lab manual manuals/isc 210 lab... · 2020. 8. 17. · isc 210 computational methods p a g e | 7...

Kuwait University College of Life Sciences

Department of Information Science

Lab Manual

ISC 210 Computational Methods

Prepared by

Dr. Jehad Al-Dallal

Latifa Al-Dhaferi

Revised Spring 2015-2016

ISC 210 Computational Methods P a g e | 2

Table of Contents Laboratory Hardware and Software/Tools Requirements............................................................................ 5 Laboratory Schedule ..................................................................................................................................... 6 Laboratory Policy .......................................................................................................................................... 7 Laboratory Grading Policy ............................................................................................................................. 8 Introduction ................................................................................................................................................... 9 Familiarity with Lab Hardware and Software tools ........................................................................................ 9 Laboratory Tools Setup ................................................................................................................................. 9 Laboratory #1 –Introduction to MATLAB..................................................................................................... 24 Laboratory #2 –Introduction to Script Files and Matrices ........................................................................... 29 Laboratory #3 –Functions in MATLAB ........................................................................................................ 34 Laboratory #4 –If statement and For loop ................................................................................................... 38 Laboratory #5 –Solving Linear Systems in MATLAB .................................................................................. 44 Laboratory #6 –Polynomials ....................................................................................................................... 50 Laboratory #7 – Eigenvalues and Eigenvectors ......................................................................................... 55 Laboratory #8 –Interpolation ....................................................................................................................... 58 Laboratory #9 –Least Squares Regression ................................................................................................ 61 Laboratory #10 –Root Finding Methods ...................................................................................................... 67 Appendix A: Rules to fallow by Computer Lab Users ................................................................................. 71 Appendix B: Endorsement .......................................................................................................................... 70


Laboratory Hardware and Software/Tools Requirements

In this lab the students will be using MATLAB application software run on a PC with Windows operating system.

Laboratory Schedule

# Lab Title Lab activity 1 Introduction to MATLAB 2 Introduction to MATLAB Quiz#1 3 Introduction to Script Files and Matrices 4 Introduction to Script Files and Matrices Quiz#2 5 Functions in MATLAB 6 Functions in MATLAB 7 If statement and For loop 8 Solving Linear Systems in MATLAB Quiz#3 9 Polynomials 10 Eigenvalues and Eigenvectors Quiz#4 11 Interpolation 12 Least Squares Regression 13 Least Squares Regression Quiz#5 14 Root Finding Methods 15 Root Finding Methods Quiz#6


Laboratory Policy

• Fallow the laboratory rules listed in appendix “A”

• Cheating in whatever form will result in F grade.

• Attendance will be checked at the beginning of each Lab.

• Number of absence hours will be combined with the absence hours of the course and they are subject for applying the university absence regulations.

• Cheating in Lab Work or Lab Project will result F grade in Lab.

• There will be no make-up for any Quiz/Exam/Lab.

• Hard work and dedication are necessary ingredients for success in this course.


Laboratory Grading Policy

Activity Weight

Lab Quizzes 10%


Introduction This lab is an integral part of the course ISC 210 Computational Methods. The main objectives of the lab are to experience using MATLAB to apply the numerical methods taught in the class.

Familiarity with Lab Hardware and Software tools In this lab the students will be using MATLAB.

Laboratory Tools Setup

MATLAB R2007a is the software that will be used. In the following steps we will describes how to install and activate MathWorks™ products on a computer running the Microsoft® Windows® operating system (32- bit or 64-bit).

Step 1: Start the Installer

Insert the DVD into the DVD drive connected to your system or double-click the installer file you downloaded from the MathWorks Web site. The installer should start automatically.

If you do not have an Internet connection, select the Install without using the Internet option and click Next.


Step 2: Review the License Agreement

Review the software license agreement and, if you agree with the terms, select Yes and click Next.

After the installation is complete, you can view or print the license agreement using the file license.txt located in the top-level installation folder.


Step 3: Specify the File Installation Key

If you do not have an Internet connection, and choose to install manually, the installer displays the File Installation Key dialog box. A File Installation Key identifies the products you can install.

If you have the key, select the I have the File Installation Key for my license option, enter the File Installation Key, and click Next. The administrator contact on a license can retrieve the File Installation Key from the License Center at the MathWorks Web site.

If you do not have the key, select the I do not have the File Installation Key option and click Next. The installer will provide you with the information you need to get a key.


If You Do Not Have the File Installation Key

If you choose the I do not have the File Installation Key option, the installer displays the Installation and Activation Next Steps dialog box. This dialog box contains the information you need to retrieve your File Installation Key from the License Center at the MathWorks Web site, including:

Host ID

Release number (e.g., R2010a)

Operating system user name (Note that user names are case-sensitive in activation.)

Save the information displayed in this dialog box. For example, you can print a copy by clicking Print. Take the information to a computer with an Internet connection and visit the License Center at the MathWorks Web site. The MathWorks uses this information to generate a File Installation Key and a License File. You must have this information with you when you return to the computer on which you want to install and activate the software. To exit the activation process, click Finish.


Step 4: Choose the Installation Type

In the Installation Type dialog box, specify whether you want to perform a Typical or Custom installation and click Next.

Choose Typical if you have an Individual or Group license and do not need to specify which products you want to install and do not need to access any installation options.

Choose Custom if you need to specify which products to install, need access to installation options, or need to install the license manager (network license options only).


Step 5: Specify the Installation Folder

Specify the name of the folder where you want to install MathWorks products. You can accept the default installation folder or specify the name of a different installation folder. If the folder doesn't exist, the installer creates it.

When specifying a folder name, do not specify a name that contains the @ sign, an exclamation point (!), the percent character (%), the plus sign (+), or the dollar sign character ($). The full path of the installation folder must not include a folder named private. If you make a mistake while entering a folder name and want to start over using the default folder name, click Restore Default Folder. To continue with the installation, click Next.


Step 6: Specify Products to Install (Custom Only)

If you are performing a custom installation, you can specify which products you want to install in the Product Selection dialog box. This dialog box lists all the products associated with the license you selected or with the Activation Key you specified. In the dialog box, all the products are preselected for installation. If you do not want to install a particular product, clear the check box next to its name.

After selecting the products you want to install, click Next to continue with the installation.


Step 7: Specify Installation Options (Custom Only)

For Custom installations, you can specify several installation options, including:

Setting the permissions of all installed files to read only.

Determining whether the installer puts shortcuts for MATLAB software in the Start menu and on the desktop.

Specifying which files the operating system associates with MATLAB, based on their file extension. For example, if you associate files with the .m file extension with MATLAB, the operating system identifies the type of these files as MATLAB M-file. The installer preselects the extensions associated with products you are installing.

After selecting installation options, click Next to proceed with the installation.


The following table provides brief descriptions of these file extensions.

