SlideShare a Scribd company logo
Matlab: Procedures and Functions
Script files Script files, also called M- files as they have extension .m, make MATLAB programming much more efficient than entering individual commands at the command prompt. A script file consists of MATLAB commands that together perform a specific task. The M-file is a text file which can be created and edited by any plain text editor like Notepad, emacs or the built-in MATLAB editor. 
Script files Script files, also called M- files as they have extension .m, make MATLAB programming much more efficient than entering individual commands at the command prompt. A script file consists of MATLAB commands that together perform a specific task. The M-file is a text file which can be created and edited by any plain text editor like Notepad, emacs or the built-in MATLAB editor. 
Script files Here’s an example of what a script file looks like:
Script files Important commands: for- To print "Hello World" 10 times write ,[object Object]
disp('Hello World')
 end,[object Object]
a = b + 1
elseif a > b
 a = b - 1
else a = b
 end,[object Object]
 User Defined Functions An example of a function:
String Handling Creating strings Strings are matrices with character elements. The simplest way to create a string is to use it on the left side of an equal sign where the right side of the equal sign is an expression that evaluates to a string. String constants (literals) are enclosed in single quotes. The following example shows how to create string variables. >> first = 'John';  >> last = 'Coltrane';  >> name = [first,' ',last]
String Handling >> string='This is a string‘ >> string(3) % gives the third element in the variable words.  ans = i >> string(2)='t' % replaces the second element in the vector with t.
String Handling >> Y= input('Please type something here: ','s');  % Matlab expects a  number, string or a matrix from the keyboard.  % The second argument says the returned variable should be a string. >> disp('The name is: '), disp(x)  % gives text as output and the value of x.

More Related Content

What's hot

Power Management in Wireless Sensor Network
Power Management in Wireless Sensor NetworkPower Management in Wireless Sensor Network
Power Management in Wireless Sensor NetworkBhavik Panchal
 
5G NR MIB and SIBs
5G NR MIB and SIBs5G NR MIB and SIBs
5G NR MIB and SIBs
Iman Mohammadi
 
Rajesh basics of networking and routing
Rajesh basics of networking and routingRajesh basics of networking and routing
Rajesh basics of networking and routingr123027
 
Call flow in gsm
Call flow in gsmCall flow in gsm
Call flow in gsm
vish0110
 
Signaling system 7 (ss7)
Signaling system 7 (ss7)Signaling system 7 (ss7)
Signaling system 7 (ss7)
usman zulfqar
 
Design Issues In Adhoc Wireless MAC Protocol
Design Issues In Adhoc Wireless MAC ProtocolDesign Issues In Adhoc Wireless MAC Protocol
Design Issues In Adhoc Wireless MAC Protocol
Dushhyant Kumar
 
Massive mimo
Massive mimoMassive mimo
Massive mimo
Mustafa Khaleel
 
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
Data-Centric Routing Protocols in Wireless Sensor Network: A surveyData-Centric Routing Protocols in Wireless Sensor Network: A survey
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
Ali Habeeb
 
Restcomm Geolocation API and GMLC Restconn 2017
Restcomm Geolocation API and GMLC Restconn 2017Restcomm Geolocation API and GMLC Restconn 2017
Restcomm Geolocation API and GMLC Restconn 2017
Eng. Fernando Mendioroz, MSc.
 
5G-Performance-Optimisation DATA RADIO oT+P+++.pdf
5G-Performance-Optimisation DATA RADIO oT+P+++.pdf5G-Performance-Optimisation DATA RADIO oT+P+++.pdf
5G-Performance-Optimisation DATA RADIO oT+P+++.pdf
Zouhir Allaoui
 
Aloha protocol in data communication and networking
Aloha protocol in data communication and networkingAloha protocol in data communication and networking
Aloha protocol in data communication and networking
kritikadas3
 
Multiplexing and spreading
Multiplexing and spreadingMultiplexing and spreading
Multiplexing and spreading
Shankar Gangaju
 
BASIC GSM
BASIC GSMBASIC GSM
BASIC GSM
Tempus Telcosys
 
Commands...
Commands...Commands...
Commands...
BRIJESH SINGH
 
cellular concepts in wireless communication
cellular concepts in wireless communicationcellular concepts in wireless communication
cellular concepts in wireless communicationasadkhan1327
 
