# # Copyright (C) 2012 - 2013 Douglas Bates, Dirk Eddelbuettel and Romain Francois # # This file is part of RcppEigen. # # RcppEigen is free software: you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 2 of the License, or # (at your option) any later version. # # RcppEigen is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Rcpp. If not, see . incl <- ' typedef Eigen::ArrayXd Ar1; typedef Eigen::Map MAr1; typedef Eigen::ArrayXXd Ar2; typedef Eigen::Map MAr2; typedef Eigen::MatrixXd Mat; typedef Eigen::Map MMat; typedef Eigen::VectorXd Vec; typedef Eigen::Map MVec; typedef Eigen::PartialPivLU PPLU; typedef Eigen::ColPivHouseholderQR CPQR; ' definitions <- list( "dense_PPLU" = list(signature(A_="matrix", b_="numeric"), ' MMat A(as(A_)); MVec b(as(b_)); PPLU lu(A); Mat Ainv(lu.inverse()); Vec x(lu.solve(b)); return List::create(Named("A", A), Named("Ainv", Ainv), Named("b", b), Named("x", x)); '), "dense_CPQR" = list(signature(A_="matrix", b_="numeric"), ' MMat A(as(A_)); MVec b(as(b_)); CPQR qr(A); Mat Ainv(qr.inverse()); Vec x(qr.solve(b)); return List::create(Named("Ainv", Ainv), Named("x", x)); ') ) .setUp <- function() { suppressMessages(require(inline)) suppressMessages(require(RcppEigen)) cxxargs <- ifelse(Rcpp:::capabilities()[["initializer lists"]], "-std=c++0x","") tests <- ".rcppeigen.solve" if( ! exists( tests, globalenv() )) { fun <- RcppEigen:::compile_unit_tests(definitions, includes=incl, cxxargs = cxxargs) names(fun) <- names(definitions) assign( tests, fun, globalenv() ) } } test.smallDense <- function() { A <- matrix(c(1,2,3,4), nrow=2L) B <- matrix(c(5,6,7,8), nrow=2L) b <- c(1,1) ## solutions to dense systems res <- .rcppeigen.solve$dense_PPLU(A, b) checkEquals(res$Ainv, solve(A)) checkEquals(res$x, solve(A, b)) res <- .rcppeigen.solve$dense_CPQR(A, b) checkEquals(res$Ainv, solve(A)) checkEquals(res$x, solve(A, b)) } test.largeDense <- function() { set.seed(1234321) N <- 100L AA <- matrix(rnorm(N * N), nrow=N) bb <- rnorm(N) res <- .rcppeigen.solve$dense_PPLU(AA, bb) checkEquals(res$Ainv, solve(AA)) checkEquals(res$x, solve(AA, bb)) res <- .rcppeigen.solve$dense_CPQR(AA, bb) checkEquals(res$Ainv, solve(AA)) checkEquals(res$x, solve(AA, bb)) }