mirror of https://github.com/CGAL/cgal
Correction of hyperlinks
The link checker gave a number of redirects and incorrect links. - the redirects have been solved ass far as possible - the incorrect links have been checked and corrected where possible, others have been reported through issues;
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@ -227,7 +227,7 @@ cases where many labels are used (more than five).
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An [example](\ref Classification_example_ethz_random_forest) shows how to
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use this classifier. For more details about the algorithm, please refer
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to README provided in the [ETH Zurich's code archive](https://www.ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/sourcecode-and-datasets/Random%20Forest/rforest.zip).
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to README provided in the [ETH Zurich's code archive](https://ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/sourcecode-and-datasets/Random%20Forest/rforest.zip).
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\subsubsection Classification_ETHZ_random_forest_deprecated Deprecated IO
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@ -322,7 +322,7 @@ employing the authors) of this work, a pointer to the file containing its text i
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<LI>\$URL\$ : canonical path to the file on github,
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<LI>\$Id\$ : the release version the file is from.
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</UL>
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<LI> Then [SPDX license identifier](https://spdx.org/). For GPL-3+ it should be `SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial`,
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<LI> Then [SPDX license identifier](https://spdx.dev/). For GPL-3+ it should be `SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial`,
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and `SPDX-License-Identifier: LGPL-3.0-or-later OR LicenseRef-Commercial` for LGPL-3+.
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<LI>Then the authors of (non-negligible parts of) this file are listed, with
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optional affiliation or e-mail address.
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@ -204,7 +204,7 @@ length integers, and for vectors, matrices, and polynomials over the
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integers and over finite fields. The optional library \ntl is used by \cgal
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to speed up operations of the Polynomial package, such as GCDs. It is recommended to install \ntl with support from \gmp.
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\ntl can be downloaded from <A HREF="https://www.shoup.net/ntl/">`https://www.shoup.net/ntl/`</A>.
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\ntl can be downloaded from <A HREF="https://libntl.org">`https://libntl.org`</A>.
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\subsection thirdpartyESBTL ESBTL
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@ -225,7 +225,7 @@ code. In order to use \tbb in \cgal programs, the executables
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should be linked with the CMake imported target `CGAL::TBB_support`
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provided in `CGAL_TBB_support.cmake`.
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The \tbb web site is <A HREF="https://www.threadingbuildingblocks.org">`https://www.threadingbuildingblocks.org`</A>.
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The \tbb web site is <A HREF="https://github.com/oneapi-src/oneTBB">`https://github.com/oneapi-src/oneTBB`</A>.
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\subsection thirdpartyLASlib LASlib
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@ -308,7 +308,7 @@ there must be a global function `halfedges(const G&)`, etc.
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An example for a concept with a required traits class is `InputIterator`.
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For a model of an `InputIterator` a specialization of the class
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<a href="http://en.cppreference.com/w/cpp/iterator/iterator_traits"> `std::iterator_traits`</a>
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<a href="https://en.cppreference.com/w/cpp/iterator/iterator_traits"> `std::iterator_traits`</a>
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must exist (or the generic template must be applicable).
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\section intro_further Further Reading
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@ -245,8 +245,8 @@ A typical `Qt` installation would consist of the following steps:
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<ul>
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<li>
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Download and install the Qt library for open source development package for your Visual Studio version at
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<a href="https://www.qt.io/download/">https://www.qt.io/download/</a>
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(here is the direct link to the <a href="https://www1.qt.io/offline-installers/">offline installers</a>).</li>
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<a href="https://www.qt.io/download">https://www.qt.io/download</a>
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(here is the direct link to the <a href="https://www.qt.io/offline-installers">offline installers</a>).</li>
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<li>Add the environment variable `QTDIR` pointing to the place you installed Qt, e.g., `C:\dev\Qt\Qt5.13.1`,
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as this will help `cmake` to find Qt.</li>
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<li>Add the bin directory of Qt, e.g. add `C:\dev\Qt\Qt5.13.1\msvcXXXX_YY\bin` to `PATH`, where `XXXX_YY` is something like `vc2017_64`.
