Scilab - Revision history

PoojaMoolya: /* Basic Level Introduction to Scilab */

2020-10-21T10:11:25Z

‎Basic Level Introduction to Scilab

PoojaMoolya: /* Advanced Level Scilab */

2020-10-21T10:10:47Z

‎Advanced Level Scilab

PoojaMoolya at 06:55, 6 May 2019

2019-05-06T06:55:45Z

Nancyvarkey at 01:55, 27 March 2018

2018-03-27T01:55:59Z

Nancyvarkey at 09:25, 31 July 2017

2017-07-31T09:25:31Z

PoojaMoolya: /* Basic Level Introduction to Scilab */

2015-06-11T06:28:10Z

‎Basic Level Introduction to Scilab

Pratik kamble at 11:42, 18 December 2014

2014-12-18T11:42:26Z

Pratik kamble at 11:41, 18 December 2014

2014-12-18T11:41:30Z

Pratik kamble at 10:53, 18 December 2014

2014-12-18T10:53:36Z

Pratik kamble at 10:36, 18 December 2014

2014-12-18T10:36:32Z

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 This level will include a set of tutorials that are required to be known in order to qualify as "Scilab Literate". The tutorials here will teach programming <span class="plainlinks">[http://www.bestpills4weightloss.com/ <span style="color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;">weight loss pills</span>]
 fundamentals and the most commonly used Scilab functionality- Matrix operations and Plotting.
 #  '''Installing'''
 #* Show where to download from and how to decide which version to choose

← Older revision		Revision as of 10:10, 21 October 2020
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	#* Use of MUX block		#* Use of MUX block
	#* Call functions having multiple inputs and output		#* Call functions having multiple inputs and output
		+	#Simulating a PID controller using XCOS
		+	#* Modifying firstorder.xcos file to implement a PID controller
		+	#* Closing the loop
		+	#* Setting PID gains and observing its response
		+	#* Plotting the required data
		+	#Developing Scilab Toolbox for calling external C libraries
		+	#* Compiling an external C library
		+	#* Generating shared library
		+	#* Copying the shared library to Scilab Toolbox
		+	#* Interfacing the shared library with Scilab
		+	#* Understanding the important code sections for interfacing
		+	#* Building a Scilab Toolbox using this library
		+	#* Loading the toolbox
		+	#* Executing an example in help
		+	#* Verification of results
		+	#* Understanding how to write Help for Toolbox functions
		+	# Developing Scilab Toolbox for calling Python and its functions
		+	#* About Scithon toolbox
		+	#* About header folder
		+	#* Interfacing between Scilab and Python
		+	#* Files used for starting the python instance and overloaded virtual functions
		+	#* Links to understand the code inside the PyVar.CPP file
		+	#* About Builder script of scithon toolbox
		+	#* About Gateway functions
		+	#* How to build a toolbox
		+	#* How to load a toolbox
		+	#* Demo on how to execute the python functions in Scilab

← Older revision		Revision as of 06:55, 6 May 2019
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	IIT Bombay is using Spoken Tutorials (http://spoken-tutorial.org) to create learning material for FOSS. This is the main page for the organisation of the scripts required for Scilab spoken tutorials. We invite the Scilab user community to participate in this activity.		IIT Bombay is using Spoken Tutorials (http://spoken-tutorial.org) to create learning material for FOSS. This is the main page for the organisation of the scripts required for Scilab spoken tutorials. We invite the Scilab user community to participate in this activity.
		+
		+	'''Learners''': All Science and Engineering Students.

@@ Line 1: / Line 1: @@
-{{Spoken Tutorial Banner}}
+'''Scilab''' (http://scilab.org, http://scilab.in) is an open source scientific software package for numerical computations.  It has an extremely reliable and efficiently coded numerical library.  It is also a high productivity tool: Through its interpreted language, one can quickly develop the code required to solve problems.  Typically, if it takes ten lines of C code for some calculation, Scilab would require only one for the same purpose.
-Scilab (http://scilab.org, http://scilab.in, http://scilab.cn) is an open source scientific software package for numerical computations.  It has an extremely reliable and efficiently coded numerical library.  It is also a high productivity tool: Through its interpreted language, one can quickly develop the code required to solve problems.  Typically, if it takes ten lines of C code for some calculation, Scilab would require only one for the same purpose.
 Scilab runs on all popular operating systems.  Since 1994, it has been distributed freely along with the source code via the Internet.  It is useful for students at school, college and <span class="plainlinks">[http://www.netlook.com.br/ <span style="color:black;font-weight:normal; text-decoration:none!important; background:none!important; text-decoration:none;">roupas da moda</span>] research level.  It is also useful for researchers and professionals.
-IIT Bombay is leading the effort to popularise Scilab in India.  This is part of the Free and Open source Software for Science and Engineering Education (FOSSEE) project, supported by the National Mission on Education through ICT of MHRD (http://spoken-tutorial.org/NMEICT-Intro).
+IIT Bombay is leading the effort to popularise Scilab in India.  This is part of the Free and Open source Software for Science and Engineering Education (FOSSEE) project, supported by the National Mission on Education through ICT of MHRD.
 IIT Bombay is using Spoken Tutorials (http://spoken-tutorial.org) to create learning material for FOSS.  This is the main page for the organisation of the scripts required for Scilab spoken tutorials.  We invite the Scilab user community to participate in this activity.
@@ Line 12: / Line 11: @@
 <blockquote style="background-color: lemonchiffon; border: solid thin grey;">
-The Spoken Tutorial Effort for Scilab is being contributed by Shalini Shrivastava, Rupak Rokade, Anuradha Amruthkar, Manas Ranjan Das, Mukul Kulkarni, Shamika Mohanan, Lavitha Pereira from IIT Bombay
+The Spoken Tutorial Effort for Scilab is being contributed by Shalini Shrivastava, Rupak Rokade, Anuradha Amruthkar, Manas Ranjan Das, Mukul Kulkarni, Shamika Mohanan, Lavitha Pereira from IIT Bombay.
 </blockquote>

