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1
MATLAB Basics The Reference
Durga Lal Shretha
Yunqing Xuan
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Part-1
2
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Entering Matrices
Enter an explicit list of elements
A = [10 20 30; 1 2 3; 2 4 8];
Load matrices from external data files
A = load('mymagic.txt'); % you need to create the file before
hand
Generate matrices using built-in functions.
A = magic(4)
Create matrices with your own functions in M-files.
A = myfunction(input1,input2) %
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Enter an explicit list of elements
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,[ ].
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Subscripts
Using parenthesis (row,column)
e.g. the element in row I and column j of A = A(i,j)
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The colon operator :
To generator vector
Unit steps startvalue:endvalue
Nonunit steps with the given increment
startvalue:stepvalue:endvalue
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The colon operator : To select subarrays (portion ofmatrix)
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Selecting subarrays: Common errors
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Generating Matrices
Zeros
Ones
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Generating Matrices
rand - uniform random number between 0 and 1
randn normal random number(0,1)
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Concatenation
Concatenation is the process of joining small matrices to
make bigger ones. Using []
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Deleting Rows and Columns
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Reordering data
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Changing data
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Arrays
Scalars: zero dimensional or 1 by 1
S = 2.3
Vector: one dimensional (i.e. n by 1 or 1 by n)
V = [1 4 3 5 6]
Matrix: two dimensional (i.e. m by n)
M = [1 2 3
4 5 6]
Array: N dimensional
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Multidimensional Array
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size, length, ndims
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Matrix Algebra
Addition
Subtraction
Matrix multiplication
Array multiplication
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Addition
+
A and B must have the same size, unless one of them isa scalar
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Subtraction
-
A and B must have the same size, unless one of them isa scalar
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Matrix Multiplication
*
For nonscalar A and B, the number of columns of A must
equal the number of rows of B. A scalar can multiply a matrix of any size.
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Array Multiplication
.*
element-by-element product of the arrays A and B
A and B must have the same size, unless one of them isa scalar
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Part 2
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Expressions
Variables
Numbers
Operators
Functions
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Numbers
MATLAB uses conventional decimal notation, with anoptional decimal point and leading plus or minus sign, fornumbers.
Scientific notation uses the letter e to specify a power-of-ten scale factor.
Imaginary numbers use either i or j as a suffix.
Some examples of legal numbers are
3 -99 0.0001
9.6397238 1.60210e-20 6.02252e23
1i -3.14159j 3e5i
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Functions
MATLAB provides a large number of standard elementary
mathematical functions, including abs, sqrt, exp, and sin. For a list of the mathematical functions, type
help elfun for Elementary functions (Trigonometric, Exponential,Complex, and Rounding and remainder)
help specfun for Specialized math functions (e.g. gamma, factor
etc) help elmat for Elementary matrices and matrix manipulation (e.g.
zeros, size, reshape, magic etc.)
Built-in functions are part of the MATLAB core so they
are very efficient, but the computational details are notreadily accessible (e.g sin, sqrt etc).
Other functions, like gamma and sinh, are implementedin M-files and you can see the code and even modify it ifyou want.
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Data Types
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Numeric Types
Numeric data types in MATLAB include signed andunsigned integers, and single- and double-precisionfloating-point numbers.
Integers
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Floating-Point Numbers
Double-Precision Floating Point
MATLAB default data type
64 bits, large memory and more precision
Single-Precision Floating Point
32 bits, less memory and less precision
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Complex Numbers
>> x = 2 + 3i
x =
2.0000+3.0000i
>> z = complex(2.1, pi)
z =2.1000 + 3.1416i
>> zr = real(z)
zr =
2.1000
>> zi = imag(z)
zi =
3.1416
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Infinity and NaN
Infinity
x = log(0);
>> isinf(x)
ans =
1
NaN (Not a Number)
MATLAB represents values that are not real or complex numberswith a special value called NaN
0/0 and inf/inf
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Display Format for Numeric Values
By default, MATLAB displays numeric output as 5-digitscaled, fixed-point values.
You can change the way numeric values are displayed toany of the following:
5-digit scaled fixed point, floating point, or the best of the two
15-digit scaled fixed point, floating point, or the best of the two
A ratio of small integers
Hexadecimal (base 16)
Bank notation
Format short (formatting to 5 digit) Check the current format setting:
get(0, 'format')
ans =
short
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Format
x = [4/3 1.2345e-6]
x =
1.3333 0.0000
format short e
xx =
1.3333e+000 1.2345e-006
format long
xx =
1.33333333333333 0.00000123450000
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Logical Types
The logical data type represents a logical true or falsestate using the numbers 1 and 0, respectively.
(5 * 10) > 40
ans =
1
Vector of logical [30 40 50 60 70] > 40
ans =
0 0 1 1 1
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Logical Types
Using Logicals in Conditional Statements
str = 'Hello';
if ~isempty(str) && ischar(str)
sprintf('Input string is ''%s''', str)
end
ans =
Input string is 'Hello'
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Logical Indexing
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Part 3
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Characters and Strings
Padding.
