mirror of https://github.com/CGAL/cgal
remove any reference to taucs
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@ -162,7 +162,7 @@ contains the following subdirectories:\index{directories!structure}
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\gdef\lcTabularBorder{2}
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\begin{tabular}{|l|l|} \hline
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\textbf{directory} & \textbf{contents}\\\hline\hline
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\texttt{auxiliary} & precompiled \gmp, \mpfr\ and \taucs\ for Windows\\\hline
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\texttt{auxiliary} & precompiled \gmp and \mpfr\ for Windows\\\hline
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\texttt{cmake/modules} & modules for finding and using libraries\\\hline
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\texttt{config} & configuration files for install script\\\hline
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\texttt{demo} & demo programs (most of them need \qt, geomview or other third-party products)\\\hline
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@ -607,14 +607,10 @@ It is recommended to install \ntl\ with support from \gmp.
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In \cgal, \eigen\ provides sparse linear solvers in the \ccRef[Surface Reconstruction from Point Sets]{Pkg:SurfaceReconstructionFromPointSets}
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and the \ccRef[Planar Parameterization of Triangulated Surface Meshes]{Pkg:SurfaceParameterization} packages.
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Since \cgal\ version 4.0, \eigen\ is recommended over \taucs\ that is not longer maintained.
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In addition, \eigen\ also provides singular value decomposition for the \ccRef[Estimation of Local Differential Properties]{Pkg:Jet_fitting_3}
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and the \ccRef[Approximation of Ridges and Umbilics]{Pkg:Ridges_3} packages.
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The usage of \eigen\ allows to remove \lapack, \blas\ and \taucs\ from the list of third party libraries
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required by some \cgal\ packages. Note that the version 3.1 (or greater) of \eigen\ is required.
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The \eigen\ web site is \eigenpage.
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% \subsection{\taucs \label{thirdparty:Taucs}}
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@ -19,9 +19,8 @@ This package allows the estimation of local differential quantities of
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a surface from a point sample, given either as a mesh or as point
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cloud.
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Note that this package either needs the third party library
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\ccThirdPartyEigen, or \ccThirdPartyLapack\ and \ccThirdPartyBlas\
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to be installed to compile the example code.
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Note that this package needs the third party library
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\ccThirdPartyEigen\ to be installed to compile the example code.
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%%%%%%%%%%%%%%%%%%%%%%%
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\section{Introduction\label{sec:intro}}
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@ -10,7 +10,7 @@
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curvature lines, etc. This package allows the estimation of local
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differential quantities of a surface from a point sample.}
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%
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\ccPkgDependsOn{Solvers as \ccThirdPartyEigen, or \ccThirdPartyLapack\ and \ccThirdPartyBlas}
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\ccPkgDependsOn{Solvers from \ccThirdPartyEigen}
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\ccPkgIntroducedInCGAL{3.3}
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\ccPkgLicense{\ccLicenseGPL}
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%\ccPkgDemo{Operations on Polyhedra}{polyhedron_3.zip}
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@ -4,7 +4,7 @@
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The input is an unorganized point set, possibly with normal attributes (unoriented or oriented).
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The point set can be analyzed to measure its average spacing, and processed through functions devoted
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to the simplification, outlier removal, smoothing, normal estimation and normal orientation.}
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\ccPkgDependsOn{\ccThirdPartyLapack}
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\ccPkgDependsOn{Solvers from \ccThirdPartyEigen}
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\ccPkgIntroducedInCGAL{3.5}
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\ccPkgLicense{\ccLicenseGPL}
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\ccPkgDemo{Surface Reconstruction}{surface_reconstruction_points_3.zip}
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@ -10,7 +10,7 @@
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mesh. Such curvature related features are curves: ridges or
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crests, and points: umbilics.}
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%
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\ccPkgDependsOn{Solvers as \ccThirdPartyEigen, or \ccThirdPartyLapack\ and \ccThirdPartyBlas}
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\ccPkgDependsOn{Solvers from \ccThirdPartyEigen}
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%
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\ccPkgIntroducedInCGAL{3.3} \ccPkgLicense{\ccLicenseGPL}
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\ccPkgIllustration{Ridges_3/RidgesMechPartDetail.png}{Ridges_3/mecanic-sub1_crestTweight1Tsharp7-jpg.png}
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@ -37,8 +37,7 @@ algorithms; such quantities may be computed by the package {\em
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Estimation of Local Differential Properties of Sampled Surfaces via
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Polynomial Fitting}.
