Przeglądaj wersję html pliku:

### tutorial2 Programming in Matlab (ang)


   

Edward Neuman Department of Mathematics Southern Illinois University at Carbondale edneuman@siu.edu

This tutorial is intended for those who want to learn basics of MATLAB programming language. Even with a limited knowledge of this language a beginning programmer can write his/her own computer code for solving problems that are complex enough to be solved by other means. Numerous examples included in this text should help a reader to learn quickly basic programming tools of this language. Topics discussed include the m-files, inline functions, control flow, relational and logical operators, strings, cell arrays, rounding numbers to integers and MATLAB graphics.



 

Files that contain a computer code are called the m-files. There are two kinds of m-files: the script files and the function files. Script files do not take the input arguments or return the output arguments. The function files may take input arguments or return output arguments. To make the m-file click on File next select New and click on M-File from the pull-down menu. You will be presented with the MATLAB Editor/Debugger screen. Here you will type your code, can make changes, etc. Once you are done with typing, click on File, in the MATLAB Editor/Debugger screen and select Save As… . Chose a name for your file, e.g., firstgraph.m and click on Save. Make sure that your file is saved in the directory that is in MATLAB's search path. If you have at least two files with duplicated names, then the one that occurs first in MATLAB's search path will be executed. To open the m-file from within the Command Window type edit firstgraph and then press Enter or Return key. Here is an example of a small script file
% Script file firstgraph. x = pi/100:pi/100:10*pi; y = sin(x)./x; plot(x,y) grid

2

Let us analyze contents of this file. First line begins with the percentage sign %. This is a comment. All comments are ignored by MATLAB. They are added to improve readability of the code. In the next two lines arrays x and y are created. Note that the semicolon follows both commands. This suppresses display of the content of both vectors to the screen (see Tutorial 1, page 5 for more details). Array x holds 1000 evenly spaced numbers in the interval [/100 10] while the array y holds the values of the sinc function y = sin(x)/x at these points. Note use of the dot operator . before the right division operator /. This tells MATLAB to perform the componentwise division of two arrays sin(x) and x. Special operators in MATLAB and operations on one- and two dimensional arrays are discussed in detail in Tutorial 3, Section 3.2. The command plot creates the graph of the sinc function using the points generated in two previous lines. For more details about command plot see Section 2.8.1 of this tutorial. Finally, the command grid is executed. This adds a grid to the graph. We invoke this file by typing its name in the Command Window and next pressing the Enter or Return key
firstgraph

1

0.8

0.6

0.4

0.2

0

-0.2

-0.4

0

5

10

15

20

25

30

35

Here is an example of the function file
function [b, j] = descsort(a) % Function descsort sorts, in the descending order, a real array a. % Second output parameter j holds a permutation used to obtain % array b from the array a.

3

[b ,j] = sort(-a); b = -b;

This function takes one input argument, the array of real numbers, and returns a sorted array together with a permutation used to obtain array b from the array a. MATLAB built-in function sort is used here. Recall that this function sort numbers in the ascending order. A simple trick used here allows us to sort an array of numbers in the descending order. To demonstrate functionality of the function under discussion let
a = [pi –10 35 0.15]; [b, j] = descsort(a) b = 35.0000 j = 3 1 4 2 3.1416 0.1500 -10.0000

You can execute function descsort without output arguments. In this case an information about a permutation used will be lost
descsort(a) ans = 35.0000

3.1416

0.1500

-10.0000

Since no output argument was used in the call to function descorder a sorted array a is assigned to the default variable ans.



     

Sometimes it is handy to define a function that will be used during the current MATLAB session only. MATLAB has a command inline used to define the so-called inline functions in the Command Window. Let
f = inline('sqrt(x.^2+y.^2)','x','y') f = Inline function: f(x,y) = sqrt(x.^2+y.^2)

You can evaluate this function in a usual way
f(3,4) ans = 5

4

Note that this function also works with arrays. Let
A = [1 2;3 4] A = 1 3 2 4

and
B = ones(2) B = 1 1 1 1

Then
C = f(A, B) C = 1.4142 3.1623 2.2361 4.1231

For the later use let us mention briefly a concept of the string in MATLAB. The character string is a text surrounded by single quotes. For instance,
str = 'programming in MATLAB is fun'

str = programming in MATLAB is fun

is an example of the string. Strings are discussed in Section 2.5 of this tutorial. In the previous section you have learned how to create the function files. Some functions take as the input argument a name of another function, which is specified as a string. In order to execute function specified by string you should use the command feval as shown below feval('functname', input parameters of function functname) Consider the problem of computing the least common multiple of two integers. MATLAB has a built-in function lcm that computes the number in question. Recall that the least common multiple and the greatest common divisor (gcd) satisfy the following equation ab = lcm(a, b)gcd(a, b)

MATLAB has its own function, named gcd, for computing the greatest common divisor.

5

To illustrate the use of the command feval let us take a closer look at the code in the m-file mylcm
function c = mylcm(a, b) % The least common multiple c of two integers a and b. if feval('isint',a) & feval('isint',b) c = a.*b./gcd(a,b); else error('Input arguments must be integral numbers') end

Command feval is used twice in line two (I do do not count the comment lines and the blank lines). It checks whether or not both input arguments are integers. The logical and operator & used here is discussed in Section 2.4. If this condition is satisfied, then the least common multiple is computed using the formula mentioned earlier, otherwise the error message is generated. Note use of the command error, which takes as the argument a string. The conditional if - else - end used here is discussed in Section 2.4 of this tutorial. Function that is executed twice in the body of the function mylcm is named isint
function k = isint(x); % Check whether or not x is an integer number. % If it is, function isint returns 1 otherwise it returns 0. if abs(x - round(x)) < realmin k = 1; else k = 0; end

New functions used here are the absolute value function (abs) and the round function (round). The former is the classical math function while the latter takes a number and rounds it to the closest integer. Other functions used to round real numbers to integers are discussed in Section 2.7. Finally, realmin is the smallest positive real number on your computer
format long realmin ans = 2.225073858507201e-308 format short

The Trapezoidal Rule with the correction term is often used to numerical integration of functions that are differentiable on the interval of integration

6


a

b

h h2 f ( x )dx  [ f ( a )  f (b)]  [ f ' (a )  f ' (b)] 2 12

where h = b – a. This formula is easy to implement in MATLAB
function y = corrtrap(fname, fpname, a, b) % % % % % Corrected trapezoidal rule y. fname - the m-file used to evaluate the integrand, fpname - the m-file used to evaluate the first derivative of the integrand, a,b - endpoinds of the interval of integration.

h = b - a; y = (h/2).*(feval(fname,a) + feval(fname,b))+ (h.^2)/12.*( ... feval(fpname,a) - feval(fpname,b));

The input parameters a and b can be arrays of the same dimension. This is possible because the dot operator proceeds certain arithmetic operations in the command that defines the variable y. In this example we will integrate the sine function over two intervals whose end points are stored in the arrays a and b, where
a = [0 0.1]; b = [pi/2 pi/2 + 0.1]; y = corrtrap('sin', 'cos', a, b) y = 0.9910 1.0850

Since the integrand and its first order derivative are both the built-in functions, there is no need to define these functions in the m-files.