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Structure Array
Structures are MATLAB arrays with named data
containers called fields.
The fields of a structure can contain any kind of data.
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Structure Array
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Structure Array
strArray = struct('field1',val1,'field2',val2, ...)
ll
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Cell Arrays
A cell array provides a storage mechanism for dissimilar
kinds of data.
C ll
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Cell Arrays
Use { } for constructing, concatenating and indexing
A = {[1 4 3; 0 5 8; 7 2 9], 'Anne Smith'; 3+7i, -pi:pi/4:pi}
A =
[3x3 double] 'Anne Smith'[3.0000 + 7.0000i] [1x9 double]
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Part 4
Data Import and Export
D t
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Supported Types of Data
Binary data from a MATLAB session
Text data
Graphics files
Audio and audio/video data
spreadsheets Data from the system clipboard
Information from the internet
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Load command
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Load command
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Part 5
MATLAB Graphics
Matlab Graphics
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Matlab Graphics
Plotting Process
Graph Components
Figure Tools
Arranging Graphs Within a Figure
Selecting Plot Types
Plotting Process
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Plotting Process
Use plotting tools to create graphs interactively.
plottools
Use the command interface to enter commands in theCWD or create plotting programs.
x = 0:0.1:2*pi;
plot(x,sin(x)
Graph Components
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Graph Components
Figure
Plot
Axis
Data
Figure Tools: Figure Palette Plot Browser and Property Editor
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Figure Tools: Figure Palette, Plot Browser and Property Editor
Arranging Graphs Within a Figure
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Arranging Graphs Within a Figure
Selecting Plot Types
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Selecting Plot Types
Basic Plotting Functions
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Basic Plotting Functions
Plotting Steps
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Plotting Steps
Plotting Multiple Data Sets in One Graph
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Plotting Multiple Data Sets in One Graph
plot(x,y)
hold on
plot(x,sin(x-0.5),'r')
plot(x,sin(x-0.25),'g')
OR
Line Styles and Colors
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Line Styles and Colors
plot(x,y,'--rs','LineWidth',2,...'MarkerEdgeColor','k',...'MarkerFaceColor','g',...
'MarkerSize',10)
Contour plots
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Contour plots
Twenty contours of the peaks function
-3 -2 -1 0 1 2 3-3
-2
-1
0
1
2
3
Contour
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Contour
Contour3
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Contour3
-3-2
-10
12
3
-2
0
2
-10
-5
0
5
10
Twenty Contours of the peaks Function
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Plotting Matrix Data
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Plotting Matrix Data
Plotting Image Data
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Plotting Image Data
100 200 300 400 500
100
200
300
400
500
600
Surface plot
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Surface plot
-10
-5
0
5
10
-10
-5
0
5
10-0.5
0
0.5
1
Surface plot
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Surface plot
Creating Stream Particle Animations
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Creating Stream Particle Animations
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Part 6
Program components
Basic Program Components
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Basic Program Components
Variables
Keywords
Special Values
Operators
MATLAB Expressions Program Control Statements
Symbol Reference
MATLAB Functions
Variables
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Variables
A MATLAB variable is essentially a tag that you assign to
a value while that value remains in memory. Local Variables (local to functions)
Global Variables (share a single copy of a variable)
Persistent Variables (retained value from one function call to the
next)
Naming Variables
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a g a ab es
Any combination of characters, numbers and underscore
(starting with characters) Case sensitive
e.g. Variable1, variable1 are different
MATLAB uses only the first N characters of the name and
ignores the rest, where N = namelengthmax(63)
The genvarnamefunction can be useful in creatingvariable names that are both valid and unique.
E.g. four similar variable name strings that do not conflict witheach other: v = genvarname({'A', 'A', 'A', 'A'})
v = 'A' 'A1' 'A2' 'A3'
Keywords
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y
MATLAB reserves certain words for its own use as
keywords of the language. To list the keywords, type iskeyword
'break 'case'
'catch 'continue'
'else 'elseif' 'end 'for'
'function 'global'
'if 'otherwise'
'persistent 'return' 'switch 'try'
'while'
Special Values
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p
Operators
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p
Arithmetic Operators
Relational Operators
Logical Operators
Arithmetic Operators
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p
Relational Operators
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p
Logical Operators
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g p
Operator Precedence
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p
Parentheses ()
Transpose (.'), power (.^), complex conjugate transpose (), matrixpower (^)
Unary plus (+), unary minus (-), logical negation (~)
Multiplication (.*), right division (./), left division (.\), matrixmultiplication (*), matrix right division (/), matrix left division (\)
Addition (+), subtraction (-)
Colon operator (:)
Less than (=), equal to (==), not equal to (~=)
Element-wise AND (&) Element-wise OR (|)
Short-circuit AND (&&)
Short-circuit OR (||)
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Program Control Statements
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Program control is divided into four categories:
Conditional Control if, switch
Loop Control for, while, continue, break
Error Control try, catch
Program Termination return
Conditional Control if
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if logical_expression
statementsend
if logical_expression1
statements1
elseif logical_expression2
statements2
else
statements3
end
Conditional Control switch, case, and otherwise
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Loop Control for
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The for loop executes a statement or group of
statements a predetermined number of times.
for index = start:increment:end
statements
end
Loop Control while
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The while loop executes a statement or group of
statements repeatedly as long as the controllingexpression is true.
