LibNav

LibNav is a library providing general algorithms for navigation and positioning.
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LibNav Ranking & Summary

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  • Rating:
  • License:
  • LGPL
  • Price:
  • FREE
  • Publisher Name:
  • Dagoberto Salazar
  • Publisher web site:

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LibNav Description

LibNav is a library providing general algorithms for navigation and positioning. LibNav is a library providing general algorithms for navigation and positioning. The library includes datum conversions, reference systems conversions, vector and matrix operations, Kalman Filter, Least-Mean-Squares, Runge-Kutta, statistical tools and more.Installation:The simplest way to compile this package is:1. `cd' to the directory containing the package's source code and type `./configure' to configure the package for your system. If you're using `csh' on an old version of System V, you might need to type `sh ./configure' instead to prevent `csh' from trying to execute `configure' itself.Running `configure' takes awhile. While running, it prints some messages telling which features it is checking for.2. Type `make' to compile the package.3. Optionally, type `make check' to run any self-tests that come with the package.4. Type `make install' to install the programs and any data files and documentation.5. You can remove the program binaries and object files from the source code directory by typing `make clean'. To also remove the files that `configure' created (so you can compile the package for a different kind of computer), type `make distclean'. There is also a `make maintainer-clean' target, but that is intended mainly for the package's developers. If you use it, you may have to get all sorts of other programs in order to regenerate files that came with the distribution.What's New in This Release:· Added working version of "Position::set_UTM()". What's New in This Release: · Improved the way exceptions are thrown. Added interesting examples: · 'RungeKuttaTest-parachute.cpp' · 'RungeKuttaTest-Rocket.cpp'. · 'RandClassExample.cpp'. · 'KalmanExampleMouse.cpp'. · Added 'SpecialFunctions', which contain important functions used as statistic building blocks. · Added important statistic distributions: 'GaussianDistribution', 'Chi2Distribution' and 'StudentDistribution'. · Added 'Time' class and its accesories. · Added 'AstronomicalFunctions'. · Added classes to compute de position of Sun and Moon: 'SunPosition' and 'MoonPosition'.


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