Showing 3 open source projects for "problem a"

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  • 1

    Book-Reviews-In-Mathematica

    Partial Differential Equations, Complex Analysis, Mathematica, Farlow

    Cliff* Notes, Mathematica Evaluatable "Partial Differential Equations for Scientists and Engineers", Farlow "Physics for Scientists and Engineers", Serway "A First Course in Complex Analysis", Beck "PDE", Asmar "PDE, An Introduction", Colton "Elementary Differential Equations", 7th, Rainville "Ordinary Differential Equations", Tenenbaum "Linear Algebra And It's Applications", Lay "Swokowski Calculus", 5th, Swokowski "Chemistry Concepts & Problems, A Self-Teaching Guide",...
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  • 2
    geodetic-basic-eqn-mathematica

    geodetic-basic-eqn-mathematica

    geocentric <> geodetic <> XYZ basic equations

    This is for Mathematica. 1) list of geocentric <> geodetic <> XYZ related equations* 2) quick plots using them (3d poly globe) 3) wikipedia article summarizing the above 4) one equation is by author of this paper. shows that using (new) geometry observation, Heiskanen and Moritz or Ferrari equations were not necessary as the problem is not inheirently recursive as they suggested. (see article) *gleened from many onlne sources. file geodetic-geodesic is same, improperly named) (for historic reasons files are also in https://sourceforge.net/projects/periodictablemm/)
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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
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