SlideShare a Scribd company logo
Introduction to Matlab




                 By: İ.Yücel
    Özbek
Outline:
   What is Matlab?
   Matlab Screen
   Variables, array, matrix, indexing
   Operators (Arithmetic, relational, logical )
   Display Facilities
   Flow Control
   Using of M-File
   Writing User Defined Functions
   Conclusion
What is Matlab?
   Matlab is basically a high level language
    which has many specialized toolboxes for
    making things easier for us
   How high?
                      Matlab

                       High Level
                   Languages such as
                     C, Pascal etc.




                    Assembly
What are we interested in?
     Matlab is too broad for our purposes in this
      course.
     The features we are going to require is
                                 Matlab
  Series of
   Matlab
 commands
                                  Command
                   m-files                        mat-files
                                    Line


                  functions   Command execution          Data
       Input                  like DOS command         storage/
      Output                        window             loading
     capability
Matlab Screen
   Command Window
     type commands

   Current Directory
      View folders and m-files

   Workspace
      View program variables
      Double click on a variable
      to see it in the Array Editor

   Command History
     view past commands
     save a whole session
      using diary
Variables
   No need for types. i.e.,

         int a;
         double b;
         float c;

   All variables are created with double precision unless
    specified and they are matrices.
         Example:
         >>x=5;
         >>x1=2;

   After these statements, the variables are 1x1 matrices
    with double precision
Array, Matrix
   a vector           x = [1 2 5 1]

    x =
          1    2       5    1

   a matrix           x = [1 2 3; 5 1 4; 3 2 -1]

    x =
          1        2        3
          5        1        4
          3        2       -1

   transpose          y = x’             y =
                                                1
                                                2
                                                5
                                                1
Long Array, Matrix
         t =1:10

    t =
          1   2   3   4        5    6    7    8    9   10
         k =2:-0.5:-1

    k =
          2   1.5    1   0.5    0      -0.5   -1

         B   = [1:4; 5:8]

    x =
          1      2        3        4
          5      6        7        8
Generating Vectors from functions
   zeros(M,N) MxN matrix of zeros        x = zeros(1,3)
                                          x =
                                            0     0      0
   ones(M,N)   MxN matrix of ones
                                          x = ones(1,3)
                                          x =
                                            1     1     1
   rand(M,N)   MxN matrix of uniformly
                distributed random        x = rand(1,3)
                numbers on (0,1)          x =
                                           0.9501 0.2311 0.6068
Matrix Index
     The matrix indices begin from 1 (not 0 (as in C))
     The matrix indices must be positive integer
Given:




     A(-2), A(0)

     Error: ??? Subscript indices must either be real positive integers or logicals.

     A(4,2)
     Error: ??? Index exceeds matrix dimensions.
Concatenation of Matrices
     x = [1 2], y = [4 5], z=[ 0 0]

      A = [ x y]

           1     2   4    5

      B = [x ; y]

               1 2
               4 5

      C = [x y ;z]
Error:
??? Error using ==> vertcat CAT arguments dimensions are not consistent.
Operators (arithmetic)
 +   addition
 -   subtraction
 *   multiplication
 /   division
 ^   power
 ‘   complex conjugate transpose
Matrices Operations


  Given A and B:



 Addition   Subtraction   Product   Transpose
Operators (Element by Element)


 .* element-by-element multiplication
 ./ element-by-element division
 .^ element-by-element power
The use of “.” – “Element” Operation
A = [1 2 3; 5 1 4; 3 2 1]
   A=
         1 2 3
         5 1 4
         3 2 -1

                                    b = x .* y    c=x./y           d = x .^2
x = A(1,:)    y = A(3 ,:)
                                    b=            c=               d=
x=            y=                         3 8 -3     0.33 0.5 -3         1   4   9
     1 2 3         3 4 -1

      K= x^2
      Erorr:
       ??? Error using ==> mpower Matrix must be square.
      B=x*y
      Erorr:
      ??? Error using ==> mtimes Inner matrix dimensions must agree.
Basic Task: Plot the function sin(x)
between 0≤x≤4π
    Create an x-array of 100 samples between 0
     and 4π.

