Showing 3 open source projects for "evolution-x"

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  • 1
    rayshade-mathematica

    rayshade-mathematica

    rayshade and POV for Mathematica Export + view

    Beautifully Render* your Graphic3D and Shown or Manipulate right in the Front End (without Export to, ie 3DStudio Art Renderer, et al). For use with Mathematica 4.0 - 13.1. Makes file.ray or .pov that will look much like image in notebook except rendered. Works easily/automatically with many Graphics3D (and some Graphic) as well. However graphics in 13.1 is too big to comment on: many will work many not. Has many options to fix renders that aren't so auto. Now very portable...
    Downloads: 1 This Week
    Last Update:
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  • 2
    n-chinese-remainders

    n-chinese-remainders

    chinese remainder theorem - progressive solving, n-soln, extras

    ...Which means crtwo, unlike text book soln, uses an algorithm to solve or fail one mod equation at a time. showing win or fail of each eqn and solving other sawtooth intersections is possible, due to that. crAll2@crtwo provides n soln near x for CR using width of soln crchart3 shows sawtooth CR waves and visible soln align1: solves i m2 == j m2 + b -> {i,j,dist} (like PowerMod->i but b is any and gcd(m1,m2) not req.) other funs: Euclidians, showFactors, changeBaseArr, caesar, rsa, inverseMod, IntToModTups (large number math for PC's) crfindnSolnAfterxInEqm (solve saw wave LL,RL,LR,... intersects) congruence, plots, y-shifted triangular wave solve, testing (for historic reasons files are also in https://sourceforge.net/projects/periodictablemm/)
    Downloads: 0 This Week
    Last Update:
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  • 3

    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(!) hard sphere structure factor can be used, too -long computation times (depending on problem size and amount of constraints) from hours to a few days are possible -non-parallelized code
    Downloads: 0 This Week
    Last Update:
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