File Extension Description

.ctfx MATLAB Compiled Application

.fig MATLAB Figure

.m MATLAB Code

.mat MATLAB Data

.mdl Simulink Model

.mdlp Simulink Protected Model

.mex* MATLAB MEX. This extension is platform specific: .mexw32 or .mexw64

.mn MuPAD Notebook

.mu MuPAD Code

.muphlp MuPAD Help

.p MATLAB P-code

.ssc Simscape Model

.xvc MuPAD Graphics

.xvz MuPAD Graphics


Step 8: Confirm Your Choices and Begin Copying Files

Before it begins copying files to your hard disk, the installer displays a summary of your installation choices. To change a setting, click Back. To proceed with the installation, click Install.

As it copies files to your hard drive, the installer displays a status dialog box to show the progress of the installation.

Step 9: Complete the Installation

When the installation successfully completes, the installer displays the Installation Complete dialog box. In this dialog box, you can choose to activate the software you just installed. You cannot use the software you installed until you activate it. The MathWorks recommends activating immediately after installation. If you logged in to your MathWorks Account during installation, your log-in session continues into the activation process. Click Next to proceed with activation.

If you choose to exit the installer without performing activation, clear the Activate MATLAB option and click Finish (the button label changes). You can activate later using the activation application.


Step 10: Activate Your Installation

Because you were not logged in to your MathWorks Account during installation, or you started the activation application independently, you must choose whether to activate automatically or manually. Select the Activate manually without the Internet option and click Next.


Step 11: Specify the Path to the License File

To activate without an Internet connection, you must have a License File. The License File identifies which products you can run. The administrator contact on the license can retrieve the License File from the License Center at the MathWorks Web site.

Select the Enter the path to the License File option and enter the full path of your License File in the text box (or drag and drop the file) and click Next. If you do not have your License File, select the I do not have a license file option.


Note Your installation will not be activated. You cannot run MATLAB until you retrieve your License File.

If You Do Not Have a License File

If you are activating manually and do not have your License File, the License File Retrieval dialog box explains how to get your License File and finish activation. The dialog box displays the information you will need to get your License File, including:

Host ID

Release number (e.g., R2010a)

Operating system user name (Note that user names are case-sensitive in activation.)

Save the information displayed in this dialog box. For example, you can print a copy by clicking Print. Take the information to a computer with an Internet connection and visit the License Center at the MathWorks Web site. The MathWorks uses this information to generate a File Installation Key and a License File. You must have this information with you when you return to the computer on which you want to install and activate the software. To exit the activation application, click Finish.


Step 12: Complete the Activation

After activating your installation, you can run The MathWorks software. If you do not want to run MATLAB now, clear the Start MATLAB option and click Finish to exit the activation process.


Reference: The Math Works - http://www.mathworks.com

http://www.mathworks.com/


Laboratory #1 – Introduction to MATLAB

1. Laboratory Objective

The objective of this introductory laboratory is to introduce some of the basic commands in MATLAB.

2. Laboratory Learning Outcomes: After conducting this laboratory students will be

able to:

a. Know how to enter/exit the MATLAB environment. b. Write Formulas and Expressions in MATLAB. c. Create, modify, access elements and do basic operations on vectors and

matrices in MATLAB. d. Write and evaluate formulas and equations using MATLAB. e. Manipulate vectors using MATLAB.

3. Laboratory Introductory Concepts

MATLAB is high-performance language for □ technical computing □ integrates computation, □ visualization, □ programming

in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation

The name of MATLAB stands for Matrix Laboratory,

□ All operations are assumed to be done on matrices unless you

specifically state otherwise. MATLAB is an interactive system. □ Allows you to solve many technical computing problems, especially

those with matrix and vector formulations.

Getting Started On your Windows desktop, double-click the MATLAB shortcut icon to start MATLAB program.

□ To end your MATLAB session, select Exit MATLAB from the File menu or type quit or exit in the Command Window.


Command Window Used to enter the statements (Commands) and get the output

□ The prompt (>>) indicates MATLAB is ready to accept commands from you

MATLAB As a Calculator The basic arithmetic operators are + - * / ^

Variables

□ An ―equals‖ sign is used to make an assignment □ MATLAB does not require any type declarations or dimension statements. □ Variable names consist of a letter, followed by any number of letters, digits, or

underscores. □ MATLAB is a case sensitive. □ The default variable is ―ans‖

Semicolon

□ in MATLAB the semicolon serves to suppress the output of the line that it concludes.

□ If a statement is not terminated with a semicolon, then the result of the statement is displayed.


Some useful command

□ who – lists the variables in the current workspace. □ clear all– removes variables from the workspace. □ clc – clears all input and output from the Command Window display, giving you

a "clean screen."

Vector

□ Refers to a one dimensional (1×N or N×1) matrix Method 1: defined by placing a sequence of numbers within square braces >> x = [1 2 3 4] >> y = [1,3,5,6,7] >> z = [3 -21 5 6]'

Method 2: using a set of numbers with a common increment using colons : Syntax: start:increment(step):end >> w = [2:0.25:4] >> t = [9:-2:1]

Method 3: using the linspace function generates row vectors with equally spaced

elements Syntax: linspace(firstValue,lastValue,numValues) >> evens = linspace(0,10,6) >> v = linspace(1,2,5)

Accessing elements within a vector

□ You can view individual entries in a vector >> v(2) □ You can also look at specific parts of vector >> v(1:3)

Vector Operation

□ All the operators in MATLAB defined on vectors : +, -, *, /, ^, etc. >> t – v >> evens^2 >> evens.^2 >> t*v >> t.*v

□ To sum all the elements in a vector >> sum(v) □ To find number of elements in a vector


>> n = length(v) □ Creates a matrix with specified values on a diagonal >> diag(x)

Examples:

x=[2 6 7] - create a row vector x=[x 8] - add another element to x x=[2 ; 6 ; 7 ] - create a column vector x=1:6 - create a vector with elements 1, 2, 3 ...6 x=1:0.5:6 - create a vector with elements 1, 1.5, 2, 2.5 ... 6 x=linspace(1,6,11) - create a row vector with 11 equally spaced elements

running from 1 to 6 x=ones(4,5) - create a matrix full of 1s with 4 rows and 5 columns x=1:3; y=4:6; z=[x y] - join 2 vectors

4. Laboratory Problem Description

In this laboratory, you are required to write a MATLAB command to describe variables:

>> x = 2 >> y = x+3 >> 1+5 >> z = ans + 4

>> a = 2 >> b = 4; >> b Write a MATLAB command for the following operations:

3 + 5 − 6 2 * 2

43 + 4 * 8 2

Write the MATLAB command(s) to

1. Find the sum of all even number between 2 and 100 2. Create a column vector with 11 equally spaced points in the interval [0,1] 3. Create vector B= [-3 -6 -9 ... -24]


5. Laboratory Exercises

Ex1: Write a MATLAB command for the following operations:

25 + 67

212

4−3 + 0.123* pi 5

Ex2: Let x = [3 2 6 8]' and y = [4 1 3 5]' (Note: x and y should be column vectors).