      >>x=linspace(0,4*pi,100);

    Calculate sin(.) of the x-array1

                                  0.8

                                  0.6


      >>y=sin(x);                 0.4

                                  0.2

                                    0


    Plot the y-array             -0.2

                                  -0.4

                                  -0.6


      >>plot(y)                   -0.8

                                   -1
                                         0   10   20   30   40   50   60   70   80   90   100
Plot the function e-x/3sin(x) between
0≤x≤4π
   Create an x-array of 100 samples between 0
    and 4π.
    >>x=linspace(0,4*pi,100);

   Calculate sin(.) of the x-array
    >>y=sin(x);

   Calculate e-x/3 of the x-array
    >>y1=exp(-x/3);

   Multiply the arrays y and y1
     >>y2=y*y1;
Plot the function e-x/3sin(x) between
0≤x≤4π
   Multiply the arrays y and y1 correctly
       >>y2=y.*y1;

   Plot the y2-array
                              0.7

       >>plot(y2)             0.6

                              0.5

                              0.4

                              0.3

                              0.2

                              0.1

                               0

                             -0.1

                             -0.2

                             -0.3
                                    0   10   20   30   40   50   60   70   80   90   100
Display Facilities                 0.7

                                   0.6

                                   0.5

   plot(.)                        0.4

                                   0.3


       Example:
                                   0.2

                                   0.1

       >>x=linspace(0,4*pi,100);     0

       >>y=sin(x);                 -0.1


       >>plot(y)                   -0.2


       >>plot(x,y)
                                   -0.3
                                          0   10   20   30   40   50   60   70   80   90   100


                                   0.7

   stem(.)                        0.6

                                   0.5

                                   0.4

                                   0.3



       Example:
                                   0.2

                                   0.1

       >>stem(y)                     0

       >>stem(x,y)                 -0.1

                                   -0.2

                                   -0.3
                                          0   10   20   30   40   50   60   70   80   90   100
Display Facilities

   title(.)
        >>title(‘This is the sinus function’)
                                                                                   This is the sinus function
                                                           1

                                                         0.8

   xlabel(.)                                            0.6

                                                         0.4


        >>xlabel(‘x (secs)’)                             0.2




                                                sin(x)
                                                           0


   ylabel(.)
                                                         -0.2

                                                         -0.4

                                                         -0.6

                                                         -0.8
        >>ylabel(‘sin(x)’)                                -1
                                                                0   10   20   30       40      50    60         70   80   90   100
                                                                                            x (secs)
Operators (relational, logical)

    == Equal to
    ~= Not equal to
    < Strictly smaller
    > Strictly greater
    <= Smaller than or equal to
    >= Greater than equal to
    & And operator
    | Or operator
Flow Control

    if
    for
    while
    break
    ….
Control Structures
                           Some Dummy Examples
    If Statement Syntax
                           if ((a>3) & (b==5))
                                Some Matlab Commands;
 if (Condition_1)          end
        Matlab Commands
                           if (a<3)
 elseif (Condition_2)           Some Matlab Commands;
        Matlab Commands    elseif (b~=5)
                                Some Matlab Commands;
 elseif (Condition_3)      end
        Matlab Commands
                           if (a<3)
 else                           Some Matlab Commands;
        Matlab Commands    else
                                Some Matlab Commands;
 end                       end
Control Structures
                      Some Dummy Examples
   For loop syntax   for i=1:100
                          Some Matlab Commands;
                      end

for i=Index_Array     for j=1:3:200
                          Some Matlab Commands;
  Matlab Commands     end

end                   for m=13:-0.2:-21
                          Some Matlab Commands;
                      end

                      for k=[0.1 0.3 -13 12 7 -9.3]
                          Some Matlab Commands;
                      end
Control Structures

