# R/domainChecks.R In multIntTestFunc: Provides Test Functions for Multivariate Integration

#### Documented in checkClosedUnitBallcheckClosedUnitCubecheckPoscheckRncheckStandardSimplexcheckUnitSphere

#' Domain check for closed unit hypercube \eqn{[0,1]^n}
#'
#' The function checks if a point (one row in the input argument) is inside the closed unit hypercube \eqn{[0,1]^n} or not.
#' If the input matrix contains entries that are not numeric, i.e., not representing real numbers, the function throws an error.
#' The dimension \eqn{n} is automatically inferred from the input matrix and is equal to the number of columns.
#' @param x Matrix with numeric entries. Each row represents one point
#' @return Vector where each element (TRUE or FALSE) indicates if a point is in the unit hypercube
#' @examples
#' x <- matrix(rnorm(30),10,3)
#' checkClosedUnitCube(x)
#' @export
#' @author Klaus Herrmann
checkClosedUnitCube <- function(x){
stopifnot(is.numeric(x)==TRUE)
B1 <- apply(x>=0,1,min)
B2 <- apply(x<=1,1,min)
as.logical(pmin(B1,B2))
}

#' Domain check for closed unit ball \eqn{\{\vec{x} \in R^n : \Vert \vec{x} \Vert_{2} \leq 1\}}
#'
#' The function checks if a point (one row in the input argument) is inside the closed unit ball \eqn{\{\vec{x} \in R^n : \Vert \vec{x} \Vert_2 \leq 1\}} or not.
#' If the input matrix contains entries that are not numeric, i.e., not representing real numbers, the function throws an error.
#' The dimension \eqn{n} is automatically inferred from the input matrix and is equal to the number of columns.
#' @param x Matrix with numeric entries. Each row represents one point
#' @return Vector where each element (TRUE or FALSE) indicates if a point is in the closed unit ball
#' @examples
#' x <- matrix(rnorm(30),10,3)
#' checkClosedUnitBall(x)
#' @export
#' @author Klaus Herrmann
checkClosedUnitBall <- function(x){
stopifnot(is.numeric(x)==TRUE)
sqrt(rowSums( x * x )) <= 1
}

#' Domain check for unit sphere \eqn{\{\vec{x} \in R^n : \Vert \vec{x} \Vert_{2} = 1\}}
#'
#' The function checks if a point (one row in the input argument) is inside the unit sphere \eqn{\{\vec{x} \in R^n : \Vert \vec{x} \Vert_2 = 1\}} or not.
#' If the input matrix contains entries that are not numeric, i.e., not representing real numbers, the function throws an error.
#' The dimension \eqn{n} is automatically inferred from the input matrix and is equal to the number of columns.
#' The function allows for an additional parameter \eqn{\varepsilon\geq 0} to test \eqn{\{\vec{x} \in R^n : 1-\varepsilon \leq \Vert \vec{x} \Vert_2 \leq 1 + \varepsilon\}}.
#' WARNING: Due to floating point arithmetic the default value of \eqn{\varepsilon=0} will not work properly in most cases.
#'
#' @param x Matrix with numeric entries. Each row represents one point
#' @param eps Non-negative numeric that allows to test points with an additional tolerance
#' @return Vector where each element (TRUE or FALSE) indicates if a point is in the unit sphere
#' @examples
#' x <- matrix(rnorm(30),10,3)
#' checkUnitSphere(x,eps=0.001)
#' @export
#' @author Klaus Herrmann
checkUnitSphere <- function(x,eps=0){
stopifnot(is.numeric(x)==TRUE, is.numeric(eps)==TRUE, length(eps)==1, eps>=0)
B1 <- sqrt(rowSums( x * x )) <= 1 + eps
B2 <- sqrt(rowSums( x * x )) >= 1 - eps
as.logical(B1*B2)
}

#' Domain check for standard simplex \eqn{\{\vec{x} \in R^n : x_i \geq 0, \Vert \vec{x} \Vert_1 \leq 1 \}}
#'
#' The function checks if a point (one row in the input argument) is inside the standard simplex \eqn{\{\vec{x} \in R^n : x_i \geq, \Vert \vec{x} \Vert_1 \leq 1 \}} or not.
#' If the input matrix contains entries that are not numeric, i.e., not representing real numbers, the function throws an error.
#' The dimension \eqn{n} is automatically inferred from the input matrix and is equal to the number of columns.
#' @param x Matrix with numeric entries. Each row represents one point
#' @return Vector where each element (TRUE or FALSE) indicates if a point is in the standard simplex
#' @examples
#' x <- matrix(rnorm(30),10,3)
#' checkStandardSimplex(x)
#' @export
#' @author Klaus Herrmann
checkStandardSimplex <- function(x){
stopifnot(is.numeric(x)==TRUE)
#check that x_i >=0 and ||x||_1 <= 1
B1 <- apply( x >= 0, 1, min)
B2 <- rowSums( abs(x) ) <= 1
as.logical( pmin(B1,B2) )
}

#' Domain check for \eqn{R^n }
#'
#' The function checks if a point (one row in the input argument) is inside the n-dimensional Euclidean space \eqn{R^n = \times_{i=1}^n R} or not.
#' In this case the return values are all TRUE.
#' If the input matrix contains entries that are not numeric, i.e., not representing real numbers, the function throws an error.
#' The dimension \eqn{n} is automatically inferred from the input matrix and is equal to the number of columns.
#' @param x Matrix with numeric entries. Each row represents one point
#' @return Vector where each element (TRUE or FALSE) indicates if a point is in R^n
#' @examples
#' x <- matrix(rnorm(30),10,3)
#' checkRn(x)
#' @export
#' @author Klaus Herrmann
checkRn <- function(x){
stopifnot(is.numeric(x)==TRUE)
return(rep(TRUE,length=nrow(x)))
}

#' Domain check for \eqn{[0,\infty)^n }
#'
#' The function checks if a point (one row in the input argument) is inside \eqn{[0,\infty)^n = \times_{i=1}^n [0,\infty)} or not.
#' In this case the return values are all TRUE.
#' If the input matrix contains entries that are not numeric, i.e., not representing real numbers, the function throws an error.
#' The dimension \eqn{n} is automatically inferred from the input matrix and is equal to the number of columns.
#' @param x Matrix with numeric entries. Each row represents one point
#' @return Vector where each element (TRUE or FALSE) indicates if a point is in \eqn{[0,\infty)^n}
#' @examples
#' x <- matrix(rexp(30,rate=1),10,3)
#' checkPos(x)
#' @export
#' @author Klaus Herrmann
checkPos <- function(x){
stopifnot(is.numeric(x)==TRUE)
as.logical(apply( x >= 0, 1, min))
}


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multIntTestFunc documentation built on April 19, 2023, 5:07 p.m.