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Setting Up External Functions to Be ...   (Mathematica Tutorial)
If you have a function defined in an external program, then what you need to do in order to make it possible to call the function from within Mathematica is to add ...
String Patterns   (Mathematica Tutorial)
An important feature of string manipulation functions like StringReplace is that they handle not only literal strings but also patterns for collections of strings. This ...
J/Link User Guide   (JLink Overview)
Introduction to J/Link Calling Java from Mathematica Writing Java Programs That Use Mathematica
GUIKit Example: Making Progress ...   (GUIKit Package Tutorial)
This example demonstrates various techniques for designing a progress bar dialog and a number of options available to wrap the reusable widget involved. Here is one technique ...
Numerical Differential Equation ...   (Numerical Differential Equation Analysis Package Tutorial)
The NumericalDifferentialEquationAnalysis package combines functionality for analyzing differential equations using Butcher trees, Gaussian quadrature, and Newton-Cotes ...
Primality Proving Package   (Primality Proving Package Tutorial)
This package implements primality proving. If ProvablePrimeQ[n] returns True, then the number n can be mathematically proven to be prime. In addition, PrimeQCertificate[n] ...
FullSimplify   (Built-in Mathematica Symbol)
FullSimplify[expr] tries a wide range of transformations on expr involving elementary and special functions, and returns the simplest form it finds. FullSimplify[expr, assum] ...
Arbitrary-Precision Numbers   (Mathematica Tutorial)
When you do calculations with arbitrary-precision numbers, Mathematica keeps track of precision at all points. In general, Mathematica tries to give you results which have ...
Image Processing   (Mathematica Tutorial)
Mathematica provides built-in support for both programmatic and interactive image processing, fully integrated with Mathematica's powerful mathematical and algorithmic ...
Trust Region Methods   (Mathematica Tutorial)
A trust region method has a region around the current search point, where the quadratic model for "local minimization" is "trusted" to be correct and steps are chosen to stay ...
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