responsabity
De : users De la part de Samuel Gougeon
Envoyé : mercredi 20 mai 2020 16:50
À : users@lists.scilab.org
Objet : Re: [Scilab-users] Scilab 6.1 too slow to list large vectors
Le 30/03/2020 à 11:56, Federico Miyara a écrit :
Dear All,
I have observed that Scilab 6.1 seems
Le 30/03/2020 à 11:56, Federico Miyara a écrit :
Dear All,
I have observed that Scilab 6.1 seems to have a regression respect to
6.0.2. Sometimes one forgets to put semicolon after the coputation of
a vector with tens of thousands components. Scilab 6.0.2 listed all
the components very
On my iMac macOS Catalina 10.15.3
Processor Name:Quad-Core Intel Core i7
Processor Speed: 3.1 GHz
Darwin Kernel Version 19.3.0: Thu Jan 9 20:58:23 PST 2020;
root:xnu-6153.81.5~1/RELEASE_X86_64 x86_64
Should anybody be interested
Heinz
2.107417
0.564745
tic
u = u(:)
Stéphane,
I simplified and diversified the test:
tic
u = rand(100,1000)
toc
takes
16 s in 6.1
10 s in 6.0.2
tic
u = u(:)'
toc
takes
66 s in 6.1
1.29 s in 6.0.2
tic
u = u(:)
toc
takes
107 s in 6.1
1.52 s in 6.0.2
tic
u = matrix(u,1000,100)
toc
takes
16 s in 6.1
10 s in 6.0.2
tic
u =
Hi Frederico,
Thanks for reporting. Can you test if the regression also holds for
matrices ?
S.
Le 30/03/2020 à 11:56, Federico Miyara a écrit :
Fs = 44100
T = 2.5
t = [0:T*Fs]/Fs;
ximp = exp(-t/0.3).*rand(t,"normal") + 0.004*rand(t,"normal");
tic
ximp = ximp(:)
toc
--
Dear All,
I have observed that Scilab 6.1 seems to have a regression respect to
6.0.2. Sometimes one forgets to put semicolon after the coputation of a
vector with tens of thousands components. Scilab 6.0.2 listed all the
components very fast. That was nice because one hadn't to cancel the
