R/datadoc.R

#' An Configuration Matrix for Distance Weighted Discrimination
#'
#' @docType data
#' @keywords datasets
#' @name Andwd
#' @usage data(Andwd)
#' @format A matrix with 50 rows and 3 columns
NULL

#' Ap Configuration Matrix for Distance Weighted Discrimination
#'
#' @docType data
#' @keywords datasets
#' @name Apdwd
#' @usage data(Apdwd)
#' @format A matrix with 50 rows and 3 columns
NULL

#' Symmetric Matrix for Educational Testing Problem
#'
#' @docType data
#' @keywords datasets
#' @name Betp
#' @usage data(Betp)
#' @format A matrix with 5 rows and 5 columns
NULL

#' Adjacency Matrix for Graph Partitioning Problem
#'
#' @docType data
#' @keywords datasets
#' @name Bgpp
#' @usage data(Bgpp)
#' @format A matrix with 10 rows and 10 columns
NULL

#' B Matrix for the Log Chebyshev Approximation Problem
#'
#' @docType data
#' @keywords datasets
#' @name Blogcheby
#' @usage data(Blogcheby)
#' @format A matrix with 10 rows and 10 columns
NULL

#' Adjacency Matrix for Max-Cut
#'
#' @docType data
#' @keywords datasets
#' @name Bmaxcut
#' @usage data(Bmaxcut)
#' @format A matrix with 10 rows and 10 columns
NULL

#' Adjacency Matrix for Max-kCut
#'
#' @docType data
#' @keywords datasets
#' @name Bmaxkcut
#' @usage data(Bmaxkcut)
#' @format A matrix with 10 rows and 10 columns
NULL

#' Test Vector Matrix for D-Optimal Design
#'
#' @docType data
#' @keywords datasets
#' @name DoptDesign
#' @usage data(DoptDesign)
#' @format A matrix with 3 rows and 25 columns
NULL

#' f vector for the Log Chebyshev Approximation Problem
#'
#' @docType data
#' @keywords datasets
#' @name flogcheby
#' @usage data(flogcheby)
#' @format A vector with length 20
NULL

#' Symmetric Matrix for the Toeplitz Approximatin Problem
#'
#' @docType data
#' @keywords datasets
#' @name Ftoep
#' @usage data(Ftoep)
#' @format A matrix with 10 rows and 10 columns
NULL

#' Adjacency Matrix on which to find the Lovasz Number
#'
#' @docType data
#' @keywords datasets
#' @name Glovasz
#' @usage data(Glovasz)
#' @format A matrix with 10 rows and 10 columns
NULL

#' Approximate Correlation Matrix for Nearest Correlation Matrix Problem
#'
#' @docType data
#' @keywords datasets
#' @name Hnearcorr
#' @usage data(Hnearcorr)
#' @format A matrix with 5 rows and 5 columns
NULL

#' Configuration Matrix for Minimum Ellipse Problem
#'
#' @docType data
#' @keywords datasets
#' @name Vminelips
#' @usage data(Vminelips)
#' @format A matrix with 2 rows and 2 columns
NULL

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sdpt3r documentation built on May 2, 2019, 4:19 a.m.