Programming in Scilab

Abstract

In this document, we present programming in Scilab. In the first part, we present the management of the memory of Scilab. In the second part, we present various data types and analyze programming methods associated with these data structures. In the third part, we present features to design flexible and robust functions. In the last part, we present methods which allow to achieve good performances. We emphasize the use of vectorized functions, which allow to get the best performances, based on calls to highly optimized numerical libraries. Many examples are provided, which allow to see the effectiveness of the methods that we present.

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Licence

This document is released under the terms of the Creative Commons Attribution-ShareAlike 3.0 Unported License :

http://creativecommons.org/licenses/by-sa/3.0/

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