SlideShare una empresa de Scribd logo
1 de 28
Introduction to
    MATLAB
   Developed primarily by Cleve Moler in the
    1970's using FORTRAN subroutines.
   Rewritten in C in the 1980's with more
    functionality, which also include plotting
    features.
   The MathWorks Inc. was created (1984) to
    market and continue development of
    MATLAB.
   The name MATLAB stands for MATrix
    LABoratory.
   It is a package for scientific and technical
    computations and modeling.
   It was originally designed for solving linear
    algebra type problems using matrices.
   MATLAB is a high-performance language
    for technical computing. It integrates
    computation, visualization, and
    programming environment.
   The MATLAB environment is command oriented
    somewhat like UNIX. A prompt appears on the
    screen and a MATLAB statement can be entered.
    When the <ENTER> key is pressed, the statement
    is executed, and another prompt appears.
   MATLAB now has built-in functions for solving
    problems requiring data analysis, signal
    processing, optimization, and several other types
    of scientific computations.
   It also contains functions for 2-D and 3-D graphics
    and animation.
   It is a high level language for technical
    computation.
                        Matlab

                         High Level
                     Languages such as
                        C, Pascal etc.




                      Assembly
  MATLAB is case sensitive.
 The fundamental data type is an array.
 Has ability to make functions in command
   window in a single line.
 Can be linked to C/C++, JAVA, SQL, etc.
 Specific applications are collected in
   packages referred to as toolbox.
  It is possible to keep track of everything done
   during a MATLAB session.
Some Glimpses of the power of MATLAB
Some Glimpses of the power of MATLAB
Some Glimpses of the power of MATLAB
Some Glimpses of the power of MATLAB
1.   Numerical computation and symbolic
     calculations
2.   Data processing
3.   Programming
4.   Visualization
5.   GUI
6.   System modeling and simulation.
7.   Design Games
   .fig   MATLAB Figure
   .m     MATLAB function, script,
           or class
   .mat   MATLAB binary file for storing
           variables
   .mex   MATLAB executable (platform
           specific, e.g.".mexmac" for Mac,
           ".mexglx" for Linux, etc.)
   .p     MATLAB content-obscured .m
           file (result of pcode() )
Matlab
Series of Matlab
  commands
                                  Command
                    m-files                         mat-files
                                    Line



                   functions   Command execution   Data storage/
                                   like DOS          loading
      Input                     command window
     Output
    capability
    In has the extended graphical capability.
    The various plots are:
1.    2-D plots
2.    3-D plots
3.    Scatter plots
4.    Mesh plots
5.    Surface plots
6.    Etc...
   Simulink software models, simulates, and analyzes
    dynamic systems.
   Simulink supports linear and nonlinear systems,
    modeled in continuous time, sampled time, or a
    hybrid of the two.
   Used to model and solve real problems in a variety
    of industries, including:
     • Aerospace and Defense
     • Automotive
     • Communications
     • Electronics and Signal Processing
     • Medical Instrumentation
 Control System Toolbox
 Image Processing Toolbox
 Signal Processing Toolbox
 Financial toolbox
 Statistical Toolbox
 Communication Toolbox
 Neural Network Toolbox
 Fuzzy Logic Toolbox
 Aerospace Toolbox
 Fixed Income Toolbox
   MATLAB may behave as a calculator or as a
    programming Language.
   MATLAB combines calculation and graphic plotting.
   MATLAB is relatively easy to learn.
   MATLAB is interpreted (not compiled), errors are
    easy to fix.
   MATLAB is optimized to be relatively fast when
    performing matrix operations.
   Academics and scientific research.
   Defense applications
   Space exploration
   Artificial Intelligence
   Bio-informatics and medical science
   Forecasting
   Plant modelling
   Finance
   Security Systems
   Communication & Networking
   Electronics
   Communication
   Chemical
   Biomedical
   Software industries
   Finance companies
   Instrument manufacturers
   Plant designing

Note:- It has extensive use in R&D department of
       almost all the big companies.
   MathWorks
   Intel
   Cadence
   Philips, Sony, Samsung, LG
   IBM, HP, Acer
   General Motors, Ford, Honda
   NSN, Ericsson, Tech Mahindra
   NASA
   ISRO
   CSIO, DRDO, BEL, BDL
QUESTIONS
Matlab lecture
Matlab lecture

