Setting Up the Problem (Mathematica Tutorial)

The first argument given to DSolve is the differential equation, the second argument is the unknown function, and the last argument identifies the independent variable. Here ...

Pseudorandom Numbers (Mathematica Tutorial)

Mathematica has three functions for generating pseudorandom numbers that are distributed uniformly over a range of values. Pseudorandom number generation. Generating tables ...

Restricting and Reserving Licenses (Mathematica Tutorial)

Restriction scripts can be very useful in managing sitewide installations of Mathematica. They can be used to prevent access to Mathematica by unauthorized users on the ...

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 ...

Newton's Method (Mathematica Tutorial)

Newton's method for nonlinear equations is based on a linear approximation so the Newton step is found simply by setting M_k(p)=0, Near a root of the equations, Newton's ...

Introduction to J/Link (JLink Tutorial)

Welcome to J/Link, a product that integrates Mathematica and Java. J/Link lets you call Java from Mathematica in a completely transparent way, and it also lets you use and ...

.NET/Link User Guide (NETLink Overview)

Introduction Calling .NET from Mathematica Calling Mathematica from .NET

Code Generation (C Code Generator Tutorial)

Code generation from Mathematica involves converting programs written in the Mathematica language into other languages and then supporting them so that they can be executed. ...

Combinatorica Package (Combinatorica Package Guide)

LinearAlgebra`Orthogonalization` (Mathematica Compatibility Information)

Orthogonalize, Normalize and Projection have been added to the built-in Mathematica kernel. Normalize can now take an arbitrary norm function.