1. Raise each element of x to the power specified by the corresponding element in y.

2. Divide each element of y by the corresponding element in x

Ex3: Write the use of the following MATLAB commands:

who : ………………………………………………………………………..

clc : ………………………………………………………………………..


Laboratory #2 –Introduction to Script Files and Matrices


The objective of this laboratory is to show the use of scripts files and matrices in MATLAB.


able to:

a. Use format command to format output b. Compute mathimatical functions c. Know how to Open, create, save, and run Scripts Files. d. Construct a matrix e. Modify, access elements and do basic operations on matrices.


Format

□ To set display format for output

Example:

>>format short

Scaled fixed point format, with 4 digits after the decimal point. For example, 3.1416.

>>format long

Scaled fixed point format with 14 to 15 digits after the decimal point. For example, 3.141592653589793.

>>format rat

Ratio of small integers. For example, 355/113


Mathematical MATLAB Functions

cos(x) Cosine of x sin(x) Sine of x tan(x) Tangent of x sqrt(x) Square root of x abs(x) Absolute value of x exp(x) Exponential of x log(x) Log to the base e of x

Example:

>>cos(pi) ans =

-1

>> sin(pi/2)+cos((3*pi)/2) ans =

1.0000

>>sqrt(25) ans =

5

Scripts

□ Text files containing a sequence of normal MATLAB commands/statements. □ run much as if you were typing the program statements in the command

window. □ The values of all variables are retained in memory and are accessible even

after the program has run. □ Save the file under a name that ends in m □ To create or modify program files use the MATLAB editor. □ To start the MATLAB editor window from the main MATLAB window select

New and then M-file from the File pull down menu in the desktop window □ To edit an existing file select open and select the appropriate file or enter edit

followed by the file name. □ You can run a script by typing the name of its file (without the .m suffix) in the

MATLAB command window. □ For example, if your program is stored in the file myprogram.m then you run it

by entering >> myprogram


Example

%This is my first script A=[4 1 2 3 0] B=linspace(1,2,5) C=A.*B C A. D=B.^A

Matrices

A matrix generally refers to a 2-dimensional array, i.e. an m×n array where m and n are greater than 1

□ MATLAB allow you to build matrices of your own with any entries that you may

want □ You only have to follow a few basic conventions: □ Separate the elements of a row with blanks or commas. □ Use a semicolon ‗ ; ‗ to indicate the end of each row. □ Surround the entire list of elements with square brackets, [ ].

□ Try the following

>> A = [1 2 3; 4 4 3; 2 2 4] >> B = [ 1 2 3 4 4 3 2 2 4] >> C [ 1, 2, 3; 4 4 3 2 2 4]

Special Matrices

□ Create nxn matrix of random elements >> a = rand(n)

□ Create mxn matrix of random elements >> b = rand(m,n)

□ Create an mxn matrix with each element is 1 >> c = ones(m,n)

□ Create an mxn matrix with each element is 0 >> d = zeros(m,n)

□ Create nxn identity matrix >> f = eye(n)

Accessing elements within a matrix

□ You can view individual entries in a matrix >> A(1,2)


144

□ You can also look at specific parts of a matrix >> A(1:3,:) >> A(:,1) % whole column >> A(1,:) % whole row

Matrix Operations

□ All the operators in MATLAB defined on matrices : +, -, *, /, ^, sqrt, etc.

>>A+B >>A*B

□ Transpose of matrix is defined as follow >> A‘

□ To find size of elements in a matrix >> [m,n] = size(A)

Matrix Functions

sum(data) - sums each column. mean(data) - finds the mean of each column max(data) - finds the maximum number in each column


In this laboratory you are required to write a MATLAB command for: π

sin( ) 2

, cos(90) , , −101

In addition, you have to solve the following problem:

Let A= [2 9 0 0 ; 0 4 1 4 ; 7 5 5 1 ; 7 8 7 4] and b= [ -1 ; 6 ; 0 ; 9] and a= [ 3 -2 4 -5] Find the following:

a. Multibly A by b b. Add 4 to vector a c. Multibly a by b d. Multiply A by the inverse a e. Find the square of A f. Raise A to the power of 2 g. Find rows 2 and 3 in matrix A.


2

7

2 4 1

Given the matrix A = 6 7 Provide the command needed to 3 5 9

a. Assign the first row of A to a vector called x b. Assign the last 2 columns of A to a matrix called y c. Add 6 to each element of A d. Find the sum of all elements in x e. Find the square of all elements in y f. Save all commands in a script file mat.m and run the script from

command window.


Ex1: Write a MATLAB command for the following operations and format the output to be short:

π 67 sin( ) +

3 2 * 5

sqrt(9) + 4−3 + 0.123* cos(π )

1 0 2 − 2 0 16

Ex2: Let A = 3 9 and B = 8 − 6 Find the following: − 2 4

1. A transpose 2. A + B

−1 20 − 4 4

3. Multibly A by 0.5 4. Devide B by 2 5. Find the square of A 6. Raise B to the power of -1

EX3: Use rand function to create a 9x8 matrix. Then answer the following:

a. Make a matrix that is the transpose of the original matrix b. Assign the row 8 of the original matrix to a vector called b c. Assign the columns 1 and 2 of the original matrix to a matrix called c d. Write all commands in a sript file name it EX3.m and run it from command

window.

1


Laboratory #3 – Functions in MATLAB


The objective of this introductory laboratory is an introduction to graphics (ploting) and functions in MATLAB.


able to:

a. Demonstrate 2D graphs using MATLAB b. Use MATLAB editor to Open, create, save, and run functions


Graphics: Plot

□ Two-dimensional line plot is created with the plot command. □ Syntax: plot(xdata,ydata) □ where xdata and ydata are vectors containing the data. □ Note that xdata and ydata must be the same length and both must be the same type i e both type, i.e., must be either row or column vectors.

□ The MATLAB commands to create a simple plot of y = sin(3*pi*x) from 0 to 2*pi.

>> x = 0:pi/30:2*pi; % x vector, 0 y = sin(3*x); % vector of y values >> plot(x,y) % create the plot

□ Multiple x-y pairs create multiple graphs with a single call to plot.

>> x = 0:pi/30:2*pi; >> y = sin(3*x); >> y2= sin(3*x-0.2); >> y3= sin(2*x); >> plot(x,y,x,y2,x,y3)

□ To graph the piecewise function,

x 2 f (x) =

x

0 ≤ x ≤ 3 − 3 ≤ x < 0

□ you must define two intervals x1 and x2. □ Each function must be defined in terms of its interval


Function Functions are m-files that takes certain inputs and return certain outputs p. The first line of a function must be of the form

function [outputs]=functionname(inputs)

where:

□ outputs stands for any outputs that the function should return. □ Inputs stands for any variable or values that need to be used as inputs

for the m-file. □ Inputs and outputs are comma-separated lists of variable names □ The name of the M-file and of the function should be the same □ The name of an M-file begins with an alphabetic character and has a

filename extension of .m.