01 knapsack using backtracking
01 knapsack using backtracking01 knapsack using backtracking
01 knapsack using backtrackingmandlapure
 
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networksData aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
Jasleen Kaur (Chandigarh University)
 
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
 TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
ijujournal
 

What's hot (20)

Power Management in Wireless Sensor Network
Power Management in Wireless Sensor NetworkPower Management in Wireless Sensor Network
Power Management in Wireless Sensor Network
 
5G NR MIB and SIBs
5G NR MIB and SIBs5G NR MIB and SIBs
5G NR MIB and SIBs
 
Rajesh basics of networking and routing
Rajesh basics of networking and routingRajesh basics of networking and routing
Rajesh basics of networking and routing
 
Call flow in gsm
Call flow in gsmCall flow in gsm
Call flow in gsm
 
Signaling system 7 (ss7)
Signaling system 7 (ss7)Signaling system 7 (ss7)
Signaling system 7 (ss7)
 
Design Issues In Adhoc Wireless MAC Protocol
Design Issues In Adhoc Wireless MAC ProtocolDesign Issues In Adhoc Wireless MAC Protocol
Design Issues In Adhoc Wireless MAC Protocol
 
Massive mimo
Massive mimoMassive mimo
Massive mimo
 
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
Data-Centric Routing Protocols in Wireless Sensor Network: A surveyData-Centric Routing Protocols in Wireless Sensor Network: A survey
Data-Centric Routing Protocols in Wireless Sensor Network: A survey
 
Restcomm Geolocation API and GMLC Restconn 2017
Restcomm Geolocation API and GMLC Restconn 2017Restcomm Geolocation API and GMLC Restconn 2017
Restcomm Geolocation API and GMLC Restconn 2017
 
5G-Performance-Optimisation DATA RADIO oT+P+++.pdf
5G-Performance-Optimisation DATA RADIO oT+P+++.pdf5G-Performance-Optimisation DATA RADIO oT+P+++.pdf
5G-Performance-Optimisation DATA RADIO oT+P+++.pdf
 
Aloha protocol in data communication and networking
Aloha protocol in data communication and networkingAloha protocol in data communication and networking
Aloha protocol in data communication and networking
 
Multiplexing and spreading
Multiplexing and spreadingMultiplexing and spreading
Multiplexing and spreading
 
BASIC GSM
BASIC GSMBASIC GSM
BASIC GSM
 
Pilot Pollution
Pilot PollutionPilot Pollution
Pilot Pollution
 
Commands...
Commands...Commands...
Commands...
 
cellular concepts in wireless communication
cellular concepts in wireless communicationcellular concepts in wireless communication
cellular concepts in wireless communication
 
01 knapsack using backtracking
01 knapsack using backtracking01 knapsack using backtracking
01 knapsack using backtracking
 
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networksData aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
 
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
 TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
 
Xcap post processing tool
Xcap post processing toolXcap post processing tool
Xcap post processing tool
 

Viewers also liked

Matlab Introduction
Matlab IntroductionMatlab Introduction
Matlab Introduction
ideas2ignite
 
Matlab assignment help
Matlab assignment helpMatlab assignment help
Matlab assignment help
Anderson Silva
 
MATLAB Scripts - Examples
MATLAB Scripts - ExamplesMATLAB Scripts - Examples
MATLAB Scripts - Examples
Shameer Ahmed Koya
 
Introduction to Matlab Scripts
Introduction to Matlab ScriptsIntroduction to Matlab Scripts
Introduction to Matlab Scripts
Shameer Ahmed Koya
 
Journal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific ComputingJournal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific Computing
Bram Zandbelt
 
How to work on Matlab.......
How to work on Matlab.......How to work on Matlab.......
How to work on Matlab.......biinoida
 

Viewers also liked (6)

Matlab Introduction
Matlab IntroductionMatlab Introduction
Matlab Introduction
 
Matlab assignment help
Matlab assignment helpMatlab assignment help
Matlab assignment help
 
MATLAB Scripts - Examples
MATLAB Scripts - ExamplesMATLAB Scripts - Examples
MATLAB Scripts - Examples
 
Introduction to Matlab Scripts
Introduction to Matlab ScriptsIntroduction to Matlab Scripts
Introduction to Matlab Scripts
 
Journal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific ComputingJournal Club - Best Practices for Scientific Computing
Journal Club - Best Practices for Scientific Computing
 
How to work on Matlab.......
How to work on Matlab.......How to work on Matlab.......
How to work on Matlab.......
 