Loop Control continue
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The continue statement passes control to the next
iteration of the for or while loop in which it appears,skipping any remaining statements in the body of theloop.
Loop Control break
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The break statement terminates the execution of a for
loop or while loop.
Error Control- try and catch
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Error control statements provide a way for you to take
certain actions in the event of an error.
Program Termination return
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Program termination control enables you to exit from
your program at some point prior to its normaltermination point.
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Part 7
Symbol Reference
Symbol Reference
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At @ for fhandle = @myfun
Colon :
Comma ,
Curly Braces { }
Dot .
Dot-Dot-Dot (Ellipsis) ... on page 3-103
Exclamation Point ! for Shell Escape (e.g. !dir) Parentheses ( ) for array indexing and function input arguments
Percent % and Percent-Brace %{ %}
Semicolon ;
Single Quotes for character and string
Space Character
Square Brackets [ ]
Colon :
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Numeric Sequence Range and Step
Indexing Range Specifier
Conversion to Column Vector
Preserving Array Shape on Assignment
Comma ,
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Row Element Separator
Array Index Separator
Function Input and Output Separator
Command or Statement Separator
Curly Braces { }
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Cell Array Constructor
Cell Array Indexing
Dot .
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Structure Field Definition
Object Method Specifier
Dot-Dot-Dot (Ellipsis) ...
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Line Continuation
Entering Long Strings
You cannot use an ellipsis within single quotes to continue a
string to the next line:
Percent % and Percent-Brace %{ %}
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Single Line Comments
Conversion Specifiers
Block Comments
Semicolon ;
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Array Row Separator
Output Suppression
Command or Statement Separator
Space Character
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Row Element Separator
Function Output Separator
Square Brackets [ ]
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Array Constructor
Concatenation
Function Declarations and Calls
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Part 8
M-File Programming
Scripts and Functions
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There are two kinds of M-files.
Scripts, which do not accept input arguments or returnarguments. They operates on data in the workspace
Functions are M-files that can accept input arguments
and return output arguments. Functions operate on variables within their own workspace,
separate from the base workspace.
The names of the M-file and of the function should be the same.
Scripts: small exercise
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Create a file called magicrank.m
Functions
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Create a file called fmagicrank.m
help fmagicrank
type mr = fmagicrank(10);
Basic Parts of an M-File
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Creating a Simple M-File
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1. Create an M-file using a text
editor.function c = myfunc(a,b)
c = sqrt((a.^2)+b.^2))
x = 7.5;
y = 3.342;
z = mufunc(x,y)
z =
8.2109
2. Call the M-file from the
command line or from within
another M-file
Types of Functions
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Primary M-File Functions - the first function in an M-file andtypically contains the main program.
Subfunctions - subroutines to the main function or to definemultiple functions within a single M-file.
Nested Functions - functions defined within another
function. They can help to improve the readability of the programand to give more flexible access to variables in the M-file.
Anonymous Functions - provide a quick way of making a
function from any MATLAB expression. We can compose anonymousfunctions either from within another function or at the MATLABcommand prompt.
Overloaded Functions - useful when you need to create a
function that responds to different types of inputs accordingly.
Private Functions - a way to restrict access to a
function. You can call them only from an M-file function in theparent directory.
Constructing an Anonymous Function
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Subfunctions
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Exercise Function
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function [Y] = filterdata(data,thres)
[NRow,NCol]=size(data);j=1;
Y=[];
for i=1:NRow
if data(i)>=thres
Y(j)=data(i);
j=j+1;
end;end;
Function Handles
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A function handle is a MATLAB value that provides a
means of calling a function indirectly Construct a function handle in MATLAB using the at sign,
@, before the function name.
fhandle = @sin;
You can call a function by means of its handle in thesame way that you would call the function using itsname.
The syntax is fhandle(arg1, arg2, ...);
fhandle(0.50)
Function Functions
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One function works on another functions
Zero finding Optimization
Quadrature
Ordinary differential equations
Humps function
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hold on; plot(p,humps(p),'r*');
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Q = quadl(@humps,0,1)
Q =29.8583
Z = fzero(@humps,0.5)
Z =-0.1315
Z = fzero(@humps,1)
Z =1.2955
f = humps(Z)
f =0
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Part 9: GUIDE
Simple Graphical User Interface
GUIDE
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GUIDE, the MATLAB graphical user interfacedevelopment environment, provides a set of tools for
creating graphical user interfaces (GUIs).
Simple gui example
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Simple gui example
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Simple gui example
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Simple gui example
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