Estimate the logarithm of the polytope volume in CB algorithm

R-proj/R/RcppExports.R

@@ -297,7 +297,7 @@ rotating <- function(P, T = NULL, seed = NULL) {
 #' Internal rcpp function for the rounding of a convex polytope
 #'
 #' @param P A convex polytope (H- or V-representation or zonotope).
-#' @param method Optional. The method to use for rounding, a) \code{'min_ellipsoid'} for the method based on mimimmum volume enclosing ellipsoid of a uniform sample from P, b) \code{'max_ellipsoid'} for the method based on maximum volume enclosed ellipsoid in P, (c) \code{'svd'} for the method based on svd decomposition. The default method is \code{'min_ellipsoid'} for all the representations.
+#' @param method Optional. The method to use for rounding, a) \code{'min_ellipsoid'} for the method based on mimimmum volume enclosing ellipsoid of a uniform sample from P, b) \code{'max_ellipsoid'} for the method based on maximum volume enclosed ellipsoid in P, (c) \code{'isotropy'} for the method based on isotropy. The default method is \code{'min_ellipsoid'} for all the representations.
 #' @param seed Optional. A fixed seed for the number generator.
 #'
 #' @keywords internal
@@ -410,7 +410,7 @@ loadSdpaFormatFile <- function(inputFile = NULL) {
     .Call(`_volesti_loadSdpaFormatFile`, inputFile)
 }
 
-#' The main function for volume approximation of a convex Polytope (H-polytope, V-polytope, zonotope or intersection of two V-polytopes)
+#' The main function for volume approximation of a convex Polytope (H-polytope, V-polytope, zonotope or intersection of two V-polytopes). It returns a list with two elements: (a) the logarithm of the estimated volume and (b) the estimated volume
 #'
 #' For the volume approximation can be used three algorithms. Either CoolingBodies (CB) or SequenceOfBalls (SOB) or CoolingGaussian (CG). An H-polytope with \eqn{m} facets is described by a \eqn{m\times d} matrix \eqn{A} and a \eqn{m}-dimensional vector \eqn{b}, s.t.: \eqn{P=\{x\ |\  Ax\leq b\} }. A V-polytope is defined as the convex hull of \eqn{m} \eqn{d}-dimensional points which correspond to the vertices of P. A zonotope is desrcibed by the Minkowski sum of \eqn{m} \eqn{d}-dimensional segments.
 #'
@@ -439,15 +439,15 @@ loadSdpaFormatFile <- function(inputFile = NULL) {
 #'
 #' # calling SOB algorithm for a H-polytope (5d unit simplex)
 #' HP = gen_cube(5,'H')
-#' vol = volume(HP)
+#' pair_vol = volume(HP)
 #'
 #' # calling CG algorithm for a V-polytope (3d simplex)
 #' VP = gen_simplex(3,'V')
-#' vol = volume(VP, settings = list("algorithm" = "CG"))
+#' pair_vol = volume(VP, settings = list("algorithm" = "CG"))
 #'
 #' # calling CG algorithm for a 2-dimensional zonotope defined as the Minkowski sum of 4 segments
 #' Z = gen_rand_zonotope(2, 4)
-#' vol = volume(Z, settings = list("random_walk" = "RDHR", "walk_length" = 2))
+#' pair_vol = volume(Z, settings = list("random_walk" = "RDHR", "walk_length" = 2))
 #'
 #' @export
 volume <- function(P, settings = NULL, rounding = NULL, seed = NULL) {

R-proj/R/round_polytope.R

@@ -3,7 +3,7 @@
 #' Given a convex H or V polytope or a zonotope as input this function brings the polytope in rounded position based on minimum volume enclosing ellipsoid of a pointset.
 #' 
 #' @param P A convex polytope. It is an object from class (a) Hpolytope or (b) Vpolytope or (c) Zonotope.
-#' @param method Optional. The method to use for rounding, a) \code{'mee'} for the method based on mimimmum volume enclosing ellipsoid of a dataset, b) \code{'mve'} for the method based on maximum volume enclosed ellipsoid, (c) \code{'svd'} for the method based on svd decomposition. The default method is \code{'mee'} for all the representations.
+#' @param method Optional. The method to use for rounding, a) \code{'min_ellipsoid'} for the method based on mimimmum volume enclosing ellipsoid of a dataset, b) \code{'max_ellipsoid'} for the method based on maximum volume enclosed ellipsoid, (c) \code{'isotropy'} for the method based on svd decomposition. The default method is \code{'mee'} for all the representations.
 #' @param seed Optional. A fixed seed for the number generator.
 #' 
 #' @return A list with 4 elements: (a) a polytope of the same class as the input polytope class and (b) the element "T" which is the matrix of the inverse linear transformation that is applied on the input polytope, (c)  the element "shift" which is the opposite vector of that which has shifted the input polytope, (d) the element "round_value" which is the determinant of the square matrix of the linear transformation that is applied on the input polytope.

R-proj/src/rounding.cpp

@@ -43,7 +43,7 @@ std::tuple<MT, VT, NT> apply_rounding(Polytope &P,
     std::tuple<MT, VT, NT> round_res;
     if (method_rcpp.compare(std::string("min_ellipsoid")) == 0) {
         round_res = min_sampling_covering_ellipsoid_rounding<WalkType, MT, VT>(P, InnerBall, walkL, rng);
-    } else if (method_rcpp.compare(std::string("svd")) == 0) {
+    } else if (method_rcpp.compare(std::string("isotropy")) == 0) {
         round_res = svd_rounding<WalkType, MT, VT>(P, InnerBall, walkL, rng);
     } else {
         throw Rcpp::exception("Unknown method!");
@@ -54,7 +54,7 @@ std::tuple<MT, VT, NT> apply_rounding(Polytope &P,
 //' Internal rcpp function for the rounding of a convex polytope
 //'
 //' @param P A convex polytope (H- or V-representation or zonotope).
-//' @param method Optional. The method to use for rounding, a) \code{'min_ellipsoid'} for the method based on mimimmum volume enclosing ellipsoid of a uniform sample from P, b) \code{'max_ellipsoid'} for the method based on maximum volume enclosed ellipsoid in P, (c) \code{'svd'} for the method based on svd decomposition. The default method is \code{'min_ellipsoid'} for all the representations.
+//' @param method Optional. The method to use for rounding, a) \code{'min_ellipsoid'} for the method based on mimimmum volume enclosing ellipsoid of a uniform sample from P, b) \code{'max_ellipsoid'} for the method based on maximum volume enclosed ellipsoid in P, (c) \code{'isotropy'} for the method based on isotropy. The default method is \code{'min_ellipsoid'} for all the representations.
 //' @param seed Optional. A fixed seed for the number generator.
 //'
 //' @keywords internal
@@ -76,7 +76,7 @@ Rcpp::List rounding (Rcpp::Reference P,
     typedef Eigen::Matrix<NT,Eigen::Dynamic,Eigen::Dynamic> MT;
 
     unsigned int n = P.field("dimension"), walkL = 2, type = P.field("type");
-    std::string method_rcpp = std::string("min_ellipsoid");
+    std::string method_rcpp = std::string("isotropy");
     if(method.isNotNull()) {
         method_rcpp =  Rcpp::as<std::string>(method);
         if (method_rcpp.compare(std::string("max_ellipsoid")) == 0 && type != 1) {