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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
NAIL is a toolset for network analysis in the life sciences
The NAIL (Network Analysis and Inference Library) project is a set of tools for solving problems in the life sciences using network (graph) approaches. NAIL includes methods for creating networks, analysing and comparing networks, and for visualising or presenting the results. These methods are designed as self-contained platform-independent components which can be called either from another program, or from a command line.
Modelling biological systems as networks (graphs) is becoming...
Matlab code to visualise brain graphs from connectivity matrices
This very configurable script allows you to plot a 3D (MNI space) visualisation of a brain graph, with edges represented by cylinders and vertices represented by spheres. To aid orientation, a cortical mesh can be added, as can convex hull outlines.
The colouring and sizing scheme is fully configurable for both edges and vertices.
You can see some example output in...
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DUAL CONSTRAINED TV-BASED REGULARIZATION ON GRAPHS
... of the TV problem may be solved by means of fast parallel proximal algorithms. On denoising and deblurring examples, the proposed approach is shown not only to perform better than recent TV-based approaches, but also to perform well on arbitrary graphs instead of regular grids. The proposed method consequently applies to a variety of other inverse problems including image fusion and mesh filtering.
Complex Systems is a toolbox for SCILAB software.
This toolbox measures some parameters for graphs representing
complex systems: degree distribution, average neighboring degree, average clustering, and shell index (from k-core decomposition).
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