   While Loop Syntax

                        Dummy Example
while (condition)
  Matlab Commands       while ((a>3) & (b==5))
                           Some Matlab Commands;
end                     end
Use of M-File
Click to create
a new M-File




  • Extension “.m”
  • A text file containing script or function or program to run
Use of M-File   Save file as Denem430.m




                           If you include “;” at the
                           end of each statement,
                           result will not be shown
                           immediately
Writing User Defined Functions
    Functions are m-files which can be executed by
     specifying some inputs and supply some desired outputs.
    The code telling the Matlab that an m-file is actually a
     function is
       function out1=functionname(in1)
       function out1=functionname(in1,in2,in3)
       function [out1,out2]=functionname(in1,in2)



    You should write this command at the beginning of the
     m-file and you should save the m-file with a file name
     same as the function name
Writing User Defined Functions
    Examples
      Write a function : out=squarer (A, ind)

        Which takes the square of the input matrix if the input

          indicator is equal to 1
        And takes the element by element square of the input

          matrix if the input indicator is equal to 2

                                                   Same Name
Writing User Defined Functions
   Another function which takes an input array and returns the sum and product
    of its elements as outputs




   The function sumprod(.) can be called from command window or an m-file as
Notes:
   “%” is the neglect sign for Matlab (equaivalent
    of “//” in C). Anything after it on the same line
    is neglected by Matlab compiler.
   Sometimes slowing down the execution is
    done deliberately for observation purposes.
    You can use the command “pause” for this
    purpose
       pause %wait until any key
       pause(3) %wait 3 seconds
Useful Commands

    The two commands used most by Matlab
     users are
     >>help functionname



     >>lookfor keyword
Questions

   ?
   ?
   ?
   ?
   ?
Thank You…

More Related Content

What's hot (19)

PDF
Python_ 3 CheatSheet
Dr. Volkan OBAN
 
PPTX
Principles of functional progrmming in scala
ehsoon
 
PDF
Lec 9 05_sept [compatibility mode]
Palak Sanghani
 
PDF
Probabilistic Programming in Scala
BeScala
 
PDF
Intelligent System Optimizations
Martin Zapletal
 
PDF
Python 2.5 reference card (2009)
gekiaruj
 
PDF
numdoc
webuploader
 
PDF
Mit6 094 iap10_lec03
Tribhuwan Pant
 
PDF
Mit6 094 iap10_lec04
Tribhuwan Pant
 
PDF
Mit6 094 iap10_lec01
Tribhuwan Pant
 
PDF
Matlab plotting
pramodkumar1804
 
PDF
Mit6 094 iap10_lec02
Tribhuwan Pant
 
PPTX
Introduction to Monads in Scala (1)
stasimus
 
PPT
Chapter2
Krishna Kumar
 
PDF
Distilling Free-Form Natural Laws from Experimental Data
swissnex San Francisco
 
PDF
Scala. Introduction to FP. Monads
Kirill Kozlov
 
PPT
Chapter2
Nashra Akhter
 
PDF
Rcommands-for those who interested in R.
Dr. Volkan OBAN
 
Python_ 3 CheatSheet
Dr. Volkan OBAN
 
Principles of functional progrmming in scala
ehsoon
 
Lec 9 05_sept [compatibility mode]
Palak Sanghani
 
Probabilistic Programming in Scala
BeScala
 
Intelligent System Optimizations
Martin Zapletal
 
Python 2.5 reference card (2009)
gekiaruj
 
numdoc
webuploader
 
Mit6 094 iap10_lec03
Tribhuwan Pant
 
Mit6 094 iap10_lec04
Tribhuwan Pant
 
Mit6 094 iap10_lec01
Tribhuwan Pant
 
Matlab plotting
pramodkumar1804
 
Mit6 094 iap10_lec02
Tribhuwan Pant
 
Introduction to Monads in Scala (1)
stasimus
 
Chapter2
Krishna Kumar
 
Distilling Free-Form Natural Laws from Experimental Data
swissnex San Francisco
 
Scala. Introduction to FP. Monads
Kirill Kozlov
 
Chapter2
Nashra Akhter
 
Rcommands-for those who interested in R.
Dr. Volkan OBAN
 

Similar to Introduction to matlab (20)