Similar to Matlab: Procedures And Functions

Matlab Basic Tutorial
Matlab Basic TutorialMatlab Basic Tutorial
Matlab Basic Tutorial
Muhammad Rizwan
 
Matlab Manual
Matlab ManualMatlab Manual
Brief Introduction to Matlab
Brief  Introduction to MatlabBrief  Introduction to Matlab
Brief Introduction to Matlab
Tariq kanher
 
MatlabIntro.ppt
MatlabIntro.pptMatlabIntro.ppt
MatlabIntro.ppt
ssuser772830
 
PHP Web Programming
PHP Web ProgrammingPHP Web Programming
PHP Web Programming
Muthuselvam RS
 
Matlab strings
Matlab stringsMatlab strings
Matlab strings
pramodkumar1804
 
Pattern matching programs
Pattern matching programsPattern matching programs
Pattern matching programs
akruthi k
 
Introduction to matlab
Introduction to matlabIntroduction to matlab
Introduction to matlab
vikrammutneja1
 
Ch1
Ch1Ch1
Unitii classnotes
Unitii classnotesUnitii classnotes
Unitii classnotes
Sowri Rajan
 
Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013Kurmendra Singh
 
Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013
amanabr
 
Matlab guide
Matlab guideMatlab guide
Matlab guide
aibad ahmed
 

Similar to Matlab: Procedures And Functions (20)

Matlab Basic Tutorial
Matlab Basic TutorialMatlab Basic Tutorial
Matlab Basic Tutorial
 
Introduction to matlab
Introduction to matlabIntroduction to matlab
Introduction to matlab
 
Introduction to matlab
Introduction to matlabIntroduction to matlab
Introduction to matlab
 
Matlab Manual
Matlab ManualMatlab Manual
Matlab Manual
 
Brief Introduction to Matlab
Brief  Introduction to MatlabBrief  Introduction to Matlab
Brief Introduction to Matlab
 
MatlabIntro.ppt
MatlabIntro.pptMatlabIntro.ppt
MatlabIntro.ppt
 
Matlab intro
Matlab introMatlab intro
Matlab intro
 
MatlabIntro.ppt
MatlabIntro.pptMatlabIntro.ppt
MatlabIntro.ppt
 
MatlabIntro.ppt
MatlabIntro.pptMatlabIntro.ppt
MatlabIntro.ppt
 
MatlabIntro.ppt
MatlabIntro.pptMatlabIntro.ppt
MatlabIntro.ppt
 
PHP Web Programming
PHP Web ProgrammingPHP Web Programming
PHP Web Programming
 
Matlab strings
Matlab stringsMatlab strings
Matlab strings
 
Pattern matching programs
Pattern matching programsPattern matching programs
Pattern matching programs
 
Introduction to matlab
Introduction to matlabIntroduction to matlab
Introduction to matlab
 
Ch1
Ch1Ch1
Ch1
 
Unitii classnotes
Unitii classnotesUnitii classnotes
Unitii classnotes
 
Ch09
Ch09Ch09
Ch09
 
Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013
 
Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013Dsp lab _eec-652__vi_sem_18012013
Dsp lab _eec-652__vi_sem_18012013
 
Matlab guide
Matlab guideMatlab guide
Matlab guide
 

More from matlab Content

C,C++ In Matlab
C,C++ In MatlabC,C++ In Matlab
C,C++ In Matlab
matlab Content
 
Matlab: Control Statements
Matlab: Control StatementsMatlab: Control Statements
Matlab: Control Statements
matlab Content
 
Matlab: Discrete Linear Systems
Matlab: Discrete Linear SystemsMatlab: Discrete Linear Systems
Matlab: Discrete Linear Systems
matlab Content
 
Matlab Distributions
Matlab DistributionsMatlab Distributions
Matlab Distributions
matlab Content
 
