By means of Mathematica programming, we construct algorithms enabling us to evaluate various statistical quantities such as moments, correlation function matrices, and ...

This talk will cover creating notations in Mathematica. It will progress from creating basic notations to details on creating templated structures via TagBoxes and the ...

MathOptimizer is a Mathematica application package that provides tools for solving a very general class of global and local optimization problems. It is particularly suited ...

The package NFourierListCoefficients is intended for calculation of list of Fourier coefficients for a given function. It is necessary in many applications when a ...

This package shows how to calculate various thermodynamic properties of a protein-ligand binding reaction like hemoglobin plus oxygen. Different sets of independent intensive ...

Given four numbers drawn from a set of poker cards, the intellectual challenge is to combine them with operators so that the result is 24. In Krypto, 5 numbers from 1 to 25 ...

Symbolic regression via genetic programming is a branch of empirical modeling that evolves summary expressions for available data. Although intrinsically difficult (the ...

By using specific examples--mostly from computational finance--this paper shows that Mathematica is capable of transforming Feynman-type integrals on the pathspace into ...

I wasn't a card magician before. After reading Michael Keleber's paper [1], "The Best Card Trick" (Mathematical Intelligencer 24 #1, Winter 2002), I want to become one. ...

Fluctuation analysis is a time-honored technique for estimating mutation rates. SALVADOR 2.0, a package written in a blend of the Mathematica and the C language, provides the ...