PPT
Introduction to matlab
BilawalBaloch1
 
PDF
INTRODUCTION TO MATLAB session with notes
Infinity Tech Solutions
 
PPTX
Introduction to matlab
Dnyanesh Patil
 
PDF
Lec3
Amba Research
 
PDF
Matlab-free course by Mohd Esa
Mohd Esa
 
PPT
Introduction to MATLAB
Damian T. Gordon
 
PPTX
COMPANION TO MATRICES SESSION II.pptx
imman gwu
 
PPT
MATLAB-Introd.ppt
kebeAman
 
PPTX
MATLAB Workshop for project and research
Nuthal Srinivasan
 
PDF
Programming with matlab session 1
Infinity Tech Solutions
 
PPTX
lect.no.3.pptx
ahmed343312
 
PPTX
Mat lab day 1
Kassandra Kay Mislang
 
PPTX
INTRODUCTION TO MATLAB presentation.pptx
Devaraj Chilakala
 
PDF
1010n3a
Faiza Saher
 
PPT
MATLAB/SIMULINK for Engineering Applications day 2:Introduction to simulink
reddyprasad reddyvari
 
PDF
Notes and guide for matlab coding and excersie
10522009
 
PPS
Matlab
Sri Chakra Kumar
 
PPTX
Introduction to MATLAB Programming for Engineers
archanb
 
PDF
Introduction to Matlab.pdf
ssuser43b38e
 
PPTX
1. Introduction to Computing - MATLAB.pptx
tgkfkj9n2k
 
Introduction to matlab
BilawalBaloch1
 
INTRODUCTION TO MATLAB session with notes
Infinity Tech Solutions
 
Introduction to matlab
Dnyanesh Patil
 
Matlab-free course by Mohd Esa
Mohd Esa
 
Introduction to MATLAB
Damian T. Gordon
 
COMPANION TO MATRICES SESSION II.pptx
imman gwu
 
MATLAB-Introd.ppt
kebeAman
 
MATLAB Workshop for project and research
Nuthal Srinivasan
 
Programming with matlab session 1
Infinity Tech Solutions
 
lect.no.3.pptx
ahmed343312
 
Mat lab day 1
Kassandra Kay Mislang
 
INTRODUCTION TO MATLAB presentation.pptx
Devaraj Chilakala
 
1010n3a
Faiza Saher
 
MATLAB/SIMULINK for Engineering Applications day 2:Introduction to simulink
reddyprasad reddyvari
 
Notes and guide for matlab coding and excersie
10522009
 
Introduction to MATLAB Programming for Engineers
archanb
 
Introduction to Matlab.pdf
ssuser43b38e
 
1. Introduction to Computing - MATLAB.pptx
tgkfkj9n2k
 
Ad

Recently uploaded (20)

PPTX
Optimizing Cancer Screening With MCED Technologies: From Science to Practical...
i3 Health
 
PDF
ARAL-Orientation_Morning-Session_Day-11.pdf
JoelVilloso1
 
PDF
IMP NAAC-Reforms-Stakeholder-Consultation-Presentation-on-Draft-Metrics-Unive...
BHARTIWADEKAR
 
PPTX
Unit 2 COMMERCIAL BANKING, Corporate banking.pptx
AnubalaSuresh1
 
PPTX
How to Manage Promotions in Odoo 18 Sales
Celine George
 
PPTX
Views on Education of Indian Thinkers Mahatma Gandhi.pptx
ShrutiMahanta1
 
PPTX
ASRB NET 2023 PREVIOUS YEAR QUESTION PAPER GENETICS AND PLANT BREEDING BY SAT...
Krashi Coaching
 
PPTX
Optimizing Cancer Screening With MCED Technologies: From Science to Practical...
i3 Health
 