Example 1 function y=f1(x)

y=2*x.^3-3*x+1;

Example 2 function [s,p] = addmult(x,y) %This is addmult.m Compute sum and

%product of two matrices s=x+y; p=x*y;

How to call a function?

□ Function calls written in function syntax □ enclose the input argument list in parentheses parentheses, □ separate the inputs with commas, □ enclose string arguments with single quotation marks, □ and optionally assign any output from the function to one or more output

arguments. □ Unlike command syntax, there are no limitations on when you can use function

syntax in a function call.

Example 1

Try the following: >>f1(2) >>y=f1(3) >> x=1 >>y=f1(x)


− b + b2 − 4ac

− b − b2 − 4ac

0

Example 2 How to call the addmult if the inputs : 1. 2, 4 2. [1 2; 3 4] , [2 2; 1 1] 3. [1 2 3]; [1 0 1]


In this laboratory you are required to plot the following function for -2 ≤ x ≤ 2 using 100 equally spaced points.

x 2 0 ≤ x < 1

f = ex−1 x ≥ 1 otherwise

In addition, you have to solve the following problem:

Write a MATLAB function that find the absolute value of any input number x.

Write MATLAB function to solve the equation ax2 + bx + c = 0. The output should be the two roots, and the input shall be a, b, c

x1 = 2a

x2 = 2a

Test your function with the following values

a. a=2, b=3, c=1 b. a=1, b=4, c=0.5



Ex1: Write MATLAB commands to create a simple plot of y = sin(3*pi*x) from 0 to 2*pi.

Ex2: Giving that f (x) = x2 +1 plot the function in [-4,4]

Ex3: Write a MATLAB function SurfaceA to compute the surface area of sphere with

radius r where :

Surface Area = 4 π r2

Sample output for radius r = 3

>>SurfaceA(3)

ans =

113.0973

Ex4: Write a MATLAB function probA which take the value of x and y as inputs and calculate the a and b according to the following formula

a = b = cos(x) − sin( y)

Test your function for x=2 and y=3

2 x 2 + y


Laboratory #4 – If Statement and For loop


The objective of this laboratory is to introduce input command, IF Statement and For loop in MATLAB.

2. Laboratory Learning Outcomes: By completing this laboratory students will be able

to:

a. Request user input b. Describe relational and logical operations c. Apply and know how to use if statement in MATLAB d. Apply and know how to use for loop statement in MATLAB

.


input - Request user input

Syntax

evalResponse = input(prompt) strResponse = input(prompt, 's')

evalResponse = input(prompt)

Displays the prompt string on the screen, waits for input from the keyboard, evaluates any expressions in the input, and returns the value in evalResponse. To evaluate expressions, the input function accesses variables in the current workspace.

strResponse = input(prompt, 's')

Returns the entered text as a MATLAB string, without evaluating expressions.

Example Write a MATLAB command to read a vector X

>>X = input('Enter Vector X:') Enter Vector X:[1 2 3]

X =

1 2 3


Relational Operators

Logical Operator


If Statement

Syntax:

if statement, condition.

□ The general form of the IF statement is

if expression statements

elseif expression tatements

else statements

End

Example1

x = input(' Type x : ') if (x


For Loops

FOR Repeat statements a specific number of times.

Syntax: for variable = 1:n, statement, ..., end

Example 1

function S=mySum(a) N=length(a) S=0 for i=1:N,

S=S+a(i) end

Example 2: Create a Hilbert matrix using nested for loops:

k = 10; hilbert = zeros(k,k); % Preallocate matrix

for m = 1:k

for n = 1:k hilbert(m,n) = 1/(m+n -1);

end end



In this laboratory you are required to trace the following scripts and write the output:

% If Statement bal = input('type balance: ') if (bal < 5000)

rate = 0.03 elseif (bal < 10000)

rate = 0.0325 else

end

rate = 0.035

% computes the sum of the series % % 1 - 1/2 + 1/3 - 1/4 + ... % N = input('type the number of terms to be added up: ') % asks the user to provide a value for N sign = 1; % initialise the sign for the term 11 sum_series = 0; % initialise the sum of the series for n = 1:N

sum_series = sum_series + sign/n; sign = -sign; % changes sign for alternating

series end sum_series % prints out the sum of the series to N terms

In addition, Write a MATLAB Function to build the 3 by 4 matrix B with entries

bi, j = �2

i + j −1



Ex1: Write a MATLAB function to input an integer n and build the n by n matrix A with entries aij = 2ij

Ex2: Write a MATLAB function Grad that takes student MT1 ,MT2 out of 25 and Final out of 50 as input and calculate Total out of 100 and return the Grade as output according to the following scale:

> = 90 A

> = 80 B

> = 70 C

> = 60 D

Else F

Sample output for radius MT1 = 22 , MT2 = 23 Final = 45

>>grad(22,23,45)

Total =

90

Grade =

A

Ex3: Write a MATLAB function fact that read N as input from user and compute N!

(Hint : N! = 1X2X….XN)


Laboratory #5 – Solving Linear Systems in MATLAB


The objective of this introductory laboratory is to introduce how to solve linear systems in MATLAB.


able to:

a. Know how to use syms command b. Compute the solution of a system of linear equation using

o Left division o Gauss-Seidel method

c. Compute Vector and matrix norms d. Compute the LU factorization (L, U, P) of a matrix


sym Symbolic numbers, variables, and objects

Syntax S = sym(A) x = sym('x') x = sym('x', 'real')

Description

S = sym(A) constructs an object S, of class 'sym', from A. If the input argument is a string, the result is a symbolic number or variable. If the input argument is a numeric scalar or matrix, the result is a symbolic representation of the given numeric values. x = sym('x') creates the symbolic variable with name 'x' and stores the result in x. x = sym('x', 'real') also assumes that x is real

Solving Linear Systems

Suppose we want to solve the linear system

x – 2y + z = 0 2y – 8z = 8

-4x + 5y + 9z = -9


We can solve this system in several ways in MATLAB; you will learn two of them in this part and another in the next part.

First we need to save the coefficients of the system in a matrix, and the right-hand

side vector in another matrix. Enter

A = [1 -2 1 0 2 -8

-4 5 9] b = [0; 8; -9]

and then enter

X = A\b % left division

The three numbers you see are the solution values of x, y, and z.

