Re: [Paraview] boolean mesh filtering

2017-11-20 Thread TJ Corona
Hi Jeffrey,

You may want to check out vtkBooleanOperationPolyDataFilter 
.
 It sounds like it may have the functionality you desire.

Sincerely,
T.J.

Thomas J. Corona, Ph.D.
Kitware, Inc.
Senior R&D Engineer
21 Corporate Drive
Clifton Park, NY 12065-8662
Phone: 518-881-4443

> On Nov 20, 2017, at 3:18 PM, Mauldin, Jeffrey A.  wrote:
> 
> I have a need to do a Boolean intersection of two unstructured multiblock 
> datasets.  It so happens in this case that the underlying element sets are 
> polygonal meshes, so in this particular case I could also do what I want with 
> a Boolean intersection of two polygonal meshes.  To be (hopefully) redundant, 
> I have two meshes which share some points and cells and each of which have 
> other points and cells which are not shared.  I would like a new mesh which 
> consists of all the points and cells that are in both of these meshes.  I 
> need this to work properly in parallel.
>  
> I know enough to create a python-based filter (python programmable filter) to 
> create this operation, but are there already existing Boolean mesh 
> operations, and if not would those be a useful thing to add?
>  
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Re: [Paraview] Correlation coefficient

2017-04-30 Thread TJ Corona
Hi Rupert,

The M-values refer to the moments 
 of the distribution. The 
first moment (mean ) and the second moment 
(variance ) can be used to compute the 
standard deviation, as Patrick described. Hope this helps!

Sincerely,
T.J.

Thomas J. Corona, Ph.D.
Kitware, Inc.
Senior R&D Engineer
21 Corporate Drive
Clifton Park, NY 12065-8662
Phone: 518-881-4443

> On Apr 29, 2017, at 3:40 PM, Patrick O'Leary  
> wrote:
> 
> standard deviation = sqrt(M2 - M1^2) where M1 is the mean.
> 
> I hope this helps.
> Patrick
> 
> On Sat, Apr 29, 2017 at 12:18 PM Rupert Gladstone 
> mailto:rupertgladstone1...@gmail.com>> wrote:
> Hi, I'd like to calculate a correlation coefficient between two variables in 
> a vtu data set.  I am not experienced with statistics but the Pearson 
> correlation coefficient looks suitable.  So I just need the covariance and 
> standard deviations.  
> 
> The Paraview Multicorrelative Statistics filter seems to give the covariance, 
> but I can't find a filter that gives the standard deviation.  The Descriptive 
> Statistics filter is supposed to give standard deviation according to the 
> documentation, but I am not getting it when I run the filter.  I am referring 
> to this documentation:
> http://www.paraview.org/Wiki/Statistical_analysis 
> 
> 
> I am currently running both paraview 4.0.1 and 5.0.0.  They give slightly 
> different outputs from the statistics filters, but neither gives me the 
> standard deviation (unless it is hidden in M2, M3 or M4?  I don't know what 
> these are).
> 
> Can anyone help with either my lack of standard deviation or an alternative 
> way to calculate a correlation coefficient?
> 
> Thanks,
> Rupert Gladstone
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Re: [Paraview] How to increase render quality for exodus mesh file

2017-02-21 Thread TJ Corona
Hi Florian,

Would you be able to send a representative data file (either .vtu or .exo) 
along with the image?

Sincerely,
T.J.

Thomas J. Corona, Ph.D.
Kitware, Inc.
R&D Engineer
21 Corporate Drive
Clifton Park, NY 12065-8662
Phone: 518-881-4443

> On Feb 21, 2017, at 8:20 AM, Konrad, Florian  wrote:
> 
> Hello everyone,
> I have a result of a numerical simulation saved in an exodus-file. This file 
> contains an unstructured mesh made of tetrahedral elements and the simulation 
> results as elemental or nodal values.
> My problem is that the quality of the visualization of my exodus file is not 
> the best. As you can see in the following screenshot the edges of the 
> features look really bad. http://imgur.com/a/SBT4r 
> Is there a way to increase the quality somewhere or does somebody know why it 
> looks like this? The quality of the edges seems to be related to the angle in 
> which I view them.
> Greetings
> Florian
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