localKrigeProblemConstructMean

localKrigeProblemConstructCov

<code>localKrigeProblemConstructMean</code> and
 <code>localKrigeProblemConstructCov</code> are internal wrapper functions
 for calculating a mean vector or covariance matrix on the slave
 processes. They are called by member functions of the <code>krigeProblem</code> ReferenceClass.

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

localKrigeProblemConstructMean function

<dl> <dt>problemName</dt>
<dd>name of the problem as a character string.</dd> <dt>obs</dt>
<dd>logical, whether to compute the mean or covariance for the
 observation locations.</dd> <dt>pred</dt>
<dd>logical, whether to compute the mean or covariance for the
 prediction locations.</dd> <dt>cross</dt>
<dd>logical, whether to compute the cross-covariance.</dd> </dl>

Arguments

Calculate Mean Vector or Covariance Matrix on Slave Process — localKrigeProblemConstructMean

<dl>

 <dt>problemName</dt>
<dd>name of the problem as a character string.</dd>

 <dt>obs</dt>
<dd>logical, whether to compute the mean or covariance for the
 observation locations.</dd>

 <dt>pred</dt>
<dd>logical, whether to compute the mean or covariance for the
 prediction locations.</dd>

 <dt>cross</dt>
<dd>logical, whether to compute the cross-covariance.</dd>

 </dl>

localKrigeProblemConstructMean: Calculate Mean Vector or Covariance Matrix on Slave Process

Description

Usage

Arguments

See Also