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Scilab
This page is for Scilab Documentation. Files are primarily chapters from "Numerical and Statistical Methods with SCILAB for Science and Engineering" (Volumes 1 and 2) by Gilberto Urroz which can be purchased at Amazon.com at the links below.
Introduction to Scilab This document contains introductory material for the free mathematical software, SCILAB. It is intended to get the user started using SCILAB through simple exercises in numerical calculations. Comparison of SCILAB Syntax and Functions to MATLAB This document compares the syntax of the free mathematical software, SCILAB, to that of MATLAB® . MATLAB® users can use this guide to familiarize themselves with SCILAB. Programming with SCILAB This document describes programming syntax for the free mathematical software, SCILAB. Programming is the basic skill for implementing numerical methods. In this chapter we describe the fundamental programming constructs used in SCILAB and present examples of their applications to some elementary numerical methods. The second part of this chapter is dedicated to exploring input/output functions provided by SCILAB including operations with files. Finally, manipulation of strings in SCILAB is presented. Matrix Applications with SCILAB This document describes the use of the free mathematical software, SCILAB, to solve some problems involving applications of matrices in the physical sciences. Applications of Non-linear Equations with SCILAB This document describes the use of the free mathematical software, SCILAB, to solve non-linear equations that arise from applications in the physical sciences with a focus on hydraulic applications. Optimization Techniques with SCILAB This document describes the use of the free mathematical software, SCILAB, to solve optimization problems. The objective of optimization techniques is to determine the values of the independent variables that minimize or maximize a function (known, in general, as the objective function) subject to a number of constraints. Techniques presented in this chapter include graphic approach for functions of two variables, linear programming, quadratic programming, and general non-linear programming. Basic Statistics and Probability with SCILAB This document describes the use of the free mathematical software, SCILAB, to solve basic statistical problems. Time Series and Spatial Data Analysis with SCILAB This document describes the application of the free mathematical software, SCILAB, to perform time series and spatial data analysis. In this chapter we present the subjects of time series and spatial data, aspects of statistical analysis of interest in hydrology, geology, and other Earth sciences. The subject of time series is of interest in the analysis of time-dependent phenomenon such as temperature variations in the atmosphere or the ocean, precipitation, economic patterns, transportation volumes in highways and airports, and even TV ratings. Spatial data and geostatistics involve the application of selected statistical techniques to data with spatial distributions, such as vegetation patterns in selected basins, spatial precipitation patterns, aquifer properties, etc. Created by: admin last modification: Saturday 27 of March, 2010 [03:40:00 UTC] by admin |
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