calcD

<code>calcD</code> is an internal auxiliary function that calculates the
 partition factor, \(D\), based on the number of slave processes, \(P\).

Distributes Gaussian process calculations across nodes
in a distributed memory setting, using Rmpi. The bigGP class
provides high-level methods for maximum likelihood with normal data,
prediction, calculation of uncertainty (i.e., posterior covariance
calculations), and simulation of realizations. In addition, bigGP
provides an API for basic matrix calculations with distributed
covariance matrices, including Cholesky decomposition, back/forwardsolve,
crossproduct, and matrix multiplication.

Christopher Paciorek

bigGP

Distributed Gaussian Process Calculations

Benjamin Lipshitz

 Prabhat

Cari Kaufman

Tina Zhuo

Rollin Thomas

calcD function

<dl> <dt>P</dt>
<dd>a positive integer, the number of slave processes.</dd></dl>

Arguments

Calculate Partition Factor — calcD

<dl>

 <dt>P</dt>
<dd>a positive integer, the number of slave processes.</dd>

</dl>

calcD: Calculate Partition Factor

Description

Usage

Arguments