PPTX
Accounting Skills Paper-I, Preparation of Vouchers
Dr. Sushil Bansode
 
PPTX
Nutri-QUIZ-Bee-Elementary.pptx...................
ferdinandsanbuenaven
 
PDF
Federal dollars withheld by district, charter, grant recipient
Mebane Rash
 
PPTX
How to Configure Lost Reasons in Odoo 18 CRM
Celine George
 
PDF
The-Beginnings-of-Indian-Civilisation.pdf/6th class new ncert social/by k san...
Sandeep Swamy
 
PDF
CEREBRAL PALSY: NURSING MANAGEMENT .pdf
PRADEEP ABOTHU
 
PPTX
How to Define Translation to Custom Module And Add a new language in Odoo 18
Celine George
 
PDF
ARAL_Orientation_Day-2-Sessions_ARAL-Readung ARAL-Mathematics ARAL-Sciencev2.pdf
JoelVilloso1
 
PPTX
LEGAL ASPECTS OF PSYCHIATRUC NURSING.pptx
PoojaSen20
 
PDF
BÀI TẬP BỔ TRỢ THEO LESSON TIẾNG ANH - I-LEARN SMART WORLD 7 - CẢ NĂM - CÓ ĐÁ...
Nguyen Thanh Tu Collection
 
PPTX
HYDROCEPHALUS: NURSING MANAGEMENT .pptx
PRADEEP ABOTHU
 
PPTX
How to Manage Access Rights & User Types in Odoo 18
Celine George
 
Optimizing Cancer Screening With MCED Technologies: From Science to Practical...
i3 Health
 
ARAL-Orientation_Morning-Session_Day-11.pdf
JoelVilloso1
 
IMP NAAC-Reforms-Stakeholder-Consultation-Presentation-on-Draft-Metrics-Unive...
BHARTIWADEKAR
 
Unit 2 COMMERCIAL BANKING, Corporate banking.pptx
AnubalaSuresh1
 
How to Manage Promotions in Odoo 18 Sales
Celine George
 
Views on Education of Indian Thinkers Mahatma Gandhi.pptx
ShrutiMahanta1
 
ASRB NET 2023 PREVIOUS YEAR QUESTION PAPER GENETICS AND PLANT BREEDING BY SAT...
Krashi Coaching
 
Optimizing Cancer Screening With MCED Technologies: From Science to Practical...
i3 Health
 
Accounting Skills Paper-I, Preparation of Vouchers
Dr. Sushil Bansode
 
Nutri-QUIZ-Bee-Elementary.pptx...................
ferdinandsanbuenaven
 
Federal dollars withheld by district, charter, grant recipient
Mebane Rash
 
How to Configure Lost Reasons in Odoo 18 CRM
Celine George
 
The-Beginnings-of-Indian-Civilisation.pdf/6th class new ncert social/by k san...
Sandeep Swamy
 
CEREBRAL PALSY: NURSING MANAGEMENT .pdf
PRADEEP ABOTHU
 
How to Define Translation to Custom Module And Add a new language in Odoo 18
Celine George
 
ARAL_Orientation_Day-2-Sessions_ARAL-Readung ARAL-Mathematics ARAL-Sciencev2.pdf
JoelVilloso1
 
LEGAL ASPECTS OF PSYCHIATRUC NURSING.pptx
PoojaSen20
 
BÀI TẬP BỔ TRỢ THEO LESSON TIẾNG ANH - I-LEARN SMART WORLD 7 - CẢ NĂM - CÓ ĐÁ...
Nguyen Thanh Tu Collection
 
