libmrpt-bayes2.13
Mobile Robot Programming Toolkit - bayes library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-comms2.13
Mobile Robot Programming Toolkit - comms library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libmrpt-config2.13
Mobile Robot Programming Toolkit - config library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
mcstas-mcdisplay-matplotlib
Neutron ray-trace simulation - Matplotlib instrument display
McStas is a tool for carrying out Monte Carlo ray-tracing simulations
of neutron scattering instruments with high complexity and
precision. The simulations can compute all aspects of the performance
of instruments and can thus be used to optimize the use of existing
equipment, design new instrumentation, and carry out virtual
experiments for e.g. training, experimental planning or data
analysis.
libmrss0t64
C library for parsing, writing and creating RSS files or streams
libmrss is a C library for parsing, writing and creating RSS
(0.91, 0.92, 1.0, 2.0) files or streams.
mcstas-comps
Neutron ray-trace simulation - components
McStas is a tool for carrying out Monte Carlo ray-tracing simulations
of neutron scattering instruments with high complexity and
precision. The simulations can compute all aspects of the performance
of instruments and can thus be used to optimize the use of existing
equipment, design new instrumentation, and carry out virtual
experiments for e.g. training, experimental planning or data
analysis.