Search Results for "r-map"
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Showing 7 open source projects for "r-map"
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NumeRe
Framework for numerical computations, data analysis and visualisation
Curve fitting | Data analysis | Plotting | Matrix operations | FFT | Extensible framework | Multiple file formats | Programmable | Open source | Free for everyone NumeRe: Framework for Numerical Computation is a numerical framework written for Microsoft Windows(R) and released under the GNU GPL v3 for solving and visualizing mathematical and physical problems numerically. Keep simple things simple: You want to plot a sine function? Just enter 'plot sin(x)'. You want to load some data? Enter 'load "path/to/your/file"' or drag the file into the terminal. You need to fit a function to the data? ... -
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SidClock
*nix Sidereal Clock
*nix Sidereal Clock Application -
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darc
Durham Adaptive-optics Real-time Controller
...For the latest bleeding-edge version, please use: git clone git://git.code.sf.net/p/darc2/code darc (no password required) (this changed May 2013 due to a sourceforge update). If you use darc, please cite with: Basden, A and Myers, R, MNRAS Vol 242, page 1483, 2012 -
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EmulMultiFit
Simultaneously fit SAS data with polydisperse core-shell-shell spheres
Keywords: -simultaneously fit several SAXS and SANS data sets with polydisperse (Schultz-Zimm or Gaussian distribution f(R)) spherical core-shell-shell nanoparticles -analytical expressions are used for from factor F(Q) and its integral over f(R), no numerical integration required -absolute units -Mathematica is required via console (MathKernel) -Mathematica's local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters are possible -Monodisperse(!) ... -
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The igraph library
Library for creating and manipulating graphs
This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs. -
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Lm-Algorithm: Algorithm for solving the OZ and PY/HNC equations in two dimensions (binary&monidisperse) for obtaining S(q) and g(r). This is the first algorithm, which is capable of solving long ranged potentials.
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We use R (www.r-project.org) in order to generate a greater specificity and sensitivity of protein identification by Mass Spectrometry. These functions are implemented as add-on packages to the open source GPL software R.
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