 

To control the flow of commands, the makers of MATLAB supplied four devices a programmer can use while writing his/her computer code

   

the for loops the while loops the if-else-end constructions the switch-case constructions

7





  

Syntax of the for loop is shown below for k = array commands end The commands between the for and end statements are executed for all values stored in the array. Suppose that one-need values of the sine function at eleven evenly spaced points n/10, for n = 0, 1, …, 10. To generate the numbers in question one can use the for loop
for n=0:10 x(n+1) = sin(pi*n/10); end

x x = Columns 1 through 7 0 0.3090 Columns 8 through 11 0.8090 0.5878

0.5878 0.3090

0.8090 0.0000

0.9511

1.0000

0.9511

The for loops can be nested
H = zeros(5); for k=1:5 for l=1:5 H(k,l) = 1/(k+l-1); end end H H = 1.0000 0.5000 0.3333 0.2500 0.2000 0.5000 0.3333 0.2500 0.2000 0.1667 0.3333 0.2500 0.2000 0.1667 0.1429 0.2500 0.2000 0.1667 0.1429 0.1250 0.2000 0.1667 0.1429 0.1250 0.1111

Matrix H created here is called the Hilbert matrix. First command assigns a space in computer's memory for the matrix to be generated. This is added here to reduce the overhead that is required by loops in MATLAB. The for loop should be used only when other methods cannot be applied. Consider the following problem. Generate a 10-by-10 matrix A = [akl], where akl = sin(k)cos(l). Using nested loops one can compute entries of the matrix A using the following code

8

A = zeros(10); for k=1:10 for l=1:10 A(k,l) = sin(k)*cos(l); end end

A loop free version might look like this
k = 1:10; A = sin(k)'*cos(k);

First command generates a row array k consisting of integers 1, 2, … , 10. The command sin(k)' creates a column vector while cos(k) is the row vector. Components of both vectors are the values of the two trig functions evaluated at k. Code presented above illustrates a powerful feature of MATLAB called vectorization. This technique should be used whenever it is possible.





 
 

Syntax of the while loop is while expression statements end This loop is used when the programmer does not know the number of repetitions a priori. Here is an almost trivial problem that requires a use of this loop. Suppose that the number  is divided by 2. The resulting quotient is divided by 2 again. This process is continued till the current quotient is less than or equal to 0.01. What is the largest quotient that is greater than 0.01? To answer this question we write a few lines of code
q = pi; while q > 0.01 q = q/2; end q q = 0.0061




    
 

Syntax of the simplest form of the construction under discussion is if expression commands end

9

This construction is used if there is one alternative only. Two alternatives require the construction if expression commands (evaluated if expression is true) else commands (evaluated if expression is false) end Construction of this form is used in functions mylcm and isint (see Section 2.3). If there are several alternatives one should use the following construction if expression1 commands (evaluated if expression 1 is true) elseif expression 2 commands (evaluated if expression 2 is true) elseif … . . . else commands (executed if all previous expressions evaluate to false) end

Chebyshev polynomials Tn(x), n = 0, 1, … of the first kind are of great importance in numerical analysis. They are defined recursively as follows Tn(x) = 2xTn – 1(x) – Tn – 2(x), n = 2, 3, … , T0(x) = 1, T1(x) = x. Implementation of this definition is easy
function T = ChebT(n) % Coefficients T of the nth Chebyshev polynomial of the first kind. % They are stored in the descending order of powers. t0 = 1; t1 = [1 0]; if n == 0 T = t0; elseif n == 1; T = t1; else for k=2:n T = [2*t1 0] - [0 0 t0]; t0 = t1; t1 = T; end end

10

Coefficients of the cubic Chebyshev polynomial of the first kind are
coeff = ChebT(3) coeff = 4

0

-3

0

Thus T3(x) = 4x3 – 3x.



 
   


Syntax of the switch-case construction is switch expression (scalar or string) case value1 (executes if expression evaluates to value1) commands case value2 (executes if expression evaluates to value2) commands . . . otherwise statements end Switch compares the input expression to each case value. Once the match is found it executes the associated commands. In the following example a random integer number x from the set {1, 2, … , 10} is generated. If x = 1 or x = 2, then the message Probability = 20% is displayed to the screen. If x = 3 or 4 or 5, then the message Probability = 30% is displayed, otherwise the message Probability = 50% is generated. The script file fswitch utilizes a switch as a tool for handling all cases mentioned above
% Script file fswitch. x = ceil(10*rand); % Generate a random integer in {1, 2, ... , 10} switch x case {1,2} disp('Probability = 20%'); case {3,4,5} disp('Probability = 30%'); otherwise disp('Probability = 50%'); end

Note use of the curly braces after the word case. This creates the so-called cell array rather than the one-dimensional array, which requires use of the square brackets.

11

Here are new MATLAB functions that are used in file fswitch rand – uniformly distributed random numbers in the interval (0, 1) ceil – round towards plus infinity infinity (see Section 2.5 for more details) disp – display string/array to the screen
Let us test this code ten times for k = 1:10 fswitch end Probability Probability Probability Probability Probability Probability Probability Probability Probability Probability = = = = = = = = = = 50% 30% 50% 50% 50% 30% 20% 50% 30% 50%

!

