Search Results for "mathematica"

...REDUCE has a long and distinguished place in the history of computer algebra systems. Other systems that address some of the same issues but sometimes with rather different emphasis are Axiom, Derive, Macsyma (Maxima), Maple, Mathematica and MuPAD. REDUCE primarily runs on either Portable Standard Lisp (PSL) or Codemist Standard Lisp (CSL), both of which are included in the SourceForge distribution. By modern standards, REDUCE is a surprisingly small and compact application, which runs well on all major operating systems.

This project connects the ubiquitous circuit simulation software, SPICE, with the powerful tools of Mathematica. This allows the optimization of circuits based on arbitrarily complex criteria. For example, automatically tune component values to match a desired filter profile. Tweak a circuit to maximize its efficiency. Match a circuit's output to an arbitrary waveform. As long as you can quantify your goal as a fitness function, you can automate the search for the optimal component specs.

Version 1.2 is now available! This version is compatible with FeynCalc 9.0 FaRe is a Mathematica package for tensor reduction of Feynman integrals. The integral can be any-rank and any-order. Dimensional reduction is used and the final output is regrouped according to tensor structures. FaRe requires FeynCalc to work. Please refer to http://arxiv.org/abs/1507.03527 for a detailed manual. If you use FaRe in a scientific publication or talk, please give proper academic credit by citing http://inspirehep.net/record/1382623 For any information please write to: m.re-fiorentin AT soton.ac.uk

VectorAlgebra is a Mathematica-package which implements various functions for simple vector calculations in d-dimensional spaces with constant metrics.

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

Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters

Maximum packing densities for individual, polydisperse (diameter), ellipitic platelets and stacks of them (max 5 platelets per stack implemented). Size fractionating for stacks (platelets with diameters below a cut-off diameter remain as individual platelets all others assemble in stacks) can be included. Considers only hard interactions and assumes spherical exclusion volumes.

This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.

Al2 is a language, close to C++ and Java, designed for use in mathematics and science, but is procedural unlike Mathematica and Maple. Like C++, class operators can be defined. Like Java, there is no need for header files. Aled is an interface to AL2.

WITM, is an acronym for Web Interface To Mathematica. WITM allows a workstation running Mathematica and a web server to be accessed from any browser. Care was taken to ensure WITM works well with handheld devices such as PDAs.

Madeline is an open-source clone of Mathematica. It hopes to provide the same efficiency and robustness that are needed for high-end mathematics.

MathROOT is a tool for high-energy physicists to access the ROOT data analysis framework from within Mathematica