sim_deep_mra: Simulate deep MRA

In jtipton25/sgMRA: Multi-Resolution Gaussian Process Approximations with Stochastic Gradient Descent

Simulate deep MRA

Description

Simulate deep MRA

Usage

sim_deep_mra(
  N = 100^2,
  M = 1,
  n_coarse_grid = 20,
  n_layers = 3,
  sigma = 0.25,
  use_spam = FALSE,
  ncores = 1L,
  nchunks = NULL
)

Arguments

N	The number of locations
M	The number of resolutions in the MRA approximation to the Gaussian process
n_coarse_grid	The number of grid locations in the coarsest resolution of the MRA approximation to the Gaussian process
n_layers	The number of layers in the deep process
sigma	The observation standard deviation
use_spam	A logical value of whether to use the spam library (use_spam=TRUE) or the Matrix library (use_spam=FALSE) for sparse matrix calculations
ncores	The number of cores to use for parallelization
nchunks	The number of chunks to divide the distance calculation into. The default argument of NULL will use the same number of chunks as the number of cores.

jtipton25/sgMRA documentation built on Feb. 9, 2023, 4:53 a.m.