Matlab: Graph Plots
Matlab: Graph PlotsMatlab: Graph Plots
Matlab: Graph Plots
matlab Content
 
Matlab: Gui
Matlab: GuiMatlab: Gui
Matlab: Gui
matlab Content
 
Matlab: Linear Methods, Quantiles
Matlab: Linear Methods, QuantilesMatlab: Linear Methods, Quantiles
Matlab: Linear Methods, Quantiles
matlab Content
 
Matlab Data And Statistics
Matlab Data And StatisticsMatlab Data And Statistics
Matlab Data And Statistics
matlab Content
 
Matlab Feature Extraction Using Segmentation And Edge Detection
Matlab Feature Extraction Using Segmentation And Edge DetectionMatlab Feature Extraction Using Segmentation And Edge Detection
Matlab Feature Extraction Using Segmentation And Edge Detection
matlab Content
 
Matlab Image Enhancement Techniques
Matlab Image Enhancement TechniquesMatlab Image Enhancement Techniques
Matlab Image Enhancement Techniques
matlab Content
 
Matlab Image Restoration Techniques
Matlab Image Restoration TechniquesMatlab Image Restoration Techniques
Matlab Image Restoration Techniques
matlab Content
 
Matlab Importing Data
Matlab Importing DataMatlab Importing Data
Matlab Importing Data
matlab Content
 
Matlab Organizing Data
Matlab Organizing DataMatlab Organizing Data
Matlab Organizing Data
matlab Content
 
Matlab Text Files
Matlab Text FilesMatlab Text Files
Matlab Text Files
matlab Content
 
Matlab Visualizing Data
Matlab Visualizing DataMatlab Visualizing Data
Matlab Visualizing Data
matlab Content
 
Matlab Working With Images
Matlab Working With ImagesMatlab Working With Images
Matlab Working With Images
matlab Content
 
Matlab: Non Linear Methods
Matlab: Non Linear MethodsMatlab: Non Linear Methods
Matlab: Non Linear Methods
matlab Content
 
Matlab: Programming Environment
Matlab: Programming EnvironmentMatlab: Programming Environment
Matlab: Programming Environment
matlab Content
 
Matlab: Regression
Matlab: RegressionMatlab: Regression
Matlab: Regression
matlab Content
 
Matlab: Saving And Publishing
Matlab: Saving And PublishingMatlab: Saving And Publishing
Matlab: Saving And Publishing
matlab Content
 

More from matlab Content (20)

C,C++ In Matlab
C,C++ In MatlabC,C++ In Matlab
C,C++ In Matlab
 
Matlab: Control Statements
Matlab: Control StatementsMatlab: Control Statements
Matlab: Control Statements
 
Matlab: Discrete Linear Systems
Matlab: Discrete Linear SystemsMatlab: Discrete Linear Systems
Matlab: Discrete Linear Systems
 
Matlab Distributions
Matlab DistributionsMatlab Distributions
Matlab Distributions
 
Matlab: Graph Plots
Matlab: Graph PlotsMatlab: Graph Plots
Matlab: Graph Plots
 
Matlab: Gui
Matlab: GuiMatlab: Gui
Matlab: Gui
 
Matlab: Linear Methods, Quantiles
Matlab: Linear Methods, QuantilesMatlab: Linear Methods, Quantiles
Matlab: Linear Methods, Quantiles
 
Matlab Data And Statistics
Matlab Data And StatisticsMatlab Data And Statistics
Matlab Data And Statistics
 
Matlab Feature Extraction Using Segmentation And Edge Detection
Matlab Feature Extraction Using Segmentation And Edge DetectionMatlab Feature Extraction Using Segmentation And Edge Detection
Matlab Feature Extraction Using Segmentation And Edge Detection
 
Matlab Image Enhancement Techniques
Matlab Image Enhancement TechniquesMatlab Image Enhancement Techniques
Matlab Image Enhancement Techniques
 
Matlab Image Restoration Techniques
Matlab Image Restoration TechniquesMatlab Image Restoration Techniques
Matlab Image Restoration Techniques
 
Matlab Importing Data
Matlab Importing DataMatlab Importing Data
Matlab Importing Data
 
