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Mathematical and scientific calculation software, open source substitute for MATLAB, very useful for all science and engineering students, in academics particularly. Read more

About 28 results found.

1.Introduction to Scilab and its benefits

Foss : Scilab - English

Outline: What is FOSS? Why FOSS ? About Scilab and its benefits Scilab is reliable Use of Scilab in CNES Use of Scilab for space mission analysis and flight dynamics Industrial applic..

Basic 2.Self learning of Scilab through Spoken Tutorials

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Outline: About Spoken Tutorial Created for self learning Dubbed in all 22 languages Scilab spoken tutorials 25 spoken tutrials on Scilab Side by side learning Spoken tutorial used as ..

Basic 3.The amazing resource of Scilab Textbook Companion

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Outline: Opensource software problem, no good documentation for FLOSS Solution: Textbook companion project Scilab code for standard textbooks Demo of Textbook companion Download Scilab ..

Basic 4.Scilab Lab migration, Toolboxes and Forums

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Outline: Lab migration Demo of Lab migration on FOSSEE Scilab website Download PDF for lab solution Scilab Toolboxes FOSSEE Optimisation toolbox available on atoms website IEEE paper ..

Basic 5.Installing

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Outline: Installing Show where to download from and how to decide which version to choose (OS and 32/64bit) (www.scilab.org/download) Windows installation (Internet Connection i..

Basic 6.Getting Started

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Outline: Getting Started *Expressions: Show mathematical expressions with numbers *Variables *Diary command *Define symbolic constants. *Basic functions *suppressing output(;) *he..

Basic 7.Vector Operations

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Outline: Vector Operations *Define vector *Calculate length of a vector. *Perform mathematical operations on Vectors such as addition,subtraction and multiplication. *Define a matrix...

Basic 8.Matrix Operations

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Outline: Matrix Operations *Access the elements of Matrix *Determine the determinant, inverse and eigen values of a matrix. *Define special matrices. *Perform elementary row operation..

Basic 9.Conditional Branching

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Outline: Conditional Branching * 'if' and 'then' with the example * use of the 'else' keyword * use of the 'elseif' keyword * example for select

Basic 10.Iteration

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Outline: 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). Give example: ..

Basic 11.Scripts and Functions

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Outline: Scripts and Functions *Introduction to the file formats in Scilab. *SCRIPT files. *sce versus .sci *Inline functions.

Basic 12.Plotting 2D graphs

Foss : Scilab - English

Outline: Plotting 2D graphs About linspace: linspace is a linearly spaced vector. Plot a simple graph: x=linspace(12,34,10), y=linspace(-.1,2,10), plot(x,y) plot2d Using clf() clear..

Basic 13.Xcos Introduction

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Outline: Xcos Introduction What is XCOS. What is palette. To collect the blocks from the palette and connect them to construct the block diagram. Set the parameters of diﬀerent blocks..

Basic 14.File handling

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Outline: File Handling- Scilab File handling Writing to a file using write() Reading from a file using read() Opening an existing file using mopen() Closing an already opened file usi.. 15.User Defined Input and Output

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Outline: User Defined Input and Output in Scilab Input Function. mprintf() save() and load() Used to quit scilab midway through calculation and continue at later stage. 16.Integration

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Outline: *Develop Scilab code for different Composite *Numerical Integration algorithms *Divide the integral into equal intervals *Apply the algorithm to each interval *Calculate the com.. 17.Solving Non linear Equations

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Outline: Numerical methods- Solving Non- linear Equations Learn how to solve nonlinear equations using numerical methods Learn Bisection method Learn Secant method Learn h.. 18.Linear equations Gaussian Methods

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Outline: * Explain Gauss Elimination method algorithm * Explain code for Gauss Elimination method and solve an example using this code * Explain Gauss Jordan method algorithm .. 19.Linear equations Iterative Methods

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Outline: 1. Solve system of linear equations using iterative methods 2. Use Jacobi and Gauss Seidel iterative methods 3. Learn how to iterate until we converge at the solution 4. Learn h..  