The machine learning framework for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the main purpose of data analysis. ...

In this seminar, Tom Wickham-Jones, Director of Strategic Kernel Technology at Wolfram Research, Inc. and key developer of webMathematica, will introduce this new technology ...

Interactive graphics effectively expresses the dynamic structure of a model, and helps improve the intuitive understanding of concepts in the sciences. Also it can be used as ...

Spatial analysis is an emerging field in statistics that involves modeling and inference of spatial data with wide applications in GIS, remote sensing, epidemiology, ...

The classical Cauchy-type complex singular integral equation for the general curvilinear crack problem in plane isotropic elasticity is rederived by using an appropriate ...

There are dozens of useful features in the completely reworked Mathematica Link for Microsoft Excel. Most of the limitations of the earlier version have been effaced, and the ...

This tutorial introduces you to .NET/Link, a product that integrates Mathematica and Microsoft's .NET platform. .NET/Link lets you call .NET from Mathematica in a completely ...

Note: This is a discontinued product.Mathematica Link for LabVIEW provides a bridge between Mathematica and LabVIEW, allowing users to control a LabVIEW application (Virtual ...

MathLink allows external programs both to call Mathematica, and to be called by Mathematica. By using MathLink, you can, for example, treat Mathematica essentially like a ...

Symbolic Computing package is an add-on package that facilitates symbolic computation in Mathematica. It enables display and interpretation of derivatives, integrals, sums, ...