MightyStaticBin1D.html

scalable scientific and technical computing in Java (doc)

Install

All systems
curl cmd.cat/MightyStaticBin1D.html.sh
Debian Debian
apt-get install libcolt-free-java-doc
Ubuntu
apt-get install libcolt-free-java-doc
image/svg+xml Kali Linux
apt-get install libcolt-free-java-doc
Windows (WSL2)
sudo apt-get update sudo apt-get install libcolt-free-java-doc
Raspbian
apt-get install libcolt-free-java-doc
Dockerfile
dockerfile.run/MightyStaticBin1D.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