The Main Loop (Mathematica Tutorial)

In any interactive session, Mathematica effectively operates in a loop. It waits for your input, processes the input, prints the result, then goes back to waiting for input ...

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 ...

Working with String Patterns (Mathematica Tutorial)

The general symbolic string patterns in Mathematica allow you to perform powerful string manipulation efficiently. What follows discusses the details of string patterns, ...

CUDAMemoryLoad (CUDALink Symbol)

CUDAMemoryLoad[list] registers list into the CUDALink memory manager.CUDAMemoryLoad[img] registers img into the CUDALink memory manager.

Performance (DatabaseLink Tutorial)

When large amounts of data are being transferred between Mathematica and a database, you may find that the operations are slow. In this case it may be advantageous to use a ...

Transactions (DatabaseLink Tutorial)

Some database operations involve carrying out a sequence of database commands. For example, information in two different tables may need to be updated. In these cases it may ...

Introduction (NETLink Tutorial)

Welcome to .NET/Link, a product that integrates Mathematica and Microsoft's .NET platform. .NET/Link lets you call .NET from Mathematica in a completely transparent way, and ...

Quaternions Package (Quaternions Package Tutorial)

This package implements Hamilton's quaternion algebra. Quaternions have the form a+bi+cj+dk where a, b, c, and d are real numbers. The symbols i, j, and k are multiplied ...

Specifying Derivatives (Mathematica Tutorial)

The function FindRoot has a Jacobian option; the functions FindMinimum, FindMaximum, and FindFit have a Gradient option; and the "Newton" method has a method option Hessian. ...

Efficiency (Compiled Function Tools Tutorial)

This section is designed to discuss how to make compiled functions run efficiently. It will cover features that make them run faster, as well as problems that can make them ...