Matlab Organizing Data
Matlab Organizing DataMatlab Organizing Data
Matlab Organizing Data
 
Matlab Text Files
Matlab Text FilesMatlab Text Files
Matlab Text Files
 
Matlab Visualizing Data
Matlab Visualizing DataMatlab Visualizing Data
Matlab Visualizing Data
 
Matlab Working With Images
Matlab Working With ImagesMatlab Working With Images
Matlab Working With Images
 
Matlab: Non Linear Methods
Matlab: Non Linear MethodsMatlab: Non Linear Methods
Matlab: Non Linear Methods
 
Matlab: Programming Environment
Matlab: Programming EnvironmentMatlab: Programming Environment
Matlab: Programming Environment
 
Matlab: Regression
Matlab: RegressionMatlab: Regression
Matlab: Regression
 
Matlab: Saving And Publishing
Matlab: Saving And PublishingMatlab: Saving And Publishing
Matlab: Saving And Publishing
 

Recently uploaded

FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
nkrafacyberclub
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 

Recently uploaded (20)

FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 

Matlab: Procedures And Functions

  • 2. Script files Script files, also called M- files as they have extension .m, make MATLAB programming much more efficient than entering individual commands at the command prompt. A script file consists of MATLAB commands that together perform a specific task. The M-file is a text file which can be created and edited by any plain text editor like Notepad, emacs or the built-in MATLAB editor. 
  • 3. Script files Script files, also called M- files as they have extension .m, make MATLAB programming much more efficient than entering individual commands at the command prompt. A script file consists of MATLAB commands that together perform a specific task. The M-file is a text file which can be created and edited by any plain text editor like Notepad, emacs or the built-in MATLAB editor. 
  • 4. Script files Here’s an example of what a script file looks like:
  • 5.
  • 7.
  • 8. a = b + 1
  • 10. a = b - 1
  • 12.
  • 13. User Defined Functions An example of a function:
  • 14. String Handling Creating strings Strings are matrices with character elements. The simplest way to create a string is to use it on the left side of an equal sign where the right side of the equal sign is an expression that evaluates to a string. String constants (literals) are enclosed in single quotes. The following example shows how to create string variables. >> first = 'John'; >> last = 'Coltrane'; >> name = [first,' ',last]
  • 15. String Handling >> string='This is a string‘ >> string(3) % gives the third element in the variable words. ans = i >> string(2)='t' % replaces the second element in the vector with t.
  • 16. String Handling >> Y= input('Please type something here: ','s'); % Matlab expects a number, string or a matrix from the keyboard. % The second argument says the returned variable should be a string. >> disp('The name is: '), disp(x) % gives text as output and the value of x.
  • 17. String Handling Also, different formats can be converted to ‘strings’ and vice verse. Here are some examples of functions that help in converting between different formats: int2str(n)  Converts an integer n to a string hex2num(hstr)  Converts hexadecimal number hstr to a float. hex2dec(hstr)  Converts hexadecimal string to decimal integer. dec2hex(n)  Converts decimal integer to hexadecimal string. bin2dec(str)  Converts binary string to decimal integer. mat2str(A,n)  Convert a 2-D matrix to a string in MATLAB syntax.
  • 18. String Handling There are several functions available to manipulate or fetch appropriate data from strings: blanks(n)  Gives a string with n blanks deblank(str)  Subtracts all blanks at the end of the string. lower(str)  All letters are changed to small. upper(str)  All letters are changed to capital. ischar(str)  If string contains character => gives 1 in return, 0 otherwise.
  • 19. String Handling There are several functions available to manipulate or fetch appropriate data from strings: isletter(str(i))  If element number i in the string is a letter=> gives one in return. isspace(str)  True for white space characters. strcmp(str1,str2)  returns 1 if strings S1 and S2 are the same and 0 otherwise. strcmpi(str1,str2)  returns 1 if strings S1 and S2 are the same except forcase and 0 otherwise.
  • 20. String Handling There are several functions available to manipulate or fetch appropriate data from strings: strfind(str1,str2)  returns the starting indices of any occurrences of the string str2 in the string str1. findstr(str1,str2)  returns the starting indices of any occurrences of the shorter of the two strings in the longer.
  • 21. Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net