HYDROCEPHALUS: NURSING MANAGEMENT .pptx
PRADEEP ABOTHU
 
How to Manage Access Rights & User Types in Odoo 18
Celine George
 
Ad

Introduction to matlab

  • 1. Introduction to Matlab By: İ.Yücel Özbek
  • 2. Outline:  What is Matlab?  Matlab Screen  Variables, array, matrix, indexing  Operators (Arithmetic, relational, logical )  Display Facilities  Flow Control  Using of M-File  Writing User Defined Functions  Conclusion
  • 3. What is Matlab?  Matlab is basically a high level language which has many specialized toolboxes for making things easier for us  How high? Matlab High Level Languages such as C, Pascal etc. Assembly
  • 4. What are we interested in?  Matlab is too broad for our purposes in this course.  The features we are going to require is Matlab Series of Matlab commands Command m-files mat-files Line functions Command execution Data Input like DOS command storage/ Output window loading capability
  • 5. Matlab Screen  Command Window  type commands  Current Directory  View folders and m-files  Workspace  View program variables  Double click on a variable to see it in the Array Editor  Command History  view past commands  save a whole session using diary
  • 6. Variables  No need for types. i.e., int a; double b; float c;  All variables are created with double precision unless specified and they are matrices. Example: >>x=5; >>x1=2;  After these statements, the variables are 1x1 matrices with double precision
  • 7. Array, Matrix  a vector x = [1 2 5 1] x = 1 2 5 1  a matrix x = [1 2 3; 5 1 4; 3 2 -1] x = 1 2 3 5 1 4 3 2 -1  transpose y = x’ y = 1 2 5 1
  • 8. Long Array, Matrix  t =1:10 t = 1 2 3 4 5 6 7 8 9 10  k =2:-0.5:-1 k = 2 1.5 1 0.5 0 -0.5 -1  B = [1:4; 5:8] x = 1 2 3 4 5 6 7 8
  • 9. Generating Vectors from functions  zeros(M,N) MxN matrix of zeros x = zeros(1,3) x = 0 0 0  ones(M,N) MxN matrix of ones x = ones(1,3) x = 1 1 1  rand(M,N) MxN matrix of uniformly distributed random x = rand(1,3) numbers on (0,1) x = 0.9501 0.2311 0.6068
  • 10. Matrix Index  The matrix indices begin from 1 (not 0 (as in C))  The matrix indices must be positive integer Given: A(-2), A(0) Error: ??? Subscript indices must either be real positive integers or logicals. A(4,2) Error: ??? Index exceeds matrix dimensions.
  • 11. Concatenation of Matrices  x = [1 2], y = [4 5], z=[ 0 0] A = [ x y] 1 2 4 5 B = [x ; y] 1 2 4 5 C = [x y ;z] Error: ??? Error using ==> vertcat CAT arguments dimensions are not consistent.
  • 12. Operators (arithmetic) + addition - subtraction * multiplication / division ^ power ‘ complex conjugate transpose
  • 13. Matrices Operations Given A and B: Addition Subtraction Product Transpose
  • 14. Operators (Element by Element) .* element-by-element multiplication ./ element-by-element division .^ element-by-element power
  • 15. The use of “.” – “Element” Operation A = [1 2 3; 5 1 4; 3 2 1] A= 1 2 3 5 1 4 3 2 -1 b = x .* y c=x./y d = x .^2 x = A(1,:) y = A(3 ,:) b= c= d= x= y= 3 8 -3 0.33 0.5 -3 1 4 9 1 2 3 3 4 -1 K= x^2 Erorr: ??? Error using ==> mpower Matrix must be square. B=x*y Erorr: ??? Error using ==> mtimes Inner matrix dimensions must agree.
  • 16. Basic Task: Plot the function sin(x) between 0≤x≤4π  Create an x-array of 100 samples between 0 and 4π. >>x=linspace(0,4*pi,100);  Calculate sin(.) of the x-array1 0.8 0.6 >>y=sin(x); 0.4 0.2 0  Plot the y-array -0.2 -0.4 -0.6 >>plot(y) -0.8 -1 0 10 20 30 40 50 60 70 80 90 100
  • 17. Plot the function e-x/3sin(x) between 0≤x≤4π  Create an x-array of 100 samples between 0 and 4π. >>x=linspace(0,4*pi,100);  Calculate sin(.) of the x-array >>y=sin(x);  Calculate e-x/3 of the x-array >>y1=exp(-x/3);  Multiply the arrays y and y1 >>y2=y*y1;
