From e07ad4b0a63054e181a0be9852f18f20aa41e5f3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Micha=EBl=20Baudin?= Date: Mon, 16 Feb 2009 15:41:54 +0100 Subject: Small fix in the introduction --- scilab_doc/scilabisnotnaive/introduction.tex | 5 ++++- scilab_doc/scilabisnotnaive/scilabisnotnaive.pdf | Bin 294290 -> 294439 bytes 2 files changed, 4 insertions(+), 1 deletion(-) (limited to 'scilab_doc') diff --git a/scilab_doc/scilabisnotnaive/introduction.tex b/scilab_doc/scilabisnotnaive/introduction.tex index a66ce2e..b697405 100644 --- a/scilab_doc/scilabisnotnaive/introduction.tex +++ b/scilab_doc/scilabisnotnaive/introduction.tex @@ -3,11 +3,14 @@ Scilab take cares with your numbers. While most mathematic books deals with exact formulas, Scilab uses algorithms which are specifically designed for -computers. +computers. The difficulty is generated by the fact that, while the mathematics treat with \emph{real} numbers, the computer deals with their \emph{floating point representations}. +This is the difference between the +\emph{naive}, mathematical, approach, and the \emph{numerical}, +floating-point aware, implementation. In this article, we will show examples of these problems by using the following theoric and experimental approach. diff --git a/scilab_doc/scilabisnotnaive/scilabisnotnaive.pdf b/scilab_doc/scilabisnotnaive/scilabisnotnaive.pdf index 1e41a48..511050a 100644 Binary files a/scilab_doc/scilabisnotnaive/scilabisnotnaive.pdf and b/scilab_doc/scilabisnotnaive/scilabisnotnaive.pdf differ -- cgit v1.1