BinFunctions1D.html
scalable scientific and technical computing in Java (doc)
Install
- All systems
-
curl cmd.cat/BinFunctions1D.html.sh
- Debian
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apt-get install libcolt-free-java-doc - Ubuntu
-
apt-get install libcolt-free-java-doc - Kali Linux
-
apt-get install libcolt-free-java-doc - Windows (WSL2)
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sudo apt-get updatesudo apt-get install libcolt-free-java-doc - Raspbian
-
apt-get install libcolt-free-java-doc - Dockerfile
- dockerfile.run/BinFunctions1D.html
libcolt-free-java-doc
scalable scientific and technical computing in Java (doc)
This distribution provides an infrastructure for scalable scientific and technical computing in Java. It is particularly useful in the domain of High Energy Physics at CERN: It contains, among others, efficient and usable data structures and algorithms for Off-line and On-line Data Analysis, Linear Algebra, Multi-dimensional arrays, Statistics, Histogramming, Monte Carlo Simulation, Parallel & Concurrent Programming. It summons some of the best concepts, designs and implementations thought up over time by the community, ports or improves them and introduces new approaches where need arises. In overlapping areas, it is competitive or superior to toolkits such as STL, Root, HTL, CLHEP, TNT, GSL, C-RAND / WIN-RAND, (all C/C++) as well as IBM Array, JDK 1.2 Collections framework (all Java), in terms of performance, functionality and (re)usability. This package provides the documentation for the library Note: libcolt-free-java is a copy of libcolt-java stripped from some classes with a non-free license (LGPL+military exception).
libcolt-java-doc
scalable scientific and technical computing in Java (doc)
This distribution provides an infrastructure for scalable scientific and technical computing in Java. It is particularly useful in the domain of High Energy Physics at CERN: It contains, among others, efficient and usable data structures and algorithms for Off-line and On-line Data Analysis, Linear Algebra, Multi-dimensional arrays, Statistics, Histogramming, Monte Carlo Simulation, Parallel & Concurrent Programming. It summons some of the best concepts, designs and implementations thought up over time by the community, ports or improves them and introduces new approaches where need arises. In overlapping areas, it is competitive or superior to toolkits such as STL, Root, HTL, CLHEP, TNT, GSL, C-RAND / WIN-RAND, (all C/C++) as well as IBM Array, JDK 1.2 Collections framework (all Java), in terms of performance, functionality and (re)usability. This package provides the documentation for the library