Example:

>> A=[4 -1 1;2 5 2;1 2 4] >> b=[8 3 11]' >> x=A\b

You can easily check whether the solution is correct. The matrix product A times X

should equal the right hand side b. Does it? Check it out. If you have MATLAB's Symbolic Math Toolkit, you can also use the "solve" command

to solve the above system. Enter

syms x y z eq1 = 'x - 2*y + z = 0'; eq2 = '2*y - 8*z = 8'; eq3 = '-4*x + 5*y + 9*z = -9'; [x,y,z] = solve(eq1, eq2, eq3)

When you have a system with fewer equations than unknowns, you can find the

symbolic solution for some of the variables in terms of others, which we could call "free" variables. Consider the following system of three equations in four unknowns.

x – 2y + z + 2w = 0

2y – 8z + w = 8 -4x + 5y + 9z - w = -9


We can solve for x, y, and z in terms of w. The last entry in the "solve" command tells which variables are to be solved for, and hence which variable will be free. Enter

syms x y z w eq1 = 'x - 2*y + z + 2* w = 0'; eq2 = '2*y - 8*z + w = 8'; eq3 = '-4*x + 5*y + 9*z - w = -9'; [x,y,z] = solve(eq1, eq2, eq3, 'x,y,z')

The seidel.m function

Syntax

seidel(A,b,x0,tol,itmax)

To finds the solution of a linear system using Gauss-Seidel method INPUTS: A: nxn matrix b: nx1 coefficient vector x0: an initial vector, must be column tol: a tolerance itmax: maximum number of iterations

Example

Use MATLAB function seidel.m to findthe solution of the following linear system with initial guess 0, 1, 0. 4x1 + x2 + 2 x3 = 1 2x1 +5 x2 + x3 = 14 3x +2x +6 x =9

NORM – Vector Norm

norm - Vector and matrix norms

Syntax >>n=norm(A) >>n = norm(A,p)

Description

The norm of a matrix is a scalar that gives some measure of the magnitude of the elements of the matrix. The norm function calculates several different types of matrix norms: n = norm(A) returns the largest singular value of A, max(svd(A)). n = norm(A,p) returns a different kind of norm, depending on the value of p.


Example1:

x = [0 1 2 3] x =

0 1 2 3

sqrt(0+1+4+9) % Euclidean length ans =

3.7417

norm(x) ans =

3.7417

n = length(x) % Number of elements n =

4

rms = 3.7417/2 % rms = norm(x)/sqrt(n) rms =

1.8708

Example2:

Let x0 = [0.95 1.02 0.89] and x1 = [1.00 0.99 0.95] Find the error for this iteration

LU Factorization

lu - LU matrix factorization

Syntax

>>Y = lu(A) >>[L,U] = lu(A) >>[L,U,P] = lu(A)

Description

returns unit lower triangular matrix L, uppertriangular matrix U, and permutation matrix P so that P*A = L*U INPUTS: A: nxn matrix


Example1: Let A = [ 1 2 3

4 5 6 7 8 0 ];

To see the LU factorization, call lu with two output arguments. >>[L1,U] = lu(A)

L1 =

Using three arguments on the left side to get the permutation matrix as well,

>>[L2,U,P] = lu(A)

returns a truly lower triangular L2, the same value of U, and the permutation matrix P. L2 =

1.0000 0 0 0.1429 1.0000 0 0.5714 0.5000 1.0000

U =

7.0000 8.0000 0 0 0.8571 3.0000 0 0 4.5000

P =

0 0 1 1 0 0 0 1 0

Note that L2 = P*L1.

0.1429 1.0000 0 0.5714 0.5000 1.0000 1.0000 0 0

U =

7.0000 8.0000 0 0 0.8571 3.0000 0 0 4.5000



In this laboratory you are required to Find the solution of the following systems of linear equation:

1) x1 + x2 + x3 = 3 4x1 - x2 - x3= 2 x1 + 2x2 - x3= 2

2)

Given the following system 4x1+3x2+7x3= 3 3x1+2x2+1x3= 1 2x1+3x2+4x3= 2

Using MATLAB commands solve the following system using Gaussian

elimination with partial pivoting. Find P, L, and U. Solve the system using Gauss-Seidal method in MATLAB. Consider the

initial points x= [0 0.2 0.3] and ε to be 0.01.


EX1: Use Left Division methods to solve the following system

x + 4y + 3z = 10 2x + y – z = -1 3x – y – 4z = 11

EX2: Given the following system of linear equation

5 x1 + x2 + x3 +2x4 = 8 2 x1 +4 x2 – x4 = -3 x1 + 3x3 = 7 2 x1 – x2 +3 x3 +8x4 = 17

1. Find the L,U and P factorization 2. Find the solution of the system using

a. Left division b. Gauss-Seidel method with ε = 0.001 and initial guess = [0,0,0,0]t c. Gauss-Seidel method with ε =10-6 and initial guess=[0.5,-0.2,1,0.2]t


Laboratory #6 – Polynomials


The objective of this introductory laboratory is to introduce Polynomials in MATLAB.

2. Laboratory Learning Outcomes: After conducting this laboratory students will be able to:

a. Know how to represent polynomials in MATLAB b. Compute the roots for a given polynomial c. Evaluate polynomial d. Compute polynomial derivative


In MATLAB, a polynomial is represented by a vector. To create a polynomial in MATLAB, simply enter each coefficient of the polynomial into the vector in descending order. For instance, let's say you have the following polynomial:

To enter this into MATLAB, just enter it as a vector in the following manner

>>x = [1 3 -15 -2 9]

x = 1 3 -15 -2 9

MATLAB can interpret a vector of length n+1 as an nth order polynomial. Thus, if your polynomial is missing any coefficients, you must enter zeros in the appropriate place in the vector. For example,

would be represented in MATLAB as:

y = [1 0 0 0 1]

You can also extract the roots of a polynomial. This is useful when you have a high- order polynomial such as


Finding the roots would be as easy as entering the following command;

roots([1 3 -15 -2 9])

ans = -5.5745 2.5836

-0.7951 0.7860

Polynomial with specified roots

Syntax >>p = poly(A) >>p = poly(r)

Description

p = poly(A) where A is an n-by-n matrix returns an n+1 element row vector whose elements are the coefficients of the characteristic polynomial, . The coefficients are ordered in descending powers: if a vector c has n+1 components, the polynomial it represents is p = poly(r) where r is a vector returns a row vector whose elements are the coefficients of the polynomial whose roots are the elements of r.

Remarks

Note the relationship of this command to r = roots(p)

which returns a column vector whose elements are the roots of the polynomial specified by the coefficients row vector p. For vectors, roots and poly are inverse functions of each other, up to ordering, scaling, and roundoff error.

Example1

MATLAB displays polynomials as row vectors containing the coefficients ordered by descending powers. The characteristic equation of the matrix

A =

1 2 3 4 5 6 7 8 0

is returned in a row vector by poly: p = poly(A)

p =

1 -6 -72 -27


The roots of this polynomial are returned in a column vector by roots: r = roots(p)

r =

12.1229 -5.7345 -0.3884

Polynomial derivative

polyder - Polynomial derivative

Syntax

k = polyder(p) k = polyder(a,b) [q,d] = polyder(b,a)

Description

The polyder function calculates the derivative of polynomials, polynomial products, and polynomial quotients. The operands a, b, and p are vectors whose elements are the coefficients of a polynomial in descending powers.

k = polyder(p) returns the derivative of the polynomial p.

k = polyder(a,b) returns the derivative of the product of the polynomials a and b.

[q,d] = polyder(b,a) returns the numerator q and denominator d of the derivative of the polynomial quotient b/a.