"    #

Comparisons in MATLAB are performed with the aid of the following operators

Operator < <= > >= == ~=

Description Less than Less than or equal to Greater Greater or equal to Equal to Not equal to

Operator == compares two variables and returns ones when they are equal and zeros otherwise. Let
a = [1 1 3 4 1] a = 1 Then 1 3 4 1

12

ind = (a == 1) ind = 1 1 0 0 1

You can extract all entries in the array a that are equal to 1 using
b = a(ind) b = 1 1 1

This is an example of so-called logical addressing in MATLAB. You can obtain the same result using function find
ind = find(a == 1) ind = 1 2 5

Variable ind now holds indices of those entries that satisfy the imposed condition. To extract all ones from the array a use
b = a(ind) b = 1 1 1

There are three logical operators available in MATLAB

Logical operator | & ~

Description And Or Not

Suppose that one wants to select all entries x that satisfy the inequalities x  1 or x < -0.2 where
x = randn(1,7) x = -0.4326 -1.6656 0.1253 0.2877 -1.1465 1.1909 1.1892

is the array of normally distributed random numbers. We can solve easily this problem using operators discussed in this section
ind = (x ind = 1 y = x(ind) 1 0 0 1 1 1 >= 1) | (x < -0.2)

13

y = -0.4326 -1.6656 -1.1465 1.1909 1.1892

Solve the last problem without using the logical addressing. In addition to relational and logical operators MATLAB has several logical functions designed for performing similar tasks. These functions return 1 (true) if a specific condition is satisfied and 0 (false) otherwise. A list of these functions is too long to be included here. The interested reader is referred to , pp. 85-86 and , Chapter 10, pp. 26-27. Names of the most of these functions begin with the prefix is. For instance, the following command
isempty(y) ans = 0

returns 0 because the array y of the last example is not empty. However, this command
isempty([ ]) ans = 1

returns 1 because the argument of the function used is the empty array [ ]. Here is another example that requires use of the isempty command
function dp = derp(p) % Derivative dp of an algebraic polynomial that is % represented by its coefficients p. They must be stored % in the descending order of powers. n = length(p) - 1; p = p(:)'; dp = p(1:n).*(n:-1:1); k = find(dp ~= 0); if ~isempty(k) dp = dp(k(1):end); else dp = 0; end

% Make sure p is a row array. % Apply the Power Rule.

% Delete leading zeros if any.

In this example p(x) = x3 + 2x2 + 4. Using a convention for representing polynomials in MATLAB as the array of their coefficients that are stored in the descending order of powers, we obtain
dp = derp([1 2 0 4]) dp = 3 4 0