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@ -2142,7 +2142,7 @@ ABSTRACT = {We present the first complete, exact and efficient C++ implementatio
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,month = dec
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,year = {2000}
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,issn = {0946-011X}
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,url = {https://www.mpi-sb.mpg.de/~mehlhorn/ftp/InfiFrames.ps}
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,url = {https://people.mpi-inf.mpg.de/~mehlhorn/ftp/InfiFrames.ps}
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}
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@InProceedings{cgal:sp-mrbee-05
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@ -2373,7 +2373,7 @@ location = {Salt Lake City, Utah, USA}
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howpublished = {Stefan Walk (ETH Zurich, Department of Civil,
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Environmental and Geomatic Engineering, Institute of
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Geodesy and Photogrammetry)},
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url = {http://www.prs.igp.ethz.ch/research/Source_code_and_datasets.html},
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url = {https://prs.igp.ethz.ch/research/Source_code_and_datasets.html},
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year = 2014
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}
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@ -152039,7 +152039,7 @@ pages = {179--189}
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Booktitle = {53rd Annual IEEE Symposium on Foundations of Computer Science (FOCS)},
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Year = {2012},
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Pages = {440-449},
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Url = {http://arxiv.org/abs/1110.4573}
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Url = {https://arxiv.org/abs/1110.4573}
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}
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@article{cvl-ew-12,
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@ -37,7 +37,7 @@ You can access the CGAL Online Manual from the
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<li><a href ="https://www.cgal.org/">CGAL Homepage</a>
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<li><a href ="https://www.cgal.org/FAQ.html">FAQ</a>
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<li><a href ="http://www.boost.org/doc/">Boost Documentation</a>
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<li><a href ="http://en.cppreference.com/w/">STL Reference</a>
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<li><a href ="https://en.cppreference.com/w/">STL Reference</a>
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</ul>
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@ -493,7 +493,7 @@ using std::max;
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// Macros to detect features of clang. We define them for the other
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// compilers.
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// See http://clang.llvm.org/docs/LanguageExtensions.html
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// See also http://en.cppreference.com/w/cpp/experimental/feature_test
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// See also https://en.cppreference.com/w/cpp/experimental/feature_test
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#ifndef __has_feature
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#define __has_feature(x) 0 // Compatibility with non-clang compilers.
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#endif
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@ -542,9 +542,9 @@ cell base classes, the `MeshVertexBase_3` and
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`MeshCellBase_3` concepts impose additional requirements.
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Parallel algorithms require the executable to be linked against the
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<a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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<a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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To control the number of threads used, the user may use the tbb::task_scheduler_init class.
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See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a>
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See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a>
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for more details.
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\section Mesh_3_section_io Input/Output
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@ -37,7 +37,7 @@ class Index_generator {
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static int get_unique_index()
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{
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// initialized with 0
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// http://en.cppreference.com/w/cpp/language/zero_initialization
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// https://en.cppreference.com/w/cpp/language/zero_initialization
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#ifdef CGAL_NO_ATOMIC
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static int unique;
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#else
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@ -742,9 +742,9 @@ Comparison between different sizes of neighbor radius.
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\subsubsection Point_set_processing_3WLOP_parallel_performance Parallel Performance
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A parallel version of WLOP is provided and requires the executable to be linked against the
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<a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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<a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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To control the number of threads used, the user may use the tbb::task_scheduler_init class.
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See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a>
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See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a>
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for more details. We provide below a speed-up chart generated using the parallel version of the WLOP algorithm. The machine used is a PC running Windows 7 64-bits with a 4-core i7-4700HQ@2.40GHz CPU with 8GB of RAM.