Más contenido relacionado

La actualidad más candente

Matlab (Presentation on MATLAB)
Matlab (Presentation on MATLAB)Matlab (Presentation on MATLAB)
Matlab (Presentation on MATLAB)Chetan Allapur
 
MATLAB/SIMULINK for engineering applications: day 3
MATLAB/SIMULINK for engineering applications: day 3MATLAB/SIMULINK for engineering applications: day 3
MATLAB/SIMULINK for engineering applications: day 3reddyprasad reddyvari
 
application based Presentation on matlab simulink & related tools
application based Presentation on matlab simulink & related toolsapplication based Presentation on matlab simulink & related tools
application based Presentation on matlab simulink & related toolsEshaan Verma
 
Data flow architecture
Data flow architectureData flow architecture
Data flow architectureSourav Routh
 
Specter - AAL
Specter - AALSpecter - AAL
Specter - AALPROBOTEK
 
CIS110 Computer Programming Design Chapter (3)
CIS110 Computer Programming Design Chapter  (3)CIS110 Computer Programming Design Chapter  (3)
CIS110 Computer Programming Design Chapter (3)Dr. Ahmed Al Zaidy
 
Parallel Processing
Parallel ProcessingParallel Processing
Parallel ProcessingRTigger
 
Parallel programming model
Parallel programming modelParallel programming model
Parallel programming modeleasy notes
 
9716v09 sv factsheet
9716v09 sv factsheet9716v09 sv factsheet
9716v09 sv factsheetakprovip
 

La actualidad más candente (19)

Matlab (Presentation on MATLAB)
Matlab (Presentation on MATLAB)Matlab (Presentation on MATLAB)
Matlab (Presentation on MATLAB)
 
Simulink
SimulinkSimulink
Simulink
 
Tutorial
TutorialTutorial
Tutorial
 
Libro de MATLAB
Libro de MATLABLibro de MATLAB
Libro de MATLAB
 
MATLAB/SIMULINK for engineering applications: day 3
MATLAB/SIMULINK for engineering applications: day 3MATLAB/SIMULINK for engineering applications: day 3
MATLAB/SIMULINK for engineering applications: day 3
 
main
mainmain
main
 
application based Presentation on matlab simulink & related tools
application based Presentation on matlab simulink & related toolsapplication based Presentation on matlab simulink & related tools
application based Presentation on matlab simulink & related tools
 
Introduction to computer_lec_03
Introduction to computer_lec_03Introduction to computer_lec_03
Introduction to computer_lec_03
 
Data flow architecture
Data flow architectureData flow architecture
Data flow architecture
 
Systolic, Transposed & Semi-Parallel Architectures and Programming
Systolic, Transposed & Semi-Parallel Architectures and ProgrammingSystolic, Transposed & Semi-Parallel Architectures and Programming
Systolic, Transposed & Semi-Parallel Architectures and Programming
 
Specter - AAL
Specter - AALSpecter - AAL
Specter - AAL
 
Lesson 3.1 variables and constant
Lesson 3.1 variables and constantLesson 3.1 variables and constant
Lesson 3.1 variables and constant
 
Dependencies
DependenciesDependencies
Dependencies
 
Programming basics
Programming basicsProgramming basics
Programming basics
 
CIS110 Computer Programming Design Chapter (3)
CIS110 Computer Programming Design Chapter  (3)CIS110 Computer Programming Design Chapter  (3)
CIS110 Computer Programming Design Chapter (3)
 
Parallel Processing
Parallel ProcessingParallel Processing
Parallel Processing
 
Parallel programming model
Parallel programming modelParallel programming model
Parallel programming model
 
Parallel programming model
Parallel programming modelParallel programming model
Parallel programming model
 
9716v09 sv factsheet
9716v09 sv factsheet9716v09 sv factsheet
9716v09 sv factsheet
 

Similar a Matlab lecture

Matlab Introduction
Matlab IntroductionMatlab Introduction
Matlab Introductionideas2ignite
 
Matlab for Electrical Engineers
Matlab for Electrical EngineersMatlab for Electrical Engineers
Matlab for Electrical EngineersManish Joshi
 
Introduction to Matlab for Engineering Students.pdf
Introduction to Matlab for Engineering Students.pdfIntroduction to Matlab for Engineering Students.pdf
Introduction to Matlab for Engineering Students.pdfDrAzizulHasan1
 
