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I need to learn how to compute the flux for sparse data.

I looked at the volumetric GPM data for precipitation and it does not look like a continuous function, rather it is sparse partitioned and distanced spread of regions of moisture.

So my previous work to compute the Laplacian might or might not apply.

I was wondering how one goes about mathematically computing the flux of sparse data.

Dara

## Comments

Kriging? http://en.wikipedia.org/wiki/Kriging

AKA Gaussian process regression and a form of geo-spatial interpolation

`Kriging? <http://en.wikipedia.org/wiki/Kriging> AKA Gaussian process regression and a form of geo-spatial interpolation`

thanx paul, I study this

`thanx paul, I study this`

Paul check out the NonlinearModelFit [ ] in Mathematica I think it is using the Gaussian process.

`Paul check out the NonlinearModelFit [ ] in Mathematica I think it is using the Gaussian process.`

Dara, I am using these options for NonLinearModelFit :

Method -> "NMinimize"

Method -> "Differential Evolution"

`Dara, I am using these options for NonLinearModelFit : Method -> "NMinimize" Method -> "Differential Evolution"`

You are a genius Paul.

Paul Mathematica's Differential Evolution is not parallelized, I want to write a version in C that is parallelized in GPU servers.

Dara

`You are a genius Paul. Paul Mathematica's Differential Evolution is not parallelized, I want to write a version in C that is parallelized in GPU servers. Dara`

Dara, I still do not know if the Eureqa tool I occasionally use incorporates Differential Evolution, but it certainly does use all 8 of the CPU's when it is running.

Paul

`Dara, I still do not know if the Eureqa tool I occasionally use incorporates Differential Evolution, but it certainly does use all 8 of the CPU's when it is running. Paul`