Example1

The derivative of the product is obtained with >>a = [3 6 9]; >>b = [1 2 0]; >>k = polyder(a,b) k =

12 36 42 18

This result represents the polynomial


Polynomial Evaluation

Syntax >>y = polyval(p,x)

Description y = polyval(p,x) returns the value of a polynomial of degree n evaluated at x. The input argument p is a vector of length n+1 whose elements are the coefficients in descending powers of the polynomial to be evaluated.

x can be a matrix or a vector. In either case, polyval evaluates p at each element of x. . Examples

The polynomial is evaluated at = 5, 7, and 9 with

>>p = [3 2 1]; >>polyval(p,[5 7 9])

ans =

86 162 262


x2 − 2x


In this laboratory you are required to find the value of the following polynomials:

ϒ at s=2, y = x4 + 2 x3 – 7 x2 – 8 x + 12

Compute the derivative for the following polynomials:

f(x)=

f (x) =


EX1: Find the value of the following polynomials: f(x) = cos(x)+sin(3+x) for x=90, 270

f (x) = for x=4, 0.5

EX2: Compute the deravative for the following polynimials

f(x) = e3x+2 f (x) =

x3 − 2x +1

x − 2


Laboratory #7 – Eigenvalues and Eigenvectors


The objective of this introductory laboratory is to introduce eigenvalues in MATLAB.


a. Construct characteristics equation b. Compute eigenvalues and eigenvectors.


Eigenvalues and eigenvectors

Syntax

d = eig(A) d = eig(A,B) [V,D] = eig(A)

Description

d = eig(A) returns a vector of the eigenvalues of matrix A. d = eig(A,B) returns a vector containing the generalized eigenvalues, if A and B are square matrices.

[V,D] = eig(A) produces matrices of eigenvalues (D) and eigenvectors (V) of matrix A, so that A*V = V*D. Matrix D is the canonical form of A — a diagonal matrix with A's eigenvalues on the main diagonal. Matrix V is the modal matrix — its columns are the eigenvectors of A.

Characteristic Equation

The characteristic equation is the equation which is solved to find a matrix's eigenvalues, also called the characteristic polynomial. For a general matrix , the characteristic equation in variable is defined by

(1)


where is the identitymatrix and is the determinant of the matrix . Writing out explicitly gives

so the characteristic equation is given by

(2)

(3)

The solutions of the characteristic equation are called eigenvalues, and are extremely important in the analysis of many problems in mathematics and physics. The polynomial left-hand side of the characteristic equation is known as the characteristic polynomial.

Example

Compute characteristic polynomial for :

>> A=[10 -7 0;-3 2 6;5 -1 5]

A =

10 -7 0 -3 2 6 5 -1 5

>> p = poly(A)

p =

1.0000 -17.0000 65.0000 155.0000



In this laboratory you are required to find eigenvalue and eigenvectors for A in the following systems of linear equation Ax=B:

17x1+2x2+3x3+4x4 = 4 5x1+6x2+7x3+8x4 = 3 9x1+10x2+11x3+12x4 = 2 13x1+14x2+15x3+16x4 = 1

Apply the following commands : >> A = [ 1 2 ; 2 1 ] >>[X D] = eig(A);

Verify that the columns of X in the example above indeed are eigenvectors to the matrix A. In other words, multiply (using Matlab) the matrix A to the columns (one at a time) of X and check that they are eigenvectors corresponding to the eigenvalues.

Compute characteristic polynomial for :

A=[2 3 1;-1 2 3;0 1 2]


EX1: Given the following matrix:

3 2 A = 1 0

1 2

0

3

Using MATLAB commands find the following:

The eigenvalues of matrix A The eigenvectors of matrix A

EX2: Find the characteristic polynomial for A in EX1

3


Laboratory #8 – Interpolation


The objective of this introductory laboratory is to introduce interpolation polynomial.


a. Finding the coefficients of the Lagrange interpolating polynomial b. Finding interpolating polynomial using MATLAB


Polynomial curve fitting

Syntax >>p = polyfit(x,y,n)

Description

p = polyfit(x,y,n) finds the coefficients of a polynomial p(x) of degree n that fits the data, p(x(i)) to y(i), in a least squares sense. The result p is a row vector of length n+1 containing the polynomial coefficients in descending powers:

[p,S] = polyfit(x,y,n) returns the polynomial coefficients p and a structure S for use with polyval to obtain error estimates or predictions.

Example:

Given f (x) = 1 x

find the interpolating polynomial approximate the value of 1.5

x 2 4 5 f(x) 0.5 0.25 0.2

>> x=[2 4 5] x =

2 4 5

>> y=[0.5 0.25 0.2] y =

0.5000 0.2500 0.2000


>> p=polyfit(x,y,2) p =

0.0250 -0.2750 0.9500

>> polyval(p,1.5) ans =

0.5937

The lagrange Function

Syntax >>lagrange(x,y,a)

Description

determines the coefficients of the Lagrange interpolating polynomial p(x) and computes p(a) INPUTS: The vectors x and y and the value a

Example:

Use lagrange.m function to find the Lagrange interpolating polynomial and approximate the value of 1.5

x 0 1 2 3 y -5 -6 -1 16

>>x=[0 1 2 3] >>y=[-5 -6 -1 16] >>lagrange(x,y,1.5)


In this laboratory you are required to find the interpolating polynomial of the following data.

z 1 2 3 4 4.5

w -1 0 3 3.5 2

And approximate the value of f(2. 5).


(


EX1: Find the coefficients of the Lagrange interpolating polynomial that interpolates the function f (x)

= at 25 equally spaced points in the interval [4,7].

Approximate the value of f(5.975)

EX2: Find the interpolating polynomial that interpolates the function f(x) = sin(3+x) over the interval [0,π] using 5 equally spaces.

Approximate the values of f (π ) 3

and f π ) 2

x − 2


Laboratory #9 – Least Squares Regression


The objective of this introductory laboratory is to introduce least square regression in MATLAB.


able to:

a. Finding the linear least square using MATLAB b. The linearization using MATLAB c. The second-order approximating polynomial (nonlinear regression) using MATLAB


Least Square Function

Syntax >> linlsqr(x,y)

Description

Constructs a least square line y = ax + b that best fits a table of x and y values INPUTS: The ROW vectors x and y

MATLAB Code

fprintf('\n E(a,b) =%12.6f\n',sum(err))

%12.6f\n',x(i),y(i),yl,err(i)) %12.6f

|y-(ax+b)| a*x+b y disp(' ') disp(' x ')

disp(' ') for i=1:n yl=a*x(i)+b; err(i)=abs(yl-y(i)); fprintf('%6.2f %6.2f

end err=sum(err.*err);

function linlsqr(x,y) % Construct a least square line y=ax+b % that fits x and y row or column vectors. n=length(x); n=length(y); sumx=sum(x); sumy=sum(y); sumx2=sum(x.*x); sumxy=sum(x.*y); a=(n*sumxy-sumx*sumy)/(n*sumx2-sumx^2); b=(sumx2*sumy-sumxy*sumx)/(n*sumx2-sumx^2); disp(' linear least squares') fprintf('\n a =%12.6f\n',a) fprintf(' b =%12.6f\n',b)


