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Modules avx512: Difference between revisions
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| align="center" | [https://arma.sourceforge.net/ armadillo] | | align="center" | [https://arma.sourceforge.net/ armadillo] | ||
| align="center" | math | | align="center" | math | ||
| align="center" | 7.950.1, 8.500.1, 9.850.1, 9.900.2 | | align="center" | 7.950.1, 8.500.1, 9.850.1, 9.900.2, 12.6.4 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Armadillo is an open-source C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Homepage: https://arma.sourceforge.net/ URL: https://arma.sourceforge.net/ Keyword:math<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Armadillo is an open-source C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Homepage: https://arma.sourceforge.net/ URL: https://arma.sourceforge.net/ Keyword:math<br /><br /><br /></div> | ||
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| align="center" | 2.6.0.3, 2.7.0.9 | | align="center" | 2.6.0.3, 2.7.0.9 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: While preserving all the simulation flexibility of simcoal2, fastsimcoal is now implemented under a faster continous-time sequential Markovian coalescent approximation, allowing it to efficiently generate genetic diversity for different types of markers along large genomic regions, for both present or ancient samples. It includes a parameter sampler allowing its integration into Bayesian or likelihood parameter estimation procedure. fastsimcoal can handle very complex evolutionary scenarios including an arbitrary migration matrix between samples, historical events allowing for population resize, population fusion and fission, admixture events, changes in migration matrix, or changes in population growth rates. The time of sampling can be specified independently for each sample, allowing for serial sampling in the same or in different populations. Homepage: http://cmpg.unibe.ch/software/fastsimcoal2/ URL: http://cmpg.unibe.ch/software/fastsimcoal2/ Keyword:bio<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: While preserving all the simulation flexibility of simcoal2, fastsimcoal is now implemented under a faster continous-time sequential Markovian coalescent approximation, allowing it to efficiently generate genetic diversity for different types of markers along large genomic regions, for both present or ancient samples. It includes a parameter sampler allowing its integration into Bayesian or likelihood parameter estimation procedure. fastsimcoal can handle very complex evolutionary scenarios including an arbitrary migration matrix between samples, historical events allowing for population resize, population fusion and fission, admixture events, changes in migration matrix, or changes in population growth rates. The time of sampling can be specified independently for each sample, allowing for serial sampling in the same or in different populations. Homepage: http://cmpg.unibe.ch/software/fastsimcoal2/ URL: http://cmpg.unibe.ch/software/fastsimcoal2/ Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | [https://github.com/scwatts/fastspar fastspar] | |||
| align="center" | - | |||
| align="center" | 1.0.0 | |||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: FastSpar is a C++ implementation of the SparCC algorithm which is up to several thousand times faster than the original Python2 release and uses much less memory. The FastSpar implementation provides threading support and a p-value estimator which accounts for the possibility of repetitious data permutations (see this paper for further details). Homepage: https://github.com/scwatts/fastspar URL: https://github.com/scwatts/fastspar<br /><br /><br /></div> | |||
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| align="center" | [http://www.microbesonline.org/fasttree/ fasttree] | | align="center" | [http://www.microbesonline.org/fasttree/ fasttree] | ||