUTE OF PHYSICS 6. THE TEMPERATURE DEPENDANCE OF RESISTANCE

TALLINN UNIVERSITY OF TECHNOLOGY, INSTITUTE OF PHYSICS 6. THE TEMPERATURE DEPENDANCE OF RESISTANCE 6. THE TEMPERATURE DEPENDANCE OF RESISTANCE 1. Objective Determining temperature coefficient of metal and activation energy of self-conductance of semiconductor sample. 2. Equipment needed Metal and semiconductor

More information

Covariance to PCA. CS 510 Lecture #8 February 17, 2014

Covariance to PCA. CS 510 Lecture #8 February 17, 2014 Covariance to PCA CS 510 Lecture 8 February 17, 2014 Status Update Programming Assignment 2 is due March 7 th Expect questions about your progress at the start of class I still owe you Assignment 1 back

More information

DSP First. Laboratory Exercise #10. The z, n, and ˆω Domains

DSP First. Laboratory Exercise #10. The z, n, and ˆω Domains DSP First Laboratory Exercise #10 The z, n, and ˆω Domains 1 Objective The objective for this lab is to build an intuitive understanding of the relationship between the location of poles and zeros in the

More information

CALIFORNIA STATE UNIVERSITY, BAKERSFIELD (CSUB) Laboratory 3

CALIFORNIA STATE UNIVERSITY, BAKERSFIELD (CSUB) Laboratory 3 ALIFORNIA STATE UNIERSITY, BAKERSFIELD (SUB) DEPARTMENT OF ELETRIAL & OMPUTER ENGINEERING & OMPUTER SIENE EE 3320: FIELDS AND WAES Laboratory 3 First, get familiar with the oscilloscope It is a powerful

More information

Matrix notation. A nm : n m : size of the matrix. m : no of columns, n: no of rows. Row matrix n=1 [b 1, b 2, b 3,. b m ] Column matrix m=1

Matrix notation. A nm : n m : size of the matrix. m : no of columns, n: no of rows. Row matrix n=1 [b 1, b 2, b 3,. b m ] Column matrix m=1 Matrix notation A nm : n m : size of the matrix m : no of columns, n: no of rows Row matrix n=1 [b 1, b 2, b 3,. b m ] Column matrix m=1 n = m square matrix Symmetric matrix Upper triangular matrix: matrix

More information

Assignment 1 Physics/ECE 176

Assignment 1 Physics/ECE 176 Assignment 1 Physics/ECE 176 Made available: Thursday, January 13, 211 Due: Thursday, January 2, 211, by the beginning of class. Overview Before beginning this assignment, please read carefully the part

More information

EXCELLING WITH BIOLOGICAL MODELS FROM THE CLASSROOM T0 RESEARCH

EXCELLING WITH BIOLOGICAL MODELS FROM THE CLASSROOM T0 RESEARCH EXCELLING WITH BIOLOGICAL MODELS FROM THE CLASSROOM T0 RESEARCH Timothy D. Comar Benedictine University Department of Mathematics 5700 College Road Lisle, IL 60532 tcomar@ben.edu Introduction Computer

More information

Working with ArcGIS: Classification

Working with ArcGIS: Classification Working with ArcGIS: Classification 2 Abbreviations D-click R-click TOC Double Click Right Click Table of Content Introduction The benefit from the use of geographic information system (GIS) software is

More information

LAB 2 - ONE DIMENSIONAL MOTION

LAB 2 - ONE DIMENSIONAL MOTION Name Date Partners L02-1 LAB 2 - ONE DIMENSIONAL MOTION OBJECTIVES Slow and steady wins the race. Aesop s fable: The Hare and the Tortoise To learn how to use a motion detector and gain more familiarity

More information

Lecture 5b: Starting Matlab

Lecture 5b: Starting Matlab Lecture 5b: Starting Matlab James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University August 7, 2013 Outline 1 Resources 2 Starting Matlab 3 Homework

More information

NMR Assignments using NMRView II: Sequential Assignments

NMR Assignments using NMRView II: Sequential Assignments NMR Assignments using NMRView II: Sequential Assignments DO THE FOLLOWING, IF YOU HAVE NOT ALREADY DONE SO: For Mac OS X, you should have a subdirectory nmrview. At UGA this is /Users/bcmb8190/nmrview.