Example:

Constructs a least square line y = ax + b, that best fits the following values of x and y

x 2 4 5 y 0.5 0.25 0.2

>> x=[2 4 5] x =

2 4 5

>> y=[0.5 0.25 0.2] >> y y =

0.5000 0.2500 0.2000

>> linlsqr(x,y) linear least squares

a = -0.103571 b = 0.696429

x y a*x+b |y-(ax+b)|

2.00 0.50 0.489286 0.010714 4.00 0.25 0.282143 0.032143 5.00 0.20 0.178571 0.021429

E(a,b) = 0.001607

Example: Find the least square polynomial of degree 2

x 0 -1 4 5 7

y 5 1 3 2 -1

>>x=[0 -1 4 5 7] >>y=[5 1 3 2 -1] >>polyfit(x,y,2)


a1 = 2

1

linear regression

The data are pairs of independent and dependent variables {(xi,yi): i=1,...,n}. The fitted equation is written G(x) = a1 + a2 x where G is the predicted value of the response obtained by using the equation.

a1 and a2 given by: ∑ f ∑ x 2 − ∑ x∑ xf

a1 = N ∑ x2 − (∑ x)2

a = N ∑ xf − ∑ x∑ f

2 N ∑ x2 − (∑ x)2

linearization line

The goal of linearization is to approximate a curve with a line.The basic idea of linearization is to find the equation of the tangent line at a certain point, and use the tangent line to estimate the desired value of the original function.

Syntax

G(x) = a1 xa2 , where

∑ f ∑ x 2 − ∑ x∑ x f N ∑ x − (∑ x)2

a = N ∑ x f − ∑ x∑f

2 2

N ∑ x − (∑ x)2

a = ea1



In this laboratory you are required to find the least square polynomial of degree 3

x 1 3 4 5 7

y 0 1 3 2 -1

>>x=[1 3 4 5 7] >>y=[0 1 3 2 -1] >>polyfit(x,y,3)

Write a MATLAB script to find the least square line that best fits the following data, Apply linear regression, linearization, and nonlinear regression

x 5 7 6 4

y 8 9 4 1

using the formulas

∑ f ∑ x 2 − ∑ x∑ xf N ∑ xf − ∑x∑ f a1 =

N ∑ x2 − (∑ x)2 a2 =

N ∑ x 2 − (∑ x)2

(Hint: G(x) = a1 + a2 x)

Linear Regression Solution:

x=[5 7 6 4] y=[8 9 4 1] disp=('linear regression') N=length(x) sumx=sum(x) sumy=sum(y) sumxy=sum(x.*y) sumsqx=sum(x.^2) a1=((sumy*sumsqx)-(sumx*sumxy))/(N*sumsqx-(sumx)^2) a2=(N*sumxy-sumx*sumy)/(N*sumsqx-(sumx)^2) G=a1+a2*x


Linearization Solution:

Nonlinear Solution:

disp=('linearization') xbar=log(x) ybar=log(y) sumybar=sum(ybar) sumsqxbar=sum(xbar.^2) sumxbar=sum(xbar) sumxybar=sum(xbar.*ybar) sqsumxbar=sum(xbar.^2) a1bar=((sumybar*sumsqxbar)-(sumxbar*sumxybar))/(N*sumsqxbar- (sumxbar).^2) a1=exp(a1bar) a2=(N*sumxybar-sumxbar*sumybar')/(N*sumsqxbar-(sumxbar).^2) G=a1*x.^a2;

disp=('nonlinear') sumysqx=sum(y.*x.^2) sumcueb=sum(x.^3) sumfth=sum(x.^4) A=[N sumx sumsqx; sumx sumsqx sumcueb; sumsqx sumcueb sumfth] B=[sumy ; sumxy ; sumysqx] Sol=A\B a1=Sol(1) a2=Sol(2) a3=Sol(3) G=a1+a2*x+a3*x.^2


a = ∑ ∑ − ∑ ∑

1


EX1: Write a MATLAB script to find the least square line that best fits the following data:

x 0 2 4 6 8 10 12 14 16

y -3.5 1.5 6 13 19.6 26.1 30.3 29.7 31.4

using the formulas

∑ f ∑ x 2 − ∑ x∑ xf N ∑ xf − ∑x∑ f a1 =

N ∑ x2 − (∑ x)2 a2 =

N ∑ x 2 − (∑ x)2

2

f x x x f 1 2

a2 =

N ∑ x f − ∑ x∑ f

N ∑ x − (∑ x)2

a = ea1

N ∑ x 2 − (∑ x)2

EX2: Apply linearization, and nonlinear regression techniques for EX1

EX3: Find linearization line that best fits the following data

x 2 4 6 8 10 12 14 16

y 2 5 9 18 24 32 40 51


Laboratory #10 – Root Finding Methods


The objective of this introductory laboratory is to introduce some of root finding methods build in MATLAB.


able to:

a. Use inline command. b. Identify the components of:

Bisection Method Newton Method Secant Method

c. Calculate roots of the equation using Bisect.m , Secant.m and Newton.m d. Apply speed command (tic, toc).


Construct inline object

Syntax >> inline(expr)

Description

inline(expr) constructs an inline function object from the MATLAB expression contained in the string expr.

Example:

>> g = inline('t^2')

g=

Inline function:

g(t) = t^2

Stopwatch timer

Syntax >> tic >> ….. % any statments >>toc


Description tic starts a stopwatch timer.toc prints the elapsed time since tic was used.t = toc returns the elapsed time in t.

Example:

>> tic >> for n = 1:10 A = rand(n,n);

>> toc Elapsed time is 58.451261 seconds.

The bisect.m function

Syntax >>bisect(f,a,b,tol,n)

Description

Finds the solution of an equation using bisection method INPUTS: f: the f(x) function a and b: endpoints tol: a tolerance n: The maximum number of iterations

Example

Use MATLAB function bisect.m to find the roots of the function f(x) = x3-x2-1 in [1,2] where ε = 0.01

>> f= inline('x^3-x^2-1')

f = Inline function: f(x) = x^3-x^2-1

>> bisect(f,1,2,0.01,15)

iter a b c f(c) |b-a|/2

0 1.0000 2.0000 1.500000 0.125000 0.500000 1 1.0000 1.5000 1.250000 -0.609375 0.250000 2 1.2500 1.5000 1.375000 -0.291016 0.125000 3 1.3750 1.5000 1.437500 -0.095947 0.062500 4 1.4375 1.5000 1.468750 0.011200 0.031250


5 1.4375 1.4688 1.453125 -0.043194 0.015625

The secant.m function

Syntax >> secant(f,x0,x1,tol,n)

Description

Finds the solution of an equation using the secant method INPUTS: f: the f(x) function x0 and x1: initials approximations tol: a tolerance n: The maximum number of iterations

