mle_tlrR: Sets up the call to the mle_tlr() C language function...

In ecrc/exageostatR-dev: R package demonstrates the R / C Language interface for ExaGeoStat

Description

tlr_mle demonstrates the R / C language interface

Usage

tlr_mle(n,
		ncores,
		gpus,
		ts,
		p_grid,
		q_grid,
		x,
		y,
		z,
		clb,
		cub,
		tlr_acc,
		tlr_maxrank,
		dmetric)

Arguments

n	Integer - number of locations in the incoming data (real mode) or generated data (test mode)
ncores	Integer - CPU threads
gpus	Integer - GPU threads
ts	Integer - tile size
p_grid	Integer - (p,q) 2-D block-cyclic distribution grid
q_grid	Integer - (p,q) 2-D block-cyclic distribution grid
x	Double vector - x locations
y	Double vector - y locations
z	Double vector - z observations at (x, y)
clb	Double vector - optimizer lower bounds theta values
cub	Double vector - optimizer upper bounds theta values
tlr_acc	Integer - Tile LOw-Rank (TLR) compression accuracy
tlr_maxrank	Integer - Tile LOw-Rank (TLR) max rank
dmetric	String - "dm" or "gcd"

Value

Returned value: vector of three values (theta1, theta2, theta3)

theta_out

Double vector - theta_out

Author(s)

Sameh Abdulah, Postdoctoral Fellow, Extreme Computing and Research Center, KAUST [e-mail]

Examples

#
# inline call at R command line or in another R function:
# Provides function arguments for and calls the R exageostat__gen_zR() function.
#
#mle_tlr(n,
#               ncores,
#               gpus,
#               ts,
#               p_grid,
#		q_grid,
#		theta,
#		tlr_acc,
#		tlr_maxrank,
#		dmetric)

ecrc/exageostatR-dev documentation built on May 14, 2019, 3:06 a.m.