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Note that this package needs either the third party library \ccThirdPartyEigen,
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or the third party libraries \ccThirdPartyLapack\ and \ccThirdPartyBlas\ for linear algebra operations.
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Note that this package needs the third party library \ccThirdPartyEigen for linear algebra operations.
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\subsection{Overview}
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%%%%%%%%%%%%%%%%%%%%%%
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@ -9,7 +9,7 @@ such as least squares conformal maps, discrete conformal map, discrete
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authalic parameterization, Floater mean value coordinates or Tutte
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barycentric mapping.}
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%
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\ccPkgDependsOn{Solvers as \ccThirdPartyEigen\ or \ccThirdPartyOpenNL\ or \ccThirdPartyTaucs.}
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\ccPkgDependsOn{Solvers from \ccThirdPartyEigen\.}
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\ccPkgIntroducedInCGAL{3.2}
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\ccPkgLicense{\ccLicenseGPL}
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\ccPkgDemo{Operations on Polyhedra}{polyhedron_3.zip}
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@ -12,7 +12,7 @@ of the \ccc{SparseLinearAlgebraTraits_d} concept:
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\begin{itemize}
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\item
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An interface to sparse solvers from the \ccThirdPartyOpenNL\ library \cite{cgal:l-nmdgp-05} is provided through classes
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An interface to sparse solvers from the \opennl\ library \cite{cgal:l-nmdgp-05} is provided through classes
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\ccc{OpenNL::DefaultLinearSolverTraits<COEFFTYPE, MATRIX, VECTOR, SOLVER>} and
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\ccc{OpenNL::SymmetricLinearSolverTraits<COEFFTYPE, MATRIX, VECTOR, SOLVER>}. The OpenNL library version shipped with \cgal\
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is a lightweight default sparse linear solver. It does not support large systems, but it is portable and
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@ -23,11 +23,11 @@ of the \ccc{SparseLinearAlgebraTraits_d} concept:
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\ccc{CGAL::Eigen_solver_traits<T>}. This solver traits class can be used for an iterative or a direct,
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symmetric or general sparse solvers. The \eigen\ solver to be used must be given as template parameter.
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\item
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An interface to sparse solvers from the\ccThirdPartyTaucs\ library is provided through the classes
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\ccc{CGAL::Taucs_solver_traits<T>} (out-of-core general sparse solver) and
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\ccc{CGAL::Taucs_symmetric_solver_traits<T>} (direct symmetric sparse solver).
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\ccThirdPartyTaucs\ is no longer maintained and we recommend to use \ccThirdPartyEigen\ instead.\\
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% \item
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% An interface to sparse solvers from the\ccThirdPartyTaucs\ library is provided through the classes
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% \ccc{CGAL::Taucs_solver_traits<T>} (out-of-core general sparse solver) and
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% \ccc{CGAL::Taucs_symmetric_solver_traits<T>} (direct symmetric sparse solver).
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% \ccThirdPartyTaucs\ is no longer maintained and we recommend to use \ccThirdPartyEigen\ instead.\\
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\end{itemize}
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@ -2,7 +2,7 @@
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\ccPkgHowToCiteCgal{cgal:asg-srps-12}
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\ccPkgSummary{ This \cgal\ package implements a surface reconstruction method: Poisson Surface Reconstruction. It takes as input a set of points with oriented normals and computes an implicit function. The \cgal\ surface mesh generator can then be used to extract an iso-surface from this function. }
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%
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\ccPkgDependsOn{\ccThirdPartyEigen\ or \ccThirdPartyTaucs}
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\ccPkgDependsOn{\ccThirdPartyEigen}
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\ccPkgIntroducedInCGAL{3.5}
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\ccPkgLicense{\ccLicenseGPL}
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\ccPkgDemo{Surface Reconstruction}{surface_reconstruction_points_3.zip}
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@ -13,4 +13,4 @@
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\input{Surface_reconstruction_points_3/contouring}
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\input{Surface_reconstruction_points_3/output}
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\input{Surface_reconstruction_points_3/case_studies}
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\input{Surface_reconstruction_points_3/performances}
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% \input{Surface_reconstruction_points_3/performances}
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