14

$%  String is an array of characters. Each character is represented internally by its ASCII value. This is an example of a string str = 'I am learning MATLAB this semester.' str = I am learning MATLAB this semester. To see its ASCII representation use function double str1 = double(str) str1 = Columns 73 110 Columns 103 105 Columns 115 1 through 12 32 97 109 13 through 24 32 77 65 25 through 35 32 115 101 32 108 101 97 114 110 105 84 76 65 66 32 116 104 109 101 115 116 101 114 46 You can convert array str1 to its character form using function char str2 = char(str1) str2 = I am learning MATLAB this semester. Application of the string conversion is used in Tutorial 3, Section 3.11 to uncode and decode messages. To compare two strings for equality use function strcmp iseq = strcmp(str, str2) iseq = 1 Two strings can be concatenated using function ctrcat strcat(str,str2) ans = I am learning MATLAB this semester.I am learning MATLAB this semester. Note that the concatenated strings are not separated by the blank space. 15 You can create two-dimensional array of strings. To this aim the cell array rather than the twodimensional array must be used. This is due to the fact that numeric array must have the same number of columns in each row. This is an example of the cell array carr = {'first name'; 'last name'; 'hometown'} carr = 'first name' 'last name' 'hometown' Note use of the curly braces instead of the square brackets. Cell arrays are discussed in detail in the next section of this tutorial. MATLAB has two functions to categorize characters: isletter and isspace. We will run both functions on the string str isletter(str) ans = Columns 1 through 12 1 0 1 1 1 Columns 13 through 24 1 0 1 1 1 Columns 25 through 35 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 isspace(str) ans = Columns 1 through 12 0 1 0 0 0 Columns 13 through 24 0 1 0 0 0 Columns 25 through 35 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 The former function returns 1 if a character is a letter and 0 otherwise while the latter returns 1 if a character is whitespace (blank, tab, or new line) and 0 otherwise. We close this section with two important functions that are intended for conversion of numbers to strings. Functions in question are named int2str and num2str. Function int2str rounds its argument (matrix) to integers and converts the result into a string matrix. 16 Let A = randn(3) A = -0.4326 -1.6656 0.1253 0.2877 -1.1465 1.1909 1.1892 -0.0376 0.3273 Then B = int2str(A) B = 0 0 -2 -1 0 1 1 0 0 Function num2str takes an array and converts it to the array string. Running this function on the matrix A defined earlier, we obtain C = num2str(A) C = -0.43256 -1.6656 0.12533 0.28768 -1.1465 1.1909 1.1892 -0.037633 0.32729 Function under discussion takes a second optional argument - a number of decimal digits. This feature allows a user to display digits that are far to the right of the decimal point. Using matrix A again, we get D = num2str(A, 18) D = -0.43256481152822068 -1.665584378238097 0.12533230647483068 0.28767642035854885 -1.1464713506814637 1.1909154656429988 1.1891642016521031 -0.037633276593317645 0.32729236140865414 For comparison, changing format to long, we obtain format long A A = -0.43256481152822 -1.66558437823810 0.12533230647483 0.28767642035855 -1.14647135068146 1.19091546564300 1.18916420165210 -0.03763327659332 0.32729236140865 format short 17 Function num2str his is often used for labeling plots with the title, xlabel, ylabel, and text commands. &  ' Two data types the cell arrays and structures make MATLAB a powerful tool for applications. They hold other MATLAB arrays. In this section we discuss the cell arrays only. To learn about structures the interested reader is referred to , Chapter 13 and , Chapter 12. To create the cell array one can use one of the two techniques called the cell indexing and the content indexing. The following example reveals differences between these two techniques. Suppose one want to save the string 'John Brown' and his SSN 123-45-6789 (without dashes) in the cell array. 1. Cell indexing A(1,1) = {'John Brown'}; A(1,2) = {[1 2 3 4 5 6 7 8 9]}; 2. Content indexing B{1,1} = 'John Brown'; B{1,2} = [1 2 3 4 5 6 7 8 9]; A condensed form of the cell array A is A A = 'John Brown' [1x9 double] To display its full form use function celldisp celldisp(A) A{1} = John Brown A{2} = 1 2 3 4 5 6 7 8 9 To access data in a particular cell use content indexing on the right-hand side. For instance, B{1,1} ans = John Brown To delete a cell use the empty matrix operator [ ]. For instance, this operation 18 B(1) = [] B = [1x9 double] deletes cell B(1, 1) of the cell array B. This command C = {A B} C = {1x2 cell} {1x1 cell} creates a new cell array celldisp(C) C{1}{1} = John Brown C{1}{2} = 1 2 C{2}{1} = 1 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 How would you delete cell C(2,1)? ( "     ) * * +   We have already used two MATLAB functions round and ceil to round real numbers to integers. They are briefly described in the previous sections of this tutorial. A full list of functions designed for rounding numbers is provided below Function floor ceil fix round Description Round towards minus infinity Round towards plus infinity Round towards zero Round towards nearest integer To illustrate differences between these functions let us create first a two-dimensional array of random numbers that are normally distributed (mean = 0, variance = 1) using another MATLAB function randn randn('seed', 0) T = randn(5) % This sets the seed of the random numbers generator to zero 19 T = 1.1650 0.6268 0.0751 0.3516 -0.6965 1.6961 0.0591 1.7971 0.2641 0.8717 -1.4462 -0.7012 1.2460 -0.6390 0.5774 -0.3600 -0.1356 -1.3493 -1.2704 0.9846 -0.0449 -0.7989 -0.7652 0.8617 -0.0562 A = floor(T) A = 1 0 0 0 -1 1 0 1 0 0 -2 -1 1 -1 0 -1 -1 -2 -2 0 -1 -1 -1 0 -1 B = ceil(T) B = 2 1 1 1 0 2 1 2 1 1 -1 0 2 0 1 0 0 -1 -1 1 0 0 0 1 0 C = fix(T) C = 1 0 0 0 0 1 0 1 0 0 -1 0 1 0 0 0 0 -1 -1 0 0 0 0 0 0 D = round(T) D = 1 1 0 0 -1 2 0 2 0 1 -1 -1 1 -1 1 0 0 -1 -1 1 0 -1 -1 1 0 It is worth mentioning that the following identities floor(x) = fix(x) and ceil(x) = fix(x) for x  0 for x  0 20 hold true. In the following m-file functions floor and ceil are used to obtain a certain representation of a nonnegative real number function [m, r] = rep4(x) % Given a nonnegative number x, function rep4 computes an integer m % and a real number r, where 0.25 <= r < 1, such that x = (4^m)*r. if x == 0 m = 0; r = 0; return end u = log10(x)/log10(4); if u < 0 m = floor(u) else m = ceil(u); end r = x/4^m; Command return causes a return to the invoking function or to the keyboard. Function log10 is the decimal logarithm. [m, r] = rep4(pi) m = 1 r = 0.7854 We check this result format long (4^m)*r ans = 3.14159265358979 format short ,  # MATLAB has several high-level graphical routines. They allow a user to create various graphical objects including two- and three-dimensional graphs, graphical user interfaces (GUIs), movies, to mention the most important ones. For the comprehensive presentation of the MATLAB graphics the interested reader is referred to . 21 Before we begin discussion of graphical tools that are available in MATLAB I recommend that you will run a couple of demos that come with MATLAB. In the Command Window click on Help and next select Examples and Demos. ChoseVisualization, and next select 2-D Plots. You will be presented with several buttons. Select Line and examine the m-file below the graph. It should give you some idea about computer code needed for creating a simple graph. It is recommended that you examine carefully contents of all m-files that generate the graphs in this demo.     Basic function used to create 2-D graphs is the plot function. This function takes a variable number of input arguments. For the full definition of this function type help plot in the Command Window. In this example the graph of the rational function f ( x )  using a variable number of points on the graph of f(x) % Script file graph1. % Graph of the rational function y = x/(1+x^2). for n=1:2:5 n10 = 10*n; x = linspace(-2,2,n10); y = x./(1+x.