More information

PDF-4+ Tools and Searches

PDF-4+ Tools and Searches PDF-4+ Tools and Searches PDF-4+ 2018 The PDF-4+ 2018 database is powered by our integrated search display software. PDF-4+ 2018 boasts 72 search selections coupled with 125 display fields resulting in

More information

Intermediate Algebra Summary - Part I

Intermediate Algebra Summary - Part I Intermediate Algebra Summary - Part I This is an overview of the key ideas we have discussed during the first part of this course. You may find this summary useful as a study aid, but remember that the

More information

BOND LENGTH WITH HYPERCHEM LITE

BOND LENGTH WITH HYPERCHEM LITE BOND LENGTH WITH HYPERCHEM LITE LAB MOD2.COMP From Gannon University SIM INTRODUCTION The electron cloud surrounding the nucleus of the atom determines the size of the atom. Since this distance is somewhat

More information

FIT100 Spring 01. Project 2. Astrological Toys

FIT100 Spring 01. Project 2. Astrological Toys FIT100 Spring 01 Project 2 Astrological Toys In this project you will write a series of Windows applications that look up and display astrological signs and dates. The applications that will make up the

More information

BASIC TECHNOLOGY Pre K starts and shuts down computer, monitor, and printer E E D D P P P P P P P P P P

BASIC TECHNOLOGY Pre K starts and shuts down computer, monitor, and printer E E D D P P P P P P P P P P BASIC TECHNOLOGY Pre K 1 2 3 4 5 6 7 8 9 10 11 12 starts and shuts down computer, monitor, and printer P P P P P P practices responsible use and care of technology devices P P P P P P opens and quits an

More information

Titrator 3.0 Tutorial: Calcite precipitation

Titrator 3.0 Tutorial: Calcite precipitation Titrator 3.0 Tutorial: Calcite precipitation November 2008 Steve Cabaniss A. Introduction This brief tutorial is intended to acquaint you with some of the features of the program Titrator. It assumes that

More information

Using the EartH2Observe data portal to analyse drought indicators. Lesson 4: Using Python Notebook to access and process data

Using the EartH2Observe data portal to analyse drought indicators. Lesson 4: Using Python Notebook to access and process data Using the EartH2Observe data portal to analyse drought indicators Lesson 4: Using Python Notebook to access and process data Preface In this fourth lesson you will again work with the Water Cycle Integrator

More information

How to Make Photometric & Colorimetric Measurements of Light Sources using an Ocean Optics Spectrometer and SpectraSuite Software

How to Make Photometric & Colorimetric Measurements of Light Sources using an Ocean Optics Spectrometer and SpectraSuite Software How to Make Photometric & Colorimetric Measurements of Light Sources using an Ocean Optics Spectrometer and SpectraSuite Software This is a concise guide to setting up and calibrating your Ocean Optics

More information

Introduction to Spark

Introduction to Spark 1 As you become familiar or continue to explore the Cresset technology and software applications, we encourage you to look through the user manual. This is accessible from the Help menu. However, don t

More information

Finite Mathematics Chapter 2. where a, b, c, d, h, and k are real numbers and neither a and b nor c and d are both zero.

