File: t_RandomVector_distribution.expout

package info (click to toggle)
openturns 1.26-4
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 67,708 kB
  • sloc: cpp: 261,605; python: 67,030; ansic: 4,378; javascript: 406; sh: 185; xml: 164; makefile: 101
file content (7 lines) | stat: -rw-r--r-- 1,099 bytes parent folder | download | duplicates (3) 
1
2
3
4
5
6
7
 
distribution = class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
vect=class=RandomVector implementation=class=UsualRandomVector distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
vect dimension=1
vect realization (first )=class=Point name=Unnamed dimension=1 values=[1.6082]
vect realization (second)=class=Point name=Unnamed dimension=1 values=[-0.266173]
vect realization (third )=class=Point name=Unnamed dimension=1 values=[0.561734]
vect sample =class=Sample name=Normal implementation=class=SampleImplementation name=Normal size=5 dimension=1 description=[X0] data=[[2.20548],[-1.18139],[1.35004],[0.644993],[2.43725]]