^2); plot(x,y,'r') title(sprintf('Graph %g. , (n+1)/2, n10)) axis([-2,2,-.8,.8]) xlabel('x') ylabel('y') grid pause(3) end x , -2  x  2, will be plotted 1 x2 Plot based upon n = %g points.' ... Let us analyze contents of this file. The loop for is executed three times. Therefore, three graphs of the same function will be displayed in the Figure Window. A MATLAB function linspace(a, b, n) generates a one-dimensional array of n evenly spaced numbers in the interval [a b]. The y-ordinates of the points to be plotted are stored in the array y. Command plot is called with three arguments: two arrays holding the x- and the y-coordinates and the string 'r', which describes the color (red) to be used to paint a plotted curve. You should notice a difference between three graphs created by this file. There is a significant difference between smoothness of graphs 1 and 3. Based on your visual observation you should be able to reach the following conclusion: "more points you supply the smoother graph is generated by the function plot". Function title adds a descriptive information to the graphs generated by this m-file and is followed by the command sprintf. Note that sprintf takes here three arguments: the string and names of two variables printed in the title of each graph. To specify format of printed numbers we use here the construction %g, which is recommended for printing integers. The command axis tells MATLAB what the dimensions of the box holding the plot are. To add more information to 22 the graphs created here, we label the x- and the y-axes using commands xlabel and the ylabel, respectively. Each of these commands takes a string as the input argument. Function grid adds the grid lines to the graph. The last command used before the closing end is the pause command. The command pause(n) holds on the current graph for n seconds before continuing, where n can also be a fraction. If pause is called without the input argument, then the computer waits to user response. For instance, pressing the Enter key will resume execution of a program. Function subplot is used to plot of several graphs in the same Figure Window. Here is a slight modification of the m-file graph1 % Script file graph2. % Several plots of the rational function y = x/(1+x^2) % in the same window. k = 0; for n=1:3:10 n10 = 10*n; x = linspace(-2,2,n10); y = x./(1+x.^2); k = k+1; subplot(2,2,k) plot(x,y,'r') title(sprintf('Graph %g. Plot based upon n = %g points.' ... , k, n10)) xlabel('x') ylabel('y') axis([-2,2,-.8,.8]) grid pause(3); end The command subplot is called here with three arguments. The first two tell MATLAB that a 2-by-2 array consisting of four plots will be created. The third parameter is the running index telling MATLAB which subplot is currently generated. graph2 23 Graph 1. Plot based upon n = 10 points. 0.5 0 -0.5 0 1 2 x Graph 3. Plot based upon n = 70 points. 0.5 0 -0.5 -2 -1 0 x 1 2 -2 -1 Graph 2. Plot based upon n = 40 points. 0.5 0 -0.5 0 1 2 x Graph 4. Plot based upon n = 100 points. 0.5 0 -0.5 -2 -1 0 x 1 2 -2 -1 y y Using command plot you can display several curves in the same Figure Window. We will plot two ellipses ( x  3) 2 ( y  2) 2 ( x  7) 2 ( y  8) 2   1 and  1 36 81 4 36 using command plot % Script file graph3. % Graphs of two ellipses % % and % x(t) = 7 + 2cos(t), y(t) = 8 + 6sin(t). x(t) = 3 + 6cos(t), y(t) = -2 + 9sin(t) t = 0:pi/100:2*pi; x1 = 3 + 6*cos(t); y1 = -2 + 9*sin(t); x2 = 7 + 2*cos(t); y2 = 8 + 6*sin(t); h1 = plot(x1,y1,'r',x2,y2,'b'); set(h1,'LineWidth',1.25) axis('square') xlabel('x') y y 24 h = get(gca,'xlabel'); set(h,'FontSize',12) set(gca,'XTick',-4:10) ylabel('y') h = get(gca,'ylabel'); set(h,'FontSize',12) set(gca,'YTick',-12:2:14) title('Graphs of (x-3)^2/36+(y+2)^2/81 = 1 and (x-7)^2/4+(y-8)^2/36 = 1.') h = get(gca,'Title'); set(h,'FontSize',12) grid In this file we use several new MATLAB commands. They are used here to enhance the readability of the graph. Let us now analyze the computer code contained in the m-file graph3. First of all, the equations of ellipses in rectangular coordinates are transformed to parametric equations. This is a convenient way to plot graphs of equations in the implicit form. The points to be plotted, and smoothed by function plot, are defined in the first five lines of the file. I do not count here the comment lines and the blank lines. You can plot both curves using a single plot command. Moreover, you can select colors of the curves. They are specified as strings (see line 6). MATLAB has several colors you can use to plot graphs: y m c r g b w k yellow magenta cyan red green blue white black Note that the command in line 6 begins with h1 = plot… Variable h1 holds an information about the graph you generate and is called the handle graphics. Command set used in the next line allows a user to manipulate a plot. Note that this command takes as the input parameter the variable h1. We change thickness of the plotted curves from the default value to a width of our choice, namely 1.25. In the next line we use command axis to customize plot. We chose option 'square' to force axes to have square dimensions. Other available options are: 'equal', 'normal', 'ij', 'xy', and 'tight'. To learn more about these options use MATLAB's help. If function axis is not used, then the circular curves are not necessarily circular. To justify this let us plot a graph of the unit circle of radius 1 with center at the origin t = 0:pi/100:2*pi; x = cos(t); y = sin(t); plot(x,y) 25 1 0.8 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 -1 -1 -0.5 0 0.5 1 Another important MATLAB function used in the file under discussion is named get (see line 10). It takes as the first input parameter a variable named gca = get current axis. It should be obvious to you, that the axis targeted by this function is the x-axis. Variable h = get(gca, … ) is the graphics handle of this axis. With the information stored in variable h, we change the font size associated with the x-axis using the 'FontSize' string followed by a size of the font we wish to use. Invoking function set in line 12, we will change the tick marks along the x-axis using the 'XTick' string followed by the array describing distribution of marks. You can comment out temporarily line 12 by adding the percent sign % before the word set to see the difference between the default tick marks and the marks generated by the command in line 12. When you are done delete the percent sign you typed in line 12 and click on Save from the File menu in the MATLAB Editor/Debugger. Finally, you can also make changes in the title of your plot. For instance, you can choose the font size used in the title. This is accomplished here by using function set. It should be obvious from the short discussion presented here that two MATLAB functions get and set are of great importance in manipulating graphs. Graphs of the ellipses in question are shown on the next page graph3 26 Graphs of (x-3)2/36+(y+2)2/81 = 1 and (x-7)2/4+(y-8)2/36 = 1. 14 12 10 8 6 4 2 0 -2 -4 -6 -8 -10 -12 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 y x MATLAB has several functions designed for plotting specialized 2-D graphs. A partial list of these functions is included here fill, polar, bar, barh, pie, hist, compass, errorbar, stem, and feather. In this example function fill is used to create a well-known object n = -6:6; x = sin(n*pi/6); y = cos(n*pi/6); fill(x, y, 'r') axis('square') title('Graph of the n-gone') text(-0.45,0,'What is a name of this object?') Function in question takes three input parameters - two arrays, named here x and y. They hold the x- and y-coordinates of vertices of the polygon to be filled. Third parameter is the user-selected color to be used to paint the object. A new command that appears in this short code is the text command. It is used to annotate a text. First two input parameters specify text location. Third input parameter is a text, which will be added to the plot. Graph of the filled object that is generated by this code is displayed below 27 Graph of the n-gone 1 0.8 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 -1 -1 -0.5 0 0.5 1 What is a name of this object?     MATLAB has several built-in functions for plotting three-dimensional objects. In this subsection we will deal mostly with functions used to plot curves in space (plot3), mesh surfaces (mesh), surfaces (surf) and contour plots (contour). Also, two functions for plotting special surfaces, sphere and cylinder will be discussed briefly. I recommend that any time you need help with the 3-D graphics you should type help graph3d in the Command Window to learn more about various functions that are available for plotting three-dimensional objects. Let r(t) = < t cos(t), t sin(t), t >, -10  t  10, be the space curve. We plot its graph over the indicated interval using function plot3 % Script file graph4. % Curve r(t) = < t*cos(t), t*sin(t), t >. t = -10*pi:pi/100:10*pi; x = t.*cos(t); y = t.