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SCILAB: A Practical Introduction to Programming and Problem Solving

Posted By: AlenMiler
SCILAB: A Practical Introduction to Programming and Problem Solving

SCILAB: A Practical Introduction to Programming and Problem Solving by Tejas Sheth
English | 25 Aug 2016 | ASIN: B01L1R0IIE | 243 Pages | PDF (True) | 21.56 MB

Scilab is open source software distributed under CeCILL license. Scilab is widely used in Engineering, Sciences and mathematics as a free tool. Scilab includes hundreds of mathematical functions. It has a high level programming language allowing access to advanced data structures, 2D and 3D graphical functions. Scilab is used as matrix laboratory.
Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit Scilab's extensive capabilities for tackling engineering problems.
The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept. In-depth coverage is given to input/output, data structure a topic fundamental to many engineering applications. Book introduce the numerical analysis. Books also show the capability of SCILAB in 2D and 3D plotting.
This book is based on the most recent version of Scilab (5.5) and a great deal of care has been put into communicating the best practices relevant to the current software. Scilab is available for Windows/ Mac and Linux but this book is written as platform independent.
• Presents programming concepts and Scilab built-in functions and developing scripts.
• Systematic, step-by-step approach, building on concepts throughout the book, facilitating easier learning
• Sections on common pitfalls and programming guidelines direct students towards best practice

The books is 238 pages with the ten different chapter like
1. Scilab: An Introduction
2. Arrays: Vector Matrix
3. Mathematical Operation with Arrays
4. Using Script Files and Managing Data
5. Two-Dimensional Plots
6. Programming in Scilab
7. User-Defined Function and Function Library
8. Polynomials, Curve Fittings, and Interpolation
9. Application in Numerical Analysis
10. Three-Dimensional Plots.
A-1 XCOS
A-2 ATOMS