Example

Find the root of f(x)=x6-x-1 in [1,1.5], ε =0.05 using secant.m

>> f= inline('x^6-x-1') f =

Inline function: f(x) = x^6-x-1

>> secant(f,1,1.5,0.05,15)

iter xn f(xn) f(xn+1)-f(xn) |xn+1-xn|

0 1.000000 -1.000000 0 1.500000 8.890625 9.890625 0.500000 1 1.050553 -0.706218 -9.596843 0.449447 2 1.083627 -0.464507 0.241711 0.033074

The newton.m function

Syntax >>newton(f,df,x0,tol,n)

Description

Finds the solution of an equation using the Newton method INPUTS: f: the f(x) function df: the f '(x) function x0: initials approximation tol: a tolerance n: The maximum number of iterations


x − 2

Example

Find the root of f(x)=x6-x-1 , ε =0.05 using newton.m

>> f= inline('x^6-x-1') f =

Inline function: f(x) = x^6-x-1

>> df=inline('6*x^5-1') df = Inline function:

df(x) = 6*x^5-1

>> newton(f,df,0.5,0.05,15)

iter x f(x) df(x) |xn+1-xn|

0 0.500000 -1.484375 -0.812500 1 -1.326923 5.785438 -25.681979 1.826923 2 -1.101651 1.889224 -10.735786 0.225272 3 -0.925676 0.554828 -5.078000 0.175974 4 -0.816415 0.112535 -3.176241 0.109261 5 -0.780985 0.007897 -2.743272 0.035430


In this laboratory you are required to find the roots of the following equations

�f(x) = -2x4 +x2 +12 �f(x) = sin(x) �f(x) = 3x3 –x2 +4 �f(x) = x2 - cos (x)

Using Bisection,Secant and Newton methods in [1,2] where ε =0.05


EX1: Use MATLAB build-in function to compare the speeds between (bisection,

newton and secant methods) for the following functions:

1-f(x) = e3x+2 in [0,2]

2- f (x) = in [0,1]


Appendix A: Rules to fallow by Computer Lab Users • The loud conversations / discussion that disturbing the other users is prohibited.

• Audio CDs or applications with audio output may only be used with headphones with minimum volume that it should not be disturb other users.

• All cell phones are to be turned off or set to silent while in the lab. If you receive a phone call, you should exit the lab before answering your cell phone.

• Do not bring food or beverages inside the lab.

• Any file saved on the computer hard drive will be deleted without notice. Students should save their work onto an external storage device such as USB drive or CD.

• Changing hardware and software configurations in the computer labs is prohibited. This includes modifications of the settings, modification of system software, unplugging equipment, etc.

• Open labs are reserved for academic use only. Use of lab computers for other purposes, such as personal email, non-academic printing, instant messaging, playing games, and listening to music is not

permitted.

• Please leave the computer bench ready for the next patron. Leave the monitor on the login screen, and do not forget to take goods related to you. While leaving computer bench please push the chair inside

the computer bench.

• Users are responsible for their own personal belongings and equipment. Do not leave anything in the Computer Lab unattended for any length of time. The Computer Labs staffs are not responsible for lost

or stolen items.

• Users are not allowed to clear paper jams in the printer by themselves.

• Operate the lab equipments with care.

• After using white-board the user must clean for other user.

Thanks for your cooperation.

Information Science Department


Appendix B: Endorsement

LABORARTORY MANUAL FOR

ISC 210 Computational Methods

# Instructor name Remarks Signature Date 1 Dr. Jehad Al Dallal

2 Latifa Al-Dhaferi

Laboratory Hardware and Software/Tools RequirementsLaboratory ScheduleLaboratory PolicyLaboratory Grading PolicyIntroductionFamiliarity with Lab Hardware and Software toolsLaboratory Tools SetupLaboratory #1 – Introduction to MATLAB1. Laboratory Objective3. Laboratory Introductory Concepts4. Laboratory Problem Description5. Laboratory Exerciseswho : ………………………………………………………………………..clc : ………………………………………………………………………..

Laboratory #2 –Introduction to Script Files and Matrices1. Laboratory Objective3. Laboratory Introductory Concepts4. Laboratory Problem Description5. Laboratory Exercises2. A + B

Laboratory #3 – Functions in MATLAB1. Laboratory Objective3. Laboratory Introductory Conceptsfunction [outputs]=functionname(inputs)

4. Laboratory Problem DescriptionTest your function with the following values5. Laboratory ExercisesSurface Area = 4 π r2Sample output for radius r = 3Test your function for x=2 and y=3

Laboratory #4 – If Statement and For loop1. Laboratory Objective3. Laboratory Introductory ConceptsSyntaxSyntax:if statement, condition.elseEndSyntax:end4. Laboratory Problem Description5. Laboratory Exercises> = 90 A> = 80 B> = 70 C> = 60 DElse FSample output for radius MT1 = 22 , MT2 = 23 Final = 45

Laboratory #5 – Solving Linear Systems in MATLAB1. Laboratory Objective3. Laboratory Introductory ConceptssymSyntaxDescriptionSolving Linear Systemsx – 2y + z = 0 2y – 8z = 8-4x + 5y + 9z = -9The seidel.m functionSyntax seidel(A,b,x0,tol,itmax)NORM – Vector NormSyntaxDescriptionSyntaxDescription

4. Laboratory Problem Description2)5. Laboratory Exercises

Laboratory #6 – Polynomials1. Laboratory Objective3. Laboratory Introductory ConceptsPolynomial with specified rootsSyntaxDescriptionRemarksExample1Polynomial derivativeSyntaxDescriptionExample1Polynomial EvaluationSyntaxDescriptionExamples

4. Laboratory Problem Description5. Laboratory Exercises

f(x) = cos(x)+sin(3+x) for x=90, 270

Laboratory #7 – Eigenvalues and Eigenvectors1. Laboratory Objective3. Laboratory Introductory ConceptsEigenvalues and eigenvectorsSyntaxDescriptionCharacteristic Equation


Laboratory #8 – Interpolation1. Laboratory Objective3. Laboratory Introductory ConceptsPolynomial curve fittingSyntaxDescriptionExample:The lagrange FunctionSyntaxDescriptionExample:

>>x=[0 1 2 3]>>y=[-5 -6 -1 16]>>lagrange(x,y,1.5)4. Laboratory Problem Description5. Laboratory Exercises

Laboratory #9 – Least Squares Regression1. Laboratory Objective3. Laboratory Introductory ConceptsLeast Square FunctionSyntaxDescriptionMATLAB CodeExample:linear regressionlinearization lineSyntax


Laboratory #10 – Root Finding Methods1. Laboratory Objective3. Laboratory Introductory ConceptsConstruct inline object SyntaxDescriptionExample:Stopwatch timerSyntaxDescriptionExample:The bisect.m functionSyntaxDescriptionExampleThe secant.m functionSyntaxDescriptionExampleThe newton.m functionSyntaxDescriptionExample


lab manual manuals/isc 210 lab... · 2020. 8. 17. · isc 210 computational methods p a g e | 7...

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