<s>
optiSLang	B-Language
is	O
a	O
software	O
platform	O
for	O
CAE-based	O
sensitivity	O
analysis	O
,	O
multi-disciplinary	O
optimization	O
(	O
MDO	O
)	O
and	O
robustness	O
evaluation	O
.	O
</s>
<s>
In	O
2019	O
,	O
Dynardo	O
GmbH	O
was	O
acquired	O
by	O
Ansys	B-Application
.	O
</s>
<s>
These	O
errors	O
are	O
estimated	O
based	O
on	O
cross	B-Application
validation	I-Application
.	O
</s>
<s>
In	O
the	O
cross	B-Application
validation	I-Application
procedure	O
,	O
the	O
set	O
of	O
support	O
points	O
is	O
mapped	O
to	O
subsets	O
.	O
</s>
<s>
In	O
optiSLang	B-Language
,	O
random	O
sampling	O
methods	O
are	O
used	O
to	O
generate	O
discrete	O
samples	O
of	O
the	O
joined	O
probability	O
density	O
function	O
of	O
the	O
given	O
random	O
variables	O
.	O
</s>
<s>
optiSLang	B-Language
is	O
designed	O
to	O
use	O
several	O
solvers	O
to	O
investigate	O
mechanical	O
,	O
mathematical	O
,	O
technical	O
and	O
any	O
other	O
quantifiable	O
problems	O
.	O
</s>
<s>
Herein	O
optiSLang	B-Language
provides	O
direct	O
interfaces	O
for	O
external	O
programs	O
:	O
</s>
<s>
Since	O
the	O
1980s	O
,	O
research	O
teams	O
at	O
the	O
University	O
of	O
Innsbruck	O
and	O
Bauhaus-Universität	O
Weimar	O
had	O
been	O
developing	O
algorithms	O
for	O
optimization	O
and	O
reliability	O
analysis	O
in	O
conjunction	O
with	O
finite	B-Application
element	I-Application
simulations	O
.	O
</s>
<s>
Based	O
on	O
SLang	O
,	O
the	O
software	O
optiSLang	B-Language
was	O
launched	O
as	O
an	O
industrial	O
solution	O
for	O
CAE-based	O
sensitivity	O
analysis	O
,	O
optimization	O
,	O
robustness	O
evaluation	O
and	O
reliability	O
analysis	O
.	O
</s>
<s>
In	O
2013	O
,	O
the	O
current	O
version	O
optiSLang	B-Language
4	O
was	O
completely	O
restructured	O
with	O
a	O
new	O
graphical	O
user	O
interface	O
and	O
extended	O
interfaces	O
to	O
external	O
CAE	O
processes	O
.	O
</s>
