If this is a bit fixed on scilab 5, and/or can we have a recompiled version
or version 5 on lenny?(first one more possible)
--A = [ 1 2 0 0 1; 2 0 1 0 2; 3 2 1 -1 4]
A =
1.2.0.0.1.
2.0.1.0.2.
3.2.1. - 1.4.
--R = rref(A)
R =
1.0.0.5 0.2.
0.1. - 0.250.2.776D-17
0.0.0. 1. - 2.
--C
--A = [ 1 2 0 0 1; 2 0 1 0 2; 3 2 1 -1 4]
A =
1.2.0.0.1.
2.0.1.0.2.
3.2.1. - 1.4.
--R = rref(A)
R =
1.0.0.5 0.2.
0.1. - 0.250.2.776D-17
0.0.0. 1. - 2.
Hi,
Sylvestre Ledru [EMAIL PROTECTED] (2008-09-22 14:45:50) :
--A = [ 1 2 0 0 1; 2 0 1 0 2; 3 2 1 -1 4]
A =
1.2.0.0.1.
2.0.1.0.2.
3.2.1. - 1.4.
--R = rref(A)
R =
1.0.0.5 0.2.
Sylvestre Ledru wrote:
--A = [ 1 2 0 0 1; 2 0 1 0 2; 3 2 1 -1 4]
A =
1.2.0.0.1.
2.0.1.0.2.
3.2.1. - 1.4.
--R = rref(A)
R =
1.0.0.5 0.2.
0.1. - 0.250.2.776D-17
0.0.0.
Hi Sylvestre,
Sylvestre Ledru [EMAIL PROTECTED] (2008-09-20 00:39:49) :
tags 499565 + pending
thanks
u should be the 3x3 identity matrix, and so u(2,2) should be 1 not 2.
I confirm that Scilab 4.X has some issues with 64 bits CPU.
This is huge miscalculations. Do you consider Scilab 4.X
Package: scilab
Version: 4.1.2-6
Severity: normal
File: /usr/bin/scilab
*** Please type your report below this line ***
When using Scilab-4.1.2 in a amd64 system some basic matrix computations give
incorrect results. (When doing the same computations in a virtual machine
running 32 bit Ubuntu
tags 499565 + pending
thanks
Hello,
u should be the 3x3 identity matrix, and so u(2,2) should be 1 not 2.
I confirm that Scilab 4.X has some issues with 64 bits CPU.
The version 5.0 fixes most of these issues (and I confirm that this bug
does not occurs with a Scilab 5).
Sylvestre
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