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Representing XML in Mathematica   (XML Package Tutorial)
Mathematica includes comprehensive support for XML, the meta-markup language developed by the World Wide Web Consortium (W3C) for describing structured documents and data. ...
Transforming XML   (XML Package Tutorial)
Mathematica is uniquely suited for processing symbolic expressions because of its powerful pattern-matching abilities and large collection of built-in structural manipulation ...
Concurrency   (Mathematica Guide)
Mathematica provides not only automatic parallelization capabilities, but also a full built-in symbolic language for specifying concurrent computation.
Data Parallelism   (Mathematica Guide)
The functional and list-oriented characteristics of the core Mathematica language allow Mathematica to provide immediate built-in data parallelism, automatically distributing ...
Exponential-Related Distributions   (Mathematica Guide)
Exponential and related distributions occur in a variety of contexts, such as reliability and communication. As such, a large number of extensions and variations of ...
Parallel Computing   (Mathematica Guide)
Mathematica provides a uniquely integrated and automated environment for parallel computing. With zero configuration, full interactivity, and seamless local and network ...
DemandIndex   (Mathematica Indicator)
DemandIndex
Differential Equation Solving with ...   (Mathematica Overview)
Introduction to Differential Equation Solving with DSolve Classification of Differential Equations Ordinary Differential Equations (ODEs)
Brent's Method   (Mathematica Tutorial)
When searching for a real simple root of a real valued function, it is possible to take advantage of the special geometry of the problem, where the function crosses the axis ...
Nonlinear Conjugate Gradient Methods   (Mathematica Tutorial)
The basis for a nonlinear conjugate gradient method is to effectively apply the linear conjugate gradient method, where the residual is replaced by the gradient. A model ...
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