  • 18. Plot the function e-x/3sin(x) between 0≤x≤4π  Multiply the arrays y and y1 correctly >>y2=y.*y1;  Plot the y2-array 0.7 >>plot(y2) 0.6 0.5 0.4 0.3 0.2 0.1 0 -0.1 -0.2 -0.3 0 10 20 30 40 50 60 70 80 90 100
  • 19. Display Facilities 0.7 0.6 0.5  plot(.) 0.4 0.3 Example: 0.2 0.1 >>x=linspace(0,4*pi,100); 0 >>y=sin(x); -0.1 >>plot(y) -0.2 >>plot(x,y) -0.3 0 10 20 30 40 50 60 70 80 90 100 0.7  stem(.) 0.6 0.5 0.4 0.3 Example: 0.2 0.1 >>stem(y) 0 >>stem(x,y) -0.1 -0.2 -0.3 0 10 20 30 40 50 60 70 80 90 100
  • 20. Display Facilities  title(.) >>title(‘This is the sinus function’) This is the sinus function 1 0.8  xlabel(.) 0.6 0.4 >>xlabel(‘x (secs)’) 0.2 sin(x) 0  ylabel(.) -0.2 -0.4 -0.6 -0.8 >>ylabel(‘sin(x)’) -1 0 10 20 30 40 50 60 70 80 90 100 x (secs)
  • 21. Operators (relational, logical)  == Equal to  ~= Not equal to  < Strictly smaller  > Strictly greater  <= Smaller than or equal to  >= Greater than equal to  & And operator  | Or operator
  • 22. Flow Control  if  for  while  break  ….
  • 23. Control Structures Some Dummy Examples  If Statement Syntax if ((a>3) & (b==5)) Some Matlab Commands; if (Condition_1) end Matlab Commands if (a<3) elseif (Condition_2) Some Matlab Commands; Matlab Commands elseif (b~=5) Some Matlab Commands; elseif (Condition_3) end Matlab Commands if (a<3) else Some Matlab Commands; Matlab Commands else Some Matlab Commands; end end
  • 24. Control Structures Some Dummy Examples  For loop syntax for i=1:100 Some Matlab Commands; end for i=Index_Array for j=1:3:200 Some Matlab Commands; Matlab Commands end end for m=13:-0.2:-21 Some Matlab Commands; end for k=[0.1 0.3 -13 12 7 -9.3] Some Matlab Commands; end
  • 25. Control Structures  While Loop Syntax Dummy Example while (condition) Matlab Commands while ((a>3) & (b==5)) Some Matlab Commands; end end
  • 26. Use of M-File Click to create a new M-File • Extension “.m” • A text file containing script or function or program to run
  • 27. Use of M-File Save file as Denem430.m If you include “;” at the end of each statement, result will not be shown immediately
  • 28. Writing User Defined Functions  Functions are m-files which can be executed by specifying some inputs and supply some desired outputs.  The code telling the Matlab that an m-file is actually a function is function out1=functionname(in1) function out1=functionname(in1,in2,in3) function [out1,out2]=functionname(in1,in2)  You should write this command at the beginning of the m-file and you should save the m-file with a file name same as the function name
  • 29. Writing User Defined Functions  Examples  Write a function : out=squarer (A, ind)  Which takes the square of the input matrix if the input indicator is equal to 1  And takes the element by element square of the input matrix if the input indicator is equal to 2 Same Name
  • 30. Writing User Defined Functions  Another function which takes an input array and returns the sum and product of its elements as outputs  The function sumprod(.) can be called from command window or an m-file as
  • 31. Notes:  “%” is the neglect sign for Matlab (equaivalent of “//” in C). Anything after it on the same line is neglected by Matlab compiler.  Sometimes slowing down the execution is done deliberately for observation purposes. You can use the command “pause” for this purpose pause %wait until any key pause(3) %wait 3 seconds
  • 32. Useful Commands  The two commands used most by Matlab users are >>help functionname >>lookfor keyword
  • 33. Questions  ?  ?  ?  ?  ?