fundest is a C/C++ library for robust, non-linear fundamental matrix estimation. The fundamental matrix is a singular 3x3 matrix which relates corresponding points in two views according to the epipolar constraint. fundest computes an estimate which minimizes an appropriate non-linear cost function defined on matching points (currently either Sampson error or symmetric distance of points from their epipolar lines) and includes robust regression techniques for coping with outliers (i.e., mismatched point pairs).
sparseLM is a software package for efficiently solving arbitrarily sparse non-linear least squares problems. It offers a generic implementation of the Levenberg - Marquardt optimization algorithm on top of a variety of sparse direct solvers, thus being applicable to problems with arbitrary sparseness. sparseLM accepts sparse Jacobians encoded in either compressed row storage (CRS) or compressed column storage (CCS, aka Harwell-Boeing) format. It is also possible to supply it just with the Jacobian's sparsity pattern and have its values be numerically approximated using finite differences, or even instruct it to attempt the automatic detection of the sparsity pattern corresponding to the Jacobian of the function to be minimized. Note that for dense non-linear least squares problems, project levmar is more appropriate.
Date::Calc::XS is a Perl module that is the C/XS part which Date::Calc used to consist of. Date::Calc has become a (pure-Perl) wrapper which tries to load Date::Calc::XS, and failing that, loads Date::Calc::PP (a pure-Perl implementation which is now part of Date::Calc and used to be Date::Pcalc).
Py-Lepton is a high-performance, pluggable particle engine and API for Python. The engine is designed to be very flexible and does not rely on any other libraries directly. You can use it either with OpenGL (via pyglet or PyOpenGL), or with pygame by selecting the appropriate renderer. Examples are provided using pyglet and pygame. Note that this is in an alpha state, so expect the API to change somewhat in future releases.
ICSILog is a C-language implementation of a fast single-precision approximation of the natural logarithm with adjustable accuracy. The core idea is to use a quantized version of the mantissa of the input floating point number as a pointer into a lookup table. The amount of quantization of the mantissa determines the table size and therefore the accuracy. Current processors are able to store relatively large lookup tables in cache memory. Therefore an acceptable accuracy can be reached without too many main memory accesses.
MathGL is a library for making high-quality scientific graphics under Linux and Windows, fast data plotting and handling of large data arrays, working in window and console modes, and easily embedding into other programs. It has more than 40 general types of graphics for 1d, 2d, and 3d data arrays. It can export graphics to raster and vector (EPS or SVG) formats. It has an OpenGL interface and can be used from console programs. It has functions for data handling and MGL language scripting for simplification of data plotting. It has several types of transparency and smoothed lightning, vector fonts and TeX-like formula drawing, an arbitrary curvilinear coordinate system, and many other useful things.