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\cgalFigureBegin{Point_set_processing_3figWLOP_parallel_performance, parallel_WLOP_performance.jpg}
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@ -787,9 +787,9 @@ Comparison for two smoothing methods: Left: Input, 250K points, normal-color map
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Performance:
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A parallel version of bilateral smoothing is provided and requires the executable to be linked against the
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<a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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<a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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The number of threads used is controlled through the tbb::task_scheduler_init class.
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See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a> for more details. We provide below a speed-up chart generated using the parallel version of the bilateral smoothing algorithm. The machine used is a PC running Windows 7 64-bits with a 4-core i7-4700HQ@2.40GHz CPU with 8GB of RAM.
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See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a> for more details. We provide below a speed-up chart generated using the parallel version of the bilateral smoothing algorithm. The machine used is a PC running Windows 7 64-bits with a 4-core i7-4700HQ@2.40GHz CPU with 8GB of RAM.
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\cgalFigureBegin{Point_set_processing_3Bilateral_smoothing_parallel_performance, parallel_bilateral_smooth_point_set_performance.jpg}
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Parallel bilateral smoothing speed-up, compared to the sequential version of the algorithm.
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@ -178,9 +178,9 @@ compute_max_spacing(
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For more details, please see section 4 in \cgalCite{ear-2013}.
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A parallel version of this function is provided and requires the executable to be
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linked against the <a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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linked against the <a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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To control the number of threads used, the user may use the tbb::task_scheduler_init class.
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See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a>
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See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a>
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for more details.
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\pre Normals must be unit vectors
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@ -341,9 +341,9 @@ compute_density_weight_for_sample_point(
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For more details, please refer to \cgalCite{wlop-2009}.
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A parallel version of WLOP is provided and requires the executable to be
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linked against the <a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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linked against the <a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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To control the number of threads used, the user may use the tbb::task_scheduler_init class.
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See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a>
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See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a>
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for more details.
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\tparam ConcurrencyTag enables sequential versus parallel algorithm. Possible values are `Sequential_tag`,
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@ -1064,9 +1064,9 @@ double approximate_Hausdorff_distance(
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* `tm1` and `np1` as parameter.
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*
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* A parallel version is provided and requires the executable to be
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* linked against the <a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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* linked against the <a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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* To control the number of threads used, the user may use the `tbb::task_scheduler_init` class.
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* See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a>
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* See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a>
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* for more details.
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*
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* @tparam Concurrency_tag enables sequential versus parallel algorithm.
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@ -209,7 +209,7 @@ The current implementation incorporates two open source solvers: \ref thirdparty
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with reasonably simple structure.
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In case you are reconstructing more complex objects, you may need to consider more efficient open source
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solvers (e.g., <a href = "https://projects.coin-or.org/Cbc">CBC</a>) or even commercial solvers (e.g.,
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<a href = "http://www.gurobi.com/">Gurobi</a>, <a href = "https://www.ibm.com/analytics/cplex-optimizer">CPLEX</a>).
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<a href = "https://www.gurobi.com/">Gurobi</a>, <a href = "https://www.ibm.com/analytics/cplex-optimizer">CPLEX</a>).
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The following table gives a rough idea of the performance of some solvers.
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| Model | Problem Size <br>variables/constraints | Gurobi | CBC | SCIP | GLPK | LP_SOLVE |
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@ -135,7 +135,7 @@ namespace cpp98 {
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/*!
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\ingroup STLAlgos
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Replacement for <a href="http://en.cppreference.com/w/cpp/algorithm/random_shuffle">`std::random_shuffle()`</a>
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Replacement for <a href="https://en.cppreference.com/w/cpp/algorithm/random_shuffle">`std::random_shuffle()`</a>
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which was deprecated in C++14, and removed by C++17.
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In the \stl it was replaced by `std::shuffle()`.
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@ -149,7 +149,7 @@ random_shuffle(RandomAccessIterator begin, RandomAccessIterator end,
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/*!
