The NAG Toolbox for MATLAB ®

The NAG Toolbox for MATLAB is the largest and most comprehensive single numerical toolkit that both complements and enhances MATLAB. The NAG Toolbox for MATLAB contains over 1,500 functions that provide solutions to a vast range of mathematical and statistical problems. The functionality contained within this toolbox gives a 'one-stop' solution to your numerical computational needs.

What's new at Mark 23?

Key Features

Maths and Stats Functionality

NAG's collection of world-class numerical functions which now includes newly developed functionality designed to address many areas including: global optimization, Linear Quantile Regression and option pricing as well as further extensions in established areas such as statistics, local optimization, linear algebra, ordinary differential equations, regression, random number generation and special functions.

Detailed Documentation

Each routine is accompanied by comprehensive documentation delivered via MATLAB's native help system, or via the web, along with advice on selecting the best algorithms and interpreting the results returned. The documentation is designed to be quick and easy to use by all levels of MATLAB user.

Each routine is accompanied by comprehensive documentation delivered via MATLAB's native help system, or via the web, along with advice on selecting the best algorithms and interpreting the results returned. The documentation is designed to be quick and easy to use by all levels of MATLAB user.

“I really like the NAG toolbox for MATLAB for the following reasons (among others): It can speed up MATLAB calculations ? see my article on MATLAB's interp1 function for example, and it has some functionality that can't currently be found in MATLAB.”

Michael Croucher, University of Manchester (visit Michael's blog for interesting articles, white papers and related discussion).

Using the NAG Toolbox for MATLAB strengthens user capability in numerical and statistical areas such as:

Optimization-both Local and Global Optimization solvers (minimization and maximization – finding the optimum)
Ordinary and partial differential equations
Wavelets
Option Pricing
Partial Least Squares and Ridge Regression
Nearest Correlation Matrix
Quantiles
Mesh generation
Numerical integration
Roots of nonlinear equations
Dense, banded and sparse linear equations
Eigenvalue problems
Linear and nonlinear least squares problems
Special functions
Curve and surface fitting and interpolation
Large scale eigenproblems
Large, sparse systems of linear equations
Random number generation
Simple calculations of statistical data
Correlation and regression analysis
Multivariate methods
Analysis of variance and contingency table analysis
Time series analysis
Nonparametric statistics
Copulas

Regular Updates

To ensure that we meet your existing and future requirements, the NAG Toolbox for MATLAB is regularly updated with new and enhanced algorithms for use in evolving business areas and to reinforce the learning function in instruction.

Online Documentation

The software in the NAG Toolbox for MATLAB is accompanied by first-class electronic help giving you the detailed information you need to carry out your work quickly and effectively.

Using equivalent algorithms from C, .NET and Fortran

The algorithms that comprise the Toolbox are also available in a C Library, a .NET Library and a Fortran Library, format that can be called from many environments, as well as in high performance parallel forms. Users can port solutions into performance and production applications and still maintain the best numerical accuracy.

Expert Support

If you subscribe to our dedicated Customer Support Service, not only will you automatically receive any update that is produced, but you will have access to our domain experts, who are there to assist you with your technical queries or difficulties.

Quality Assurance

The validity of each NAG function is tested on each of the machine ranges for which the product is available. Only when an implementation satisfies our stringent accuracy standards is it released. As a result, you can rely on the proven accuracy and reliability of the functions to give you the right answers.