Digital image processing - What is digital image processign
Digital image processing - What is digital image processignDigital image processing - What is digital image processign
Digital image processing - What is digital image processignE2MATRIX
 
IEEE Papers on Image Processing
IEEE Papers on Image ProcessingIEEE Papers on Image Processing
IEEE Papers on Image ProcessingE2MATRIX
 
MATLAB workshop lecture 1MATLAB work.ppt
MATLAB workshop lecture 1MATLAB work.pptMATLAB workshop lecture 1MATLAB work.ppt
MATLAB workshop lecture 1MATLAB work.pptssuserdee4d8
 
Matlab Introduction
Matlab IntroductionMatlab Introduction
Matlab IntroductionDaniel Moore
 
MATLAB'S PRESENTS1.pptx
MATLAB'S  PRESENTS1.pptxMATLAB'S  PRESENTS1.pptx
MATLAB'S PRESENTS1.pptxNikhilPadole5
 
Introduction to MATLAB
Introduction to MATLABIntroduction to MATLAB
Introduction to MATLABAshish Meshram
 
Matlab introduction lecture 1
Matlab introduction lecture 1Matlab introduction lecture 1
Matlab introduction lecture 1Mohamed Awni
 
Matlab - Introduction and Basics
Matlab - Introduction and BasicsMatlab - Introduction and Basics
Matlab - Introduction and BasicsTechsparks
 
Summer training matlab
Summer training matlab Summer training matlab
Summer training matlab Arshit Rai
 
Summer training matlab
Summer training matlab Summer training matlab
Summer training matlab Arshit Rai
 
Kevin merchantss
Kevin merchantssKevin merchantss
Kevin merchantssdharmesh69
 
KEVIN MERCHANT DOCUMENT
KEVIN MERCHANT DOCUMENTKEVIN MERCHANT DOCUMENT
KEVIN MERCHANT DOCUMENTtejas1235
 
Linux and Open Source in Math, Science and Engineering
Linux and Open Source in Math, Science and EngineeringLinux and Open Source in Math, Science and Engineering
Linux and Open Source in Math, Science and EngineeringPDE1D
 

Similar a Matlab lecture (20)

Matlab Introduction
Matlab IntroductionMatlab Introduction
Matlab Introduction
 
Matlab for Electrical Engineers
Matlab for Electrical EngineersMatlab for Electrical Engineers
Matlab for Electrical Engineers
 
Introduction to Matlab for Engineering Students.pdf
Introduction to Matlab for Engineering Students.pdfIntroduction to Matlab for Engineering Students.pdf
Introduction to Matlab for Engineering Students.pdf
 
Matlab demo
Matlab demoMatlab demo
Matlab demo
 
Digital image processing - What is digital image processign
Digital image processing - What is digital image processignDigital image processing - What is digital image processign
Digital image processing - What is digital image processign
 
++Matlab 14 sesiones
++Matlab 14 sesiones++Matlab 14 sesiones
++Matlab 14 sesiones
 
IEEE Papers on Image Processing
IEEE Papers on Image ProcessingIEEE Papers on Image Processing
IEEE Papers on Image Processing
 
All About MATLAB
All About MATLABAll About MATLAB
All About MATLAB
 
MATLAB workshop lecture 1MATLAB work.ppt
MATLAB workshop lecture 1MATLAB work.pptMATLAB workshop lecture 1MATLAB work.ppt
MATLAB workshop lecture 1MATLAB work.ppt
 
Matlab Introduction
Matlab IntroductionMatlab Introduction
Matlab Introduction
 
MATLAB'S PRESENTS1.pptx
MATLAB'S  PRESENTS1.pptxMATLAB'S  PRESENTS1.pptx
MATLAB'S PRESENTS1.pptx
 
Introduction to MATLAB
Introduction to MATLABIntroduction to MATLAB
Introduction to MATLAB
 
Matlab introduction lecture 1
Matlab introduction lecture 1Matlab introduction lecture 1
Matlab introduction lecture 1
 
Matlab - Introduction and Basics
Matlab - Introduction and BasicsMatlab - Introduction and Basics
Matlab - Introduction and Basics
 
Summer training matlab
Summer training matlab Summer training matlab
Summer training matlab
 
Summer training matlab
Summer training matlab Summer training matlab
Summer training matlab
 
An ntutorial[1]
An ntutorial[1]An ntutorial[1]
An ntutorial[1]
 