*sin(t); h = plot3(x,y,t); set(h,'LineWidth',1.25) title('Curve u(t) = < t*cos(t), h = get(gca,'Title'); set(h,'FontSize',12) xlabel('x') h = get(gca,'xlabel'); set(h,'FontSize',12) ylabel('y') h = get(gca,'ylabel'); t*sin(t), t >') 28 set(h,'FontSize',12) zlabel('z') h = get(gca,'zlabel'); set(h,'FontSize',12) grid Function plot3 is used in line 4. It takes three input parameters – arrays holding coordinates of points on the curve to be plotted. Another new command in this code is the zlabel command (see line 4 from the bottom). Its meaning is self-explanatory. graph4 Curve u(t) = < t*cos(t), t*sin(t), t > 40 20 z 0 -20 -40 40 20 0 -20 -20 -40 -40 20 0 40 y x Function mesh is intended for plotting graphs of the 3-D mesh surfaces. Before we begin to work with this function, another function meshgrid should be introduced. This function generates two two-dimensional arrays for 3-D plots. Suppose that one wants to plot a mesh surface over the grid that is defined as the Cartesian product of two sets x = [0 1 2]; y = [10 12 14]; The meshgrid command applied to the arrays x and y creates two matrices [xi, yi] = meshgrid(x,y) 29 xi = 0 0 0 yi = 10 12 14 10 12 14 10 12 14 1 1 1 2 2 2 Note that the matrix xi contains replicated rows of the array x while yi contains replicated columns of y. The z-values of a function to be plotted are computed from arrays xi and yi. In this example we will plot the hyperbolic paraboloid z = y2 – x2 over the square –1  x  1, -1  y  1 x = -1:0.05:1; y = x; [xi, yi] = meshgrid(x,y); zi = yi.^2 – xi.^2; mesh(xi, yi, zi) axis off To plot the graph of the mesh surface together with the contour plot beneath the plotted surface use function meshc meshc(xi, yi, zi) axis off 30 Function surf is used to visualize data as a shaded surface. Computer code in the m-file graph5 should help you to learn some finer points of the 3-D graphics in MATLAB % Script file graph5. % Surface plot of the hyperbolic paraboloid z = y^2 - x^2 % and its level curves. x = -1:.05:1; y = x; [xi,yi] = meshgrid(x,y); zi = yi.^2 - xi.^2; surfc(xi,yi,zi) colormap copper shading interp view([25,15,20]) grid off title('Hyperbolic paraboloid z = y^2 – x^2') h = get(gca,'Title'); set(h,'FontSize',12) xlabel('x') h = get(gca,'xlabel'); set(h,'FontSize',12) ylabel('y') h = get(gca,'ylabel'); set(h,'FontSize',12) zlabel('z') h = get(gca,'zlabel'); set(h,'FontSize',12) pause(5) figure contourf(zi), hold on, shading flat [c,h] = contour(zi,'k-'); clabel(c,h) title('The level curves of z = y^2 - x^2.') h = get(gca,'Title'); set(h,'FontSize',12) 31 xlabel('x') h = get(gca,'xlabel'); set(h,'FontSize',12) ylabel('y') h = get(gca,'ylabel'); set(h,'FontSize',12) graph5 A second graph is shown on the next page. 32 The level curves of z = y2 - x2. 40 35 30 25 .4 -0 0.4 0.8 0.6 0.8 0.6 0 .2 -0 0.4 0.2 0 -0.4 -0.2 0 20 -0.8 -0.4 y -0.2 -0.6 15 10 5 0 0 0.2 -0.6 -0.8 6 -0. 2 -0. 0 5 0.6 0.8 10 15 0.2 0.4 -0 .4 0.4 0.6 0.2 0 0.4 0.8 20 25 30 35 x There are several new commands used in this file. On line 5 (again, I do not count the blank lines and the comment lines) a command surfc is used. It plots a surface together with the level lines beneath. Unlike the command surfc the command surf plots a surface only without the level curves. Command colormap is used in line 6 to paint the surface using a user-supplied colors. If the command colormap is not added, MATLAB uses default colors. Here is a list of color maps that are available in MATLAB hsv - hue-saturation-value color map hot - black-red-yellow-white color map gray - linear gray-scale color map bone - gray-scale with tinge of blue color map copper - linear copper-tone color map pink - pastel shades of pink color map white - all white color map flag - alternating red, white, blue, and black color map lines - color map with the line colors colorcube - enhanced color-cube color map vga - windows colormap for 16 colors jet - variant of HSV prism - prism color map cool - shades of cyan and magenta color map autumn - shades of red and yellow color map spring - shades of magenta and yellow color map winter - shades of blue and green color map summer - shades of green and yellow color map Command shading (see line 7) controls the color shading used to paint the surface. Command in question takes one argument. The following -0 .4 0.2 0.4 0.2 0 2 -0. -0.6 .2 -0 .4 -0 40 33 shading flat sets the shading of the current graph to flat shading interp sets the shading to interpolated shading faceted sets the shading to faceted, which is the default. are the shading options that are available in MATLAB. Command view (see line 8) is the 3-D graph viewpoint specification. It takes a three-dimensional vector, which sets the view angle in Cartesian coordinates. We will now focus attention on commands on lines 23 through 25. Command figure prompts MATLAB to create a new Figure Window in which the level lines will be plotted. In order to enhance the graph, we use command contourf instead of contour. The former plots filled contour lines while the latter doesn't. On the same line we use command hold on to hold the current plot and all axis properties so that subsequent graphing commands add to the existing graph. First command on line 25 returns matrix c and graphics handle h that are used as the input parameters for the function clabel, which adds height labels to the current contour plot. Due to the space limitation we cannot address here other issues that are of interest for programmers dealing with the 3-D graphics in MATLAB. To learn more on this subject the interested reader is referred to [1-3] and .    In addition to static graphs discussed so far one can put a sequence of graphs in motion. In other words, you can make a movie using MATLAB graphics tools. To learn how to create a movie, let us analyze the m-file firstmovie % Script file firstmovie. % Graphs of y = sin(kx) over the interval [0, pi], % where k = 1, 2, 3, 4, 5. m = moviein(5); x = 0:pi/100:pi; for i=1:5 h1_line = plot(x,sin(i*x)); set(h1_line,'LineWidth',1.5,'Color','m') grid title('Sine functions sin(kx), k = 1, 2, 3, 4, 5') h = get(gca,'Title'); set(h,'FontSize',12) xlabel('x') k = num2str(i); if i > 1 s = strcat('sin(',k,'x)'); else s = 'sin(x)'; end ylabel(s) h = get(gca,'ylabel'); set(h,'FontSize',12) m(:,i) = getframe; pause(2) 34 end movie(m) I suggest that you will play this movie first. To this aim type firstmovie in the Command Window and press the Enter or Return key. You should notice that five frames are displayed and at the end of the "show" frames are played again at a different speed. There are very few new commands one has to learn in order to animate graphics in MATLAB. We will use the m-file firstmovie as a starting point to our discussion. Command moviein, on line 1, with an integral parameter, tells MATLAB that a movie consisting of five frames is created in the body of this file. Consecutive frames are generated inside the loop for. Almost all of the commands used there should be familiar to you. The only new one inside the loop is getframe command. Each frame of the movie is stored in the column of the matrix m. With this remark a role of this command should be clear. The last command in this file is movie(m). This tells MATLAB to play the movie just created and saved in columns of the matrix m. Warning. File firstmovie cannot be used with the Student Edition of MATLAB, version 4.2. This is due to the matrix size limitation in this edition of MATLAB. Future release of the Student Edition of MATLAB, version 5.3 will allow large size matrices. According to MathWorks, Inc., the makers of MATLAB, this product will be released in September 1999.           MATLAB has some functions for generating special surfaces. We will be concerned mostly with two functions- sphere and cylinder. The command sphere(n) generates a unit sphere with center at the origin using (n+1)2 points. If function sphere is called without the input parameter, MATLAB uses the default value n = 20. You can translate the center of the sphere easily. In the following example we will plot graph of the unit sphere with center at (2, -1, 1) [x,y,z] = sphere(30); surf(x+2, y-1, z+1) Function sphere together with function surf or mesh can be used to plot graphs of spheres of arbitrary radii. Also, they can be used to plot graphs of ellipsoids. See Problems 25 and 26. 35 Function cylinder is used for plotting a surface of revolution. It takes two (optional) input parameters. In the following command cylinder(r, n) parameter r stands for the vector that defines the radius of cylinder along the z-axis and n specifies a number of points used to define circumference of the cylinder. Default values of these parameters are r = [1 1] and n = 20. A generated cylinder has a unit height. The following command cylinder([1 0]) title('Unit cone') Unit cone 1 0.8 0.6 0.4 0.2 0 1 0.5 0 -0.5 -1 -1 -0.5 0.5 0 1 plots a cone with the base radius equal to one and the unit height. In this example we will plot a graph of the surface of revolution obtained by rotating the curve r(t) = < sin(t), t >, 0  t   about the y-axis. Graphs of the generating curve and the surface of revolution are created using a few lines of the computer code t = 0:pi/100:pi; r = sin(t); plot(r,t) 36 3.5 3 2.5 2 1.5 1 0.5 0 0 0.2 0.4 0.6 0.8 1 cylinder(r,15) shading interp ! " # $% 


