bigGP (version 0.1.8)

collectDiagonal: Return the Diagonal of a Distributed Square Matrix to the Master Process

Description

collectDiagonal retrieves the diagonal elements of a distributed square matrix from the slave processes in the proper order. Values can be copied from objects in environments, lists, and ReferenceClass objects as well as the global environment on the slave processes.

Usage

collectDiagonal(objName, objPos = '.GlobalEnv', n, h = 1)

Value

collectDiagonal returns a vector of length \(n\).

Arguments

objName

an object name, given as a character string, giving the name of the matrix on the slave processes.

objPos

where to look for the matrix, given as a character string (unlike get). This can indicate an environment, a list, or a ReferenceClass object.

n

a positive integer, the number of rows (and columns) of the matrix.

h

a positive integer, the block replication factor, \(h\), relevant for the matrix.

See Also

pull collectVector collectTriangularMatrix collectRectangularMatrix distributeVector

Examples

if (FALSE) {
if(require(fields)) {
nProc <- 3
n <- nrow(SN2011fe_subset)
inputs <- c(as.list(SN2011fe_subset), as.list(SN2011fe_newdata_subset),
  nu =2)
# initialize the problem
prob <- krigeProblem$new("prob", h_n = 1, numProcesses = nProc, n = n,
  meanFunction = SN2011fe_meanfunc, covFunction = SN2011fe_covfunc,
  inputs = inputs, params = SN2011fe_mle$par,
  data = SN2011fe_subset$flux, packages = c("fields"))
# calculate log density, primarily so Cholesky gets calculated
prob$calcLogDens()
diagC <- collectDiagonal('C', "prob", n = n, h = 1)
diagL <- collectDiagonal('L', "prob", n = n, h = 1)
diagC[1:5]
diagL[1:5]
}
}