Kevin merchantss
Kevin merchantssKevin merchantss
Kevin merchantss
 
KEVIN MERCHANT DOCUMENT
KEVIN MERCHANT DOCUMENTKEVIN MERCHANT DOCUMENT
KEVIN MERCHANT DOCUMENT
 
Linux and Open Source in Math, Science and Engineering
Linux and Open Source in Math, Science and EngineeringLinux and Open Source in Math, Science and Engineering
Linux and Open Source in Math, Science and Engineering
 

Último

Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 

Último (20)

Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 

Matlab lecture

  • 1.
  • 2.
  • 4. Developed primarily by Cleve Moler in the 1970's using FORTRAN subroutines.  Rewritten in C in the 1980's with more functionality, which also include plotting features.  The MathWorks Inc. was created (1984) to market and continue development of MATLAB.
  • 5. The name MATLAB stands for MATrix LABoratory.  It is a package for scientific and technical computations and modeling.  It was originally designed for solving linear algebra type problems using matrices.  MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming environment.
  • 6. The MATLAB environment is command oriented somewhat like UNIX. A prompt appears on the screen and a MATLAB statement can be entered. When the <ENTER> key is pressed, the statement is executed, and another prompt appears.  MATLAB now has built-in functions for solving problems requiring data analysis, signal processing, optimization, and several other types of scientific computations.  It also contains functions for 2-D and 3-D graphics and animation.
  • 7. It is a high level language for technical computation. Matlab High Level Languages such as C, Pascal etc. Assembly
  • 8.  MATLAB is case sensitive.  The fundamental data type is an array.  Has ability to make functions in command window in a single line.  Can be linked to C/C++, JAVA, SQL, etc.  Specific applications are collected in packages referred to as toolbox.  It is possible to keep track of everything done during a MATLAB session.
  • 9. Some Glimpses of the power of MATLAB
  • 10. Some Glimpses of the power of MATLAB
  • 11. Some Glimpses of the power of MATLAB
  • 12. Some Glimpses of the power of MATLAB
  • 13. 1. Numerical computation and symbolic calculations 2. Data processing 3. Programming 4. Visualization 5. GUI 6. System modeling and simulation. 7. Design Games
  • 14.
  • 15. .fig MATLAB Figure  .m MATLAB function, script, or class  .mat MATLAB binary file for storing variables  .mex MATLAB executable (platform specific, e.g.".mexmac" for Mac, ".mexglx" for Linux, etc.)  .p MATLAB content-obscured .m file (result of pcode() )
  • 16. Matlab Series of Matlab commands Command m-files mat-files Line functions Command execution Data storage/ like DOS loading Input command window Output capability
  • 17. In has the extended graphical capability.  The various plots are: 1. 2-D plots 2. 3-D plots 3. Scatter plots 4. Mesh plots 5. Surface plots 6. Etc...
  • 18.
  • 19. Simulink software models, simulates, and analyzes dynamic systems.  Simulink supports linear and nonlinear systems, modeled in continuous time, sampled time, or a hybrid of the two.  Used to model and solve real problems in a variety of industries, including: • Aerospace and Defense • Automotive • Communications • Electronics and Signal Processing • Medical Instrumentation
  • 20.
  • 21.  Control System Toolbox  Image Processing Toolbox  Signal Processing Toolbox  Financial toolbox  Statistical Toolbox  Communication Toolbox  Neural Network Toolbox  Fuzzy Logic Toolbox  Aerospace Toolbox  Fixed Income Toolbox
  • 22. MATLAB may behave as a calculator or as a programming Language.  MATLAB combines calculation and graphic plotting.  MATLAB is relatively easy to learn.  MATLAB is interpreted (not compiled), errors are easy to fix.  MATLAB is optimized to be relatively fast when performing matrix operations.
  • 23. Academics and scientific research.  Defense applications  Space exploration  Artificial Intelligence  Bio-informatics and medical science  Forecasting  Plant modelling  Finance  Security Systems  Communication & Networking
  • 24. Electronics  Communication  Chemical  Biomedical  Software industries  Finance companies  Instrument manufacturers  Plant designing Note:- It has extensive use in R&D department of almost all the big companies.
  • 25. MathWorks  Intel  Cadence  Philips, Sony, Samsung, LG  IBM, HP, Acer  General Motors, Ford, Honda  NSN, Ericsson, Tech Mahindra  NASA  ISRO  CSIO, DRDO, BEL, BDL