In this section we deal with printing MATLAB graphics. To send a current graph to the printer click on File and next select Print from the pull down menu. Once this menu is open you may

37

wish to preview a graph to be printed be selecting the option PrintPreview… first. You can also send your graph to the printer using the print command as shown below x = 0:0.01:1; plot(x, x.^2) print You can print your graphics to an m- file using built-in device drivers. A fairly incomplete list of these drivers is included here: -depsc Level 1 color Encapsulated PostScript -deps2 Level 2 black and white Encapsulated PostScript -depsc2 Level 2 color Encapsulated PostScript For a complete list of available device drivers see , Chapter 7, pp. 8-9. Suppose that one wants to print a current graph to the m-file Figure1 using level 2 color Encapsulated PostScript. This can be accomplished by executing the following command print –depsc2 Figure1 You can put this command either inside your m-file or execute it from within the Command Window.

38

"
 D. Hanselman and B. Littlefield, Mastering MATLAB 5. A Comprehensive Tutorial and Reference, Prentice Hall, Upper Saddle River, NJ, 1998.  P. Marchand, Graphics and GUIs with MATLAB, Second edition, CRC Press, Boca Raton, 1999.  K. Sigmon, MATLAB Primer, Fifth edition, CRC Press, Boca Raton, 1998.  Using MATLAB, Version 5, The MathWorks, Inc., 1996.  Using MATLAB Graphics, Version 5, The MathWorks, Inc., 1996.

39

-
In Problems 1- 4 you cannot use loops for or while. 1. Write MATLAB function sigma = ascsum(x) that takes a one-dimensional array x of real numbers and computes their sum sigma in the ascending order of magnitudes. Hint: You may wish to use MATLAB functions sort, sum, and abs. 2. In this exercise you are to write MATLAB function d = dsc(c) that takes a one-dimensional array of numbers c and returns an array d consisting of all numbers in the array c with all neighboring duplicated numbers being removed. For instance, if c = [1 2 2 2 3 1], then d = [1 2 3 1]. 3. Write MATLAB function p = fact(n) that takes a nonnegative integer n and returns value of the factorial function n! = 1*2* … *n. Add an error message to your code that will be executed when the input parameter is a negative number. 4. Write MATLAB function [in, fr] = infr(x) that takes an array x of real numbers and returns arrays in and fr holding the integral and fractional parts, respectively, of all numbers in the array x. 5. Given an array b and a positive integer m create an array d whose entries are those in the array b each replicated m-times. Write MATLAB function d = repel(b, m) that generates array d as described in this problem. 6. In this exercise you are to write MATLAB function d = rep(b, m) that has more functionality than the function repel of Problem 5. It takes an array of numbers b and the array m of positive integers and returns an array d whose each entry is taken from the array b and is duplicated according to the corresponding value in the array m. For instance, if b = [ 1 2] and m = [2 3], then d = [1 1 2 2 2]. 7. A checkerboard matrix is a square block diagonal matrix, i.e., the only nonzero entries are in the square blocks along the main diagonal. In this exercise you are to write MATLAB function A = mysparse(n) that takes an odd number n and returns a checkerboard matrix as shown below
A = mysparse(3) A = 1 0 0 0 1 3 0 2 4

A = mysparse(5)

40

A = 1 0 0 0 0 0 1 3 0 0 0 2 4 0 0 0 0 0 2 4 0 0 0 3 5

A = mysparse(7)

A = 1 0 0 0 0 0 0 0 1 3 0 0 0 0 0 2 4 0 0 0 0 0 0 0 2 4 0 0 0 0 0 3 5 0 0 0 0 0 0 0 3 5 0 0 0 0 0 4 6

First block in the upper-left corner is the 1-by-1 matrix while the remaining blocks are all 2-by-2. 8. The Legendre polynomials Pn(x), n = 0, 1, … are defined recursively as follows nPn(x) = (2n-1)xPn -1 – (n-1)Pn-2(x), n = 2, 3, … , P0(x) = 1, P1(x) = x. Write MATLAB function P = LegendP(n) that takes an integer n – the degree of Pn(x) and returns its coefficient stored in the descending order of powers. 9. In this exercise you are to implement Euclid's Algorithm for computing the greatest common divisor (gcd) of two integer numbers a and b: gcd(a, 0) = a, gcd(a, b) = gcd(b, rem(a, b)). Here rem(a, b) stands for the remainder in dividing a by b. MATLAB has function rem. Write MATLAB function gcd = mygcd(a,b) that implements Euclid's Algorithm. 10. The Pascale triangle holds coefficients in the series exapansion of (1 + x)n, where n = 0, 1, 2, … . The top of this triangle, for n = 0, 1, 2, is shown here 1 1 1 2 1 Write MATLAB function t = pasctri(n) that generates the Pascal triangle t up to the level n. Remark. Two-dimensional arrays in MATLAB must have the same number of columns in each row. In order to aviod error messages you have to add a certain number of zero entries to the right of last nonzero entry in each row of t but one. This
t = pasctri(2)

