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Dynamic   (Built-in Mathematica Symbol)
Dynamic[expr] represents an object that displays as the dynamically updated current value of expr. If the displayed form of Dynamic[expr] is interactively changed or edited, ...
WordData   (Built-in Mathematica Symbol)
WordData["word", " property"] gives the specified property for the English word " word".WordData["word"] gives a list of full word specifications representing possible uses ...
Introduction to Advanced Numerical ...   (Mathematica Tutorial)
The Mathematica function NDSolve is a general numerical differential equation solver. It can handle a wide range of ordinary differential equations (ODEs) as well as some ...
MathLink Development in C (Windows)   (Mathematica Tutorial)
This document describes how to compile and run MathLink programs written in the C language on computers running a Microsoft Windows operating system. ("MathLink and External ...
Parallel Evaluation   (Parallel Package Tutorial)
Recall that connections to remote kernels, as opened by LaunchKernels, are represented as kernel objects. See the chapter Connection Methods for details. The commands in this ...
BetaPrimeDistribution   (Built-in Mathematica Symbol)
BetaPrimeDistribution[p, q] represents a beta prime distribution with shape parameters p and q. BetaPrimeDistribution[p, q, \[Beta]] represents a generalized beta prime ...
CensoredDistribution   (Built-in Mathematica Symbol)
CensoredDistribution[{x_min, x_max}, dist] represents the distribution of values that come from dist and are censored to be between x_min and ...
Exact Global Optimization   (Mathematica Tutorial)
Exact global optimization problems can be solved exactly using Minimize and Maximize. This computes the radius of the circle, centered at the origin, circumscribed about the ...
MathLink Development in C (Mac OS X)   (Mathematica Tutorial)
This document describes how to compile and run MathLink programs written in the C language on Mac OS X systems. ("MathLink and External Program Communication" describes how ...
The shooting method works by considering the boundary conditions as a multivariate function of initial conditions at some point, reducing the boundary value problem to ...
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