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\ingroup STLAlgos
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Replacement for <a href="http://en.cppreference.com/w/cpp/algorithm/random_shuffle">`std::random_shuffle()`</a>
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Replacement for <a href="https://en.cppreference.com/w/cpp/algorithm/random_shuffle">`std::random_shuffle()`</a>
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which was deprecated in C++14, and removed by C++17.
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In the \stl it was replaced by `std::shuffle()`.
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@ -98,7 +98,7 @@ The class `Concurrent_compact_container<T, Allocator>`
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provides the same features, but enables concurrency-safe
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`insert` and `erase` operations. Other operations are not concurrency-safe.
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It requires the program to be linked against
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the <a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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the <a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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\section stl_multi Multiset with Extended Functionality
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@ -24,7 +24,7 @@ we provide models using \ref thirdpartySCIP and \ref thirdpartyGLPK
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libraries. It is also possible to derive new models from other
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high performance libraries, e.g.,
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<a href = "https://projects.coin-or.org/Cbc"> CBC </a>,
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<a href = "http://www.gurobi.com/"> Gurobi </a>.
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<a href = "https://www.gurobi.com/"> Gurobi </a>.
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@ -274,7 +274,7 @@ namespace CGAL {
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/// `CGAL::SCIP_mixed_integer_program_traits`. Alternatively, use
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/// `CGAL::Mixed_integer_program_traits` as a base to derive a new model
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/// (using e.g., <a href = "https://projects.coin-or.org/Cbc"> CBC </a>,
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/// <a href = "http://www.gurobi.com/"> Gurobi </a> for better
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/// <a href = "https://www.gurobi.com/"> Gurobi </a> for better
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/// performance).
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///
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/// \cond SKIP_IN_MANUAL
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@ -414,7 +414,7 @@ branches of each internal node can be computed in parallel, by calling
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`Kd_tree::build<CGAL::Parallel_tag>()`. On a quad-core processor, the
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parallel construction is experimentally 2 to 3 times faster than the
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sequential version, depending on the point cloud. The parallel version
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requires the executable to be linked against the <a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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requires the executable to be linked against the <a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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One query on the `kd` tree is purely sequential, but several queries
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can be done in parallel.
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@ -370,7 +370,7 @@ The `3MF`, using the file extension `.3mf`, is an open source file format create
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It is an XML-based format that aims to enhance the \ref IOStreamSTL by adding means to include
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extra information such as colors.
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A precise specification of the format is available at <a href="http://www.3mf.io/specification/">3mf.io</a>;
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A precise specification of the format is available at <a href="https://3mf.io/specification/">3mf.io</a>;
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note that only versions `1.x` are currently supported in \cgal.
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<table class="iotable">
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@ -405,7 +405,7 @@ and when iterating over elements they will not be enumerated in the insertion or
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\section sectionSurfaceMeshHistory Implementation History
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This package is derived from an early version of Daniel Sieger and Mario Botsch package
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<a href="http://graphics.uni-bielefeld.de/publications/imr11/"><em>%Surface_mesh</em></a>
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<a href="https://graphics.uni-bielefeld.de/publications/imr11/"><em>%Surface_mesh</em></a>
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\cgalCite{sieger2011design},
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which is inspired from the design of <a href="https://www.openmesh.org/">OpenMesh</a> and the \cgal package
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\ref PkgPolyhedron.
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@ -411,9 +411,9 @@ range of points will be performed in parallel, and the individual
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insert/remove operations will be optionally thread-safe.
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Parallel algorithms require the program to be linked against
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the <a href="https://www.threadingbuildingblocks.org">Intel TBB library</a>.
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the <a href="https://github.com/oneapi-src/oneTBB">Intel TBB library</a>.
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To control the number of threads used, the user may use the tbb::task_scheduler_init class.
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See the <a href="https://www.threadingbuildingblocks.org/documentation">TBB documentation</a>
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See the <a href="https://software.intel.com/content/www/us/en/develop/documentation/onetbb-documentation/top.html">TBB documentation</a>
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for more details.
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\section Triangulation3secexamples Examples
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Loading…
Reference in New Issue