1

41

t = 1 1 1 0 1 2 0 0 1

is an example of the array t for n = 2. 11. This is a continuation of Problem 10. Write MATLAB function t = binexp(n) that computes an array t with row k+1 holding coefficients in the series expansion of (1-x)^k, k = 0, 1, ... , n, in the ascending order of powers. You may wish to make a call from within your function to the function pasctri of Problem 10. Your output sholud look like this (case n = 3)
t = binexp(3) t = 1 1 1 1 0 -1 -2 -3 0 0 1 3 0 0 0 -1

12. MATLAB come with the built-in function mean for computing the unweighted arithmetic mean of real numbers. Let x = {x1, x2, … , xn} be an array of n real numbers. Then

1 n mean ( x )   x n n k 1
In some problems that arise in mathematical statistics one has to compute the weighted arithmetic mean of numbers in the array x. The latter, abbreviated here as wam, is defined as follows

wam( x, w) 

w 
k 1 n k 1

n

k

xk
k

w 

Here w = {w1, w2, … , wn} is the array of weights associated with variables x. The weights are all nonnegative with w1 + w2 + … + wn > 0. In this exercise you are to write MATLAB function y = wam(x, w) that takes the arrays of variables and weights and returns the weighted arithmetic mean as defined above. Add three error messages to terminate prematurely execution of this file in the case when:

 arrays x and w are of different lengths  at least one number in the array w is negative  sum of all weights is equal to zero.

42

13. Let w = {w1, w2, … , wn} be an array of positive numbers. The weighted geometric mean, abbreviated as wgm, of the nonnegative variables x = {x1, x2, … , xn} is defined as follows

wgm( x, w)  x1 1 x 2 2 ... x n
w w

wn

Here we assume that the weights w sum up to one. Write MATLAB function y = wgm(x, w) that takes arrays x and w and returns the weighted geometric mean y of x with weights stored in the array w. Add three error messages to terminate prematurely execution of this file in the case when:

 arrays x and w are of different lengths  at least one variable in the array x is negative  at least one weight in the array w is less than or equal to zero
Also, normalize the weights w, if necessary, so that they will sum up to one. 14. Write MATLAB function [nonz, mns] = matstat(A) that takes as the input argument a real matrix A and returns all nonzero entries of A in the column vector nonz. Second output parameter mns holds values of the unweighted arithmetic means of all columns of A. 15. Solving triangles requires a bit of knowledge of trigonometry. In this exercise you are to write MATLAB function [a, B, C] = sas(b, A, c) that is intended for solving triangles given two sides b and c and the angle A between these sides. Your function should determine remaining two angels and the third side of the triangle to be solved. All angles should be expressed in the degree measure. 16. Write MATLAB function [A, B, C] = sss(a, b, c) that takes three positive numbers a, b, and c. If they are sides of a triangle, then your function should return its angles A, B, and C, in the degree measure, otherwise an error message should be displayed to the screen. 17. In this exercise you are to write MATLAB function dms(x) that takes a nonnegative number x that represents an angle in the degree measure and converts it to the form x deg. y min. z sec.. Display a result to the screen using commands disp and sprintf. Example:
dms(10.2345) Angle = 10 deg. 14 min. 4 sec.

18. Complete elliptic integral of the first kind in the Legendre form K(k2), 0 < k2 < 1,

K (k 2 ) 

 /2


0

dt 1  k 2 sin 2 (t )

cannot be evaluated in terms of the elementary functions. The following algorithm, due to C. F. Gauss, generates a sequence of the arithmetic means {an} and a sequence of the geometric means {bn}, where

43

a0 = 1, b0 = an = (an-1 + bn-1)/2, bn =

1 k 2
n = 1, 2, … .

a n 1 b n 1

It is known that both sequences have a common limit g and that an  bn, for all n. Moreover, K(k2) =

 2g

Write MATLAB function K = compK(k2) which implements this algorithm. The input parameter k2 stands for k2. Use the loop while to generate consecutive members of both sequences, but do not save all numbers generated in the course of computations. Continue execution of the while loop as long as an – bn  eps, where eps is the machine epsilon
eps ans = 2.2204e-016

Add more functionality to your code by allowing the input parameter k2 to be an array. Test your m-file and compare your results with those included here
format long compK([.1 .2 .3 .7 .8 .9]) ans = 1.61244134872022 1.65962359861053 1.71388944817879 2.07536313529247 2.25720532682085 2.57809211334794

format short

19. In this exercise you are to model one of the games in the Illinois State Lottery. Three numbers, with duplicates allowed, are selected randomly from the set {0,1,2,3,4,5,6,7,8,9} in the game Pick3 and four numbers are selected in the Pick4 game. Write MATLAB function winnumbs = lotto(n) that takes an integer n as its input parameter and returns an array winnumbs consisting of n numbers from the set of integers described in this problem. Use MATLAB function rand together with other functions to generate a set of winning numbers. Add an error message that is displayed to the screen when the input parameter is out of range.

44

plotChT(5)

Chebyshev polynomial T5(x) and its first order derivative
25 polynomial derivative 20

15

10 y 5 0 -5 -10 -1

-0.5

0 x

0.5

1

45

cone(1, 2)

Two-sided cone with the radii of the bases equal to1 and2

0.5

z

0

-0.5 2 1 0 -1 y -2 -2 -1 x 1 0 2

28. The space curve r(t) = < cos(t)sin(4t), sin(t)sin(4t), cos(4t) >, 0  t  2, lies on the surface of the unit sphere x2 + y2 + z2 = 1. Write MATLAB script file curvsph that plots both the curve and the sphere in the same window. Add a meaningful title to your graph. Use MATLAB functions colormap and shading with arguments of your choice. Add the view([150 125 50]) command. 29. This problem requires that the professional version 5.x of MATLAB is installed. In this exercise you are to write the m-file secondmovie that crates five frames of the surface z = sin(kx)cos(ky), where 0  x, y   and k = 1, 2, 3, 4, 5. Make a movie consisting of the

46

frames you generated in your file. Use MATLAB functions colormap and shading with arguments of your choice. Add a title, which might look like this Graphs of z = sin(kx)*cos(ky), 0 <= x, y <= , k =1, 2, 3, 4, 5. Greek letters can be printed in the title of a graph using TeX convention, i.e., the following \pi is used to print the Greek letter . Similarly, the string \alpha will be printed as . 