The built-in function FindFit allows you to perform nonlinear least squares fitting. The function NonlinearRegress gives a number of regression diagnostics and allows you to ...

As of Version 8.0, ExpectedValue has been superseded by Expectation and NExpectation.

ARPACK is a collection of Fortran77 subroutines designed to solve large-scale eigenvalue problems. http://www.caam.rice.edu/software/ARPACK The ATLAS (Automatically Tuned ...

This tutorial shows a number of examples of the use of Mathematica for computations that involve linear algebra. Certain sparse matrix techniques try to reorder the matrix so ...

Introduction Matrix and Tensor Operations Working with Sparse Arrays

Mathematica has a broad range of functