<code>remoteGetIndices</code> determines the indices of the subset of a
  matrix or vector that are stored on each process.

remoteGetIndices

bigGP distributes Gaussian process calculations across
        nodes in a distributed memory setting, using Rmpi. The 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.

remoteGetIndices: Determine Indices of Vector or Matrix Elements Stored on all Processes

Description

Usage

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Details