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 #*Perform elementary row operations.
 #*Solve the system of linear equations.
 #''' Conditional Branching'''
 #*'if' and 'then' with the example
@@ Line 72: / Line 67: @@
 #* Explain while condition.
 #* Give example: i = 0; while(i <=5), i = i + 1; d
 # ''' Plotting 2D graphs'''
 #* About linspace: linspace is a linearly spaced vector.
@@ Line 135: / Line 135: @@
 #* About Optimization
 #* Use of Scilab function Karmarkar in Optimization
 #'''Digital Signal Processing'''
 #* Plotting continuous and discrete sine wave.
 #* Plotting step function.
 #* Plotting ramp function.
 # '''Control systems'''
 #*Define a continuous time system: second and higher order

@@ Line 118: / Line 118: @@
 #*Learn how Gauss Seidel method is faster than Jacobi method
 #*Develop Scilab code for these two methods to solve linear equations
-#*'''Numerical methods-  Interpolation'''
+#'''Numerical methods-  Interpolation'''
 #*Develop Scilab code for different Numerical Interpolation algorithms
 #*Calculate new value of function from given data points

@@ Line 74: / Line 74: @@
 #* Plot a simple graph: x=linspace(12,34,10), y=linspace(-.1,2,10), plot(x,y)
 #* plot2d
-#* Using clf() clear the graphic window.
+#* Use of "clf()".
 #* Configure the title for the plot
 #* Configure a legend
 #* Divide a graphic window into a matrix of sub-windows using subplot(mnp)
 #''' Xcos introduction'''
 ==Advanced Level Scilab==
@@ Line 96: / Line 102: @@
 #* Apply the algorithm to each interval
 #* Calculate the composite value of the integral
-# '''Numerical methods- Solving Non- linear Equation'''s
+# '''Numerical methods- Solving Non- linear Equations'''
 # '''Numerical methods- Gaussian Methods'''
 #* Explain Gauss Elimination method algorithm
@@ Line 103: / Line 113: @@
 #* Explain code for Gauss Jordan method and solve an example using this code
 # '''Numerical methods-  Iterative Methods'''
 #*Solve system of linear equations using iterative methods
-#*Develop Scilab code to solve linear equations
+#*Use Jacobi and Gauss Seidel iterative methods
-# '''Numerical methods-  Interpolation'''
+#*Learn how to iterate until we converge at the solution
 # '''Numerical methods- ODE- Euler methods'''
 # '''Numerical methods- ODE- Applications'''
 # ''' Optimization Using Karmarkar Functions'''
 #* About Optimization
@@ Line 128: / Line 150: @@
 #*Plot poles and zeros of function
 # '''Discrete systems'''
 #  '''Calling User Defined Functions in XCOS'''
 #* Write a squaring function

@@ Line 59: / Line 59: @@
 #*Inline functions.
 #''' Conditional Branching'''
-#* Explain booleans: %T(True) and %F(False)- they form the basis for the if statement.
+#*'if' and 'then' with the example
-#* First explain 'if' and 'then' with the example
+#*use of the 'else' keyword
-#* Now explain the use of the 'else' keyword
+#*use of the 'elseif' keyword
-#* Now explain the use of the 'elseif' keyword
+#*example for select
-#* Say that if there are several branches, it may be clearer to use the 'select' keyword.
-#* Give example for select
-#* Branching can be based on satisfaction of combination of multiple conditions as well
 #''' Iteration'''
 #* Explain syntax of 'for' statement- tell that the variable iterates over a list/vector/matrix (or an expression that evaluates to any of these).

@@ Line 54: / Line 54: @@
 #*Solve the system of linear equations.
 # '''Scripts and Functions'''
-#* Explain that one often repeats a set of commands- in which case it is helpful to save that set of commands for future or repeated use. The commands can be saved as scripts or functions.
+#*Introduction to the file formats in Scilab.
-#* Change directory to the desktop. Open the scilab editor and type the commands (each on a new line)
+#*SCRIPT files.
-#* Save the above file to the desktop. Then open the same file using a regular text editor such as notepad to show that it is indeed a text file. Now load the file into scilab using the scilab editor's execute menu option.
+#*sce versus .sci
-#* Change the value of a to 5 in the editor, save and close it. Now execute the script directly from the scilab interpreter using exec.
+#*Inline functions.
-#* Functions: Show the syntax of functions, explain the function keyword, input arguments and the structure of output arguments when there is more than one argument.
-#* Show the following function in the editor: .
-#* Inline functions.
-#* .sce versus .sci: These are just conventions.
 #''' Conditional Branching'''
 #* Explain booleans: %T(True) and %F(False)- they form the basis for the if statement.