Finite Mathematics Chapter 2. where a, b, c, d, h, and k are real numbers and neither a and b nor c and d are both zero. Finite Mathematics Chapter 2 Section 2.1 Systems of Linear Equations: An Introduction Systems of Equations Recall that a system of two linear equations in two variables may be written in the general form

More information

Exercises for Windows

Exercises for Windows Exercises for Windows CAChe User Interface for Windows Select tool Application window Document window (workspace) Style bar Tool palette Select entire molecule Select Similar Group Select Atom tool Rotate

More information

Chapter 2. Ma 322 Fall Ma 322. Sept 23-27

Chapter 2. Ma 322 Fall Ma 322. Sept 23-27 Chapter 2 Ma 322 Fall 2013 Ma 322 Sept 23-27 Summary ˆ Matrices and their Operations. ˆ Special matrices: Zero, Square, Identity. ˆ Elementary Matrices, Permutation Matrices. ˆ Voodoo Principle. What is

More information

Mathematica Project 3

Mathematica Project 3 Mathematica Project 3 Name: Section: Date: On your class s Sakai site, your instructor has placed 5 Mathematica notebooks. Please use the following table to determine which file you should select based

More information

Project 2: Using linear systems for numerical solution of boundary value problems

Project 2: Using linear systems for numerical solution of boundary value problems LINEAR ALGEBRA, MATH 124 Instructor: Dr. T.I. Lakoba Project 2: Using linear systems for numerical solution of boundary value problems Goal Introduce one of the most important applications of Linear Algebra

More information

AP Physics 1 Summer Assignment Packet

AP Physics 1 Summer Assignment Packet AP Physics 1 Summer Assignment Packet 2017-18 Welcome to AP Physics 1 at David Posnack Jewish Day School. The concepts of physics are the most fundamental found in the sciences. By the end of the year,

More information

Math 309 Notes and Homework for Days 4-6

Math 309 Notes and Homework for Days 4-6 Math 309 Notes and Homework for Days 4-6 Day 4 Read Section 1.2 and the notes below. The following is the main definition of the course. Definition. A vector space is a set V (whose elements are called

More information

Appendix 2: Linear Algebra

Appendix 2: Linear Algebra Appendix 2: Linear Algebra This appendix provides a brief overview of operations using linear algebra, and how they are implemented in Mathcad. This overview should provide readers with the ability to

More information

POC via CHEMnetBASE for Identifying Unknowns

POC via CHEMnetBASE for Identifying Unknowns Table of Contents A red arrow is used to identify where buttons and functions are located in CHEMnetBASE. Figure Description Page Entering the Properties of Organic Compounds (POC) Database 1 CHEMnetBASE

More information

Tutorial 11. Use of User-Defined Scalars and User-Defined Memories for Modeling Ohmic Heating

Tutorial 11. Use of User-Defined Scalars and User-Defined Memories for Modeling Ohmic Heating Tutorial 11. Use of User-Defined Scalars and User-Defined Memories for Modeling Ohmic Heating Introduction The purpose of this tutorial is to illustrate the use of user-defined scalars (UDS) and user defined

More information

Incline Plane Activity

Incline Plane Activity Purpose Incline Plane Activity During the activity, students will become familiar with solving static and dynamic incline plane problems. The students will use standard component methods and free body

More information

Chapter 1 Linear Equations. 1.1 Systems of Linear Equations

Chapter 1 Linear Equations. 1.1 Systems of Linear Equations Chapter Linear Equations. Systems of Linear Equations A linear equation in the n variables x, x 2,..., x n is one that can be expressed in the form a x + a 2 x 2 + + a n x n = b where a, a 2,..., a n and

More information

M61 1 M61.1 PC COMPUTER ASSISTED DETERMINATION OF ANGULAR ACCELERATION USING TORQUE AND MOMENT OF INERTIA

M61 1 M61.1 PC COMPUTER ASSISTED DETERMINATION OF ANGULAR ACCELERATION USING TORQUE AND MOMENT OF INERTIA M61 1 M61.1 PC COMPUTER ASSISTED DETERMINATION OF ANGULAR ACCELERATION USING TORQUE AND MOMENT OF INERTIA PRELAB: Before coming to the lab, you must write the Object and Theory sections of your lab report

More information

Lab 2 Worksheet. Problems. Problem 1: Geometry and Linear Equations

Lab 2 Worksheet. Problems. Problem 1: Geometry and Linear Equations Lab 2 Worksheet Problems Problem : Geometry and Linear Equations Linear algebra is, first and foremost, the study of systems of linear equations. You are going to encounter linear systems frequently in

More information