Making Definitions for Indexed Objects (Mathematica Tutorial)

In many kinds of calculations, you need to set up "arrays" that contain sequences of expressions, each specified by a certain index. One way to implement arrays in ...

GPX (Mathematica Import/Export Format)

GPX global positioning data. Standard format for exchanging GPS location data. Stores GIS data recorded with GPS devices. GPX is an acronym for GPS Exchange Format. XML ...

SMILES (.smi) (Mathematica Import/Export Format)

MIME type: chemical/x-daylight-smiles SMILES chemical format. Commonly used to describe the structure of chemical molecules. SMILES is an acronym for Simplified Molecular ...

Variables and Starting Conditions (Mathematica Tutorial)

All the functions FindMinimum, FindMaximum, and FindRoot take variable specifications of the same form. The function FindFit uses the same form for its parameter ...

Financial Indicators (Mathematica Guide)

Mathematica provides a built-in library of a hundred financial indicators that are used to analyze the price movements of stocks, commodities, mutual funds, currency exchange ...

General Graph Drawing (Mathematica Tutorial)

GraphPlot and GraphPlot3D calculate and plot a visually appealing 2D/3D layout of a graph. The functions are designed to work with very large graphs and handle both connected ...

Developing an Export Converter (Mathematica Tutorial)

Mathematica 8 provides functions that allow developers to implement file format converters to be integrated with the Mathematica Import and Export framework. You can ...

XML Formats (Mathematica Guide)

Mathematica's core tree-oriented symbolic language makes it uniquely suited to working with XML. Mathematica can not only import—from files or the web—arbitrary XML with any ...

FASTA (Mathematica Import/Export Format)

MIME type: chemical/seq-aa-fasta, chemical/seq-na-fasta FASTA molecular biology format. Standard format for storing and exchanging DNA and protein sequences. Plain text ...

SmoothKernelDistribution (Built-in Mathematica Symbol)

SmoothKernelDistribution[{x_1, x_2, ...}] represents a smooth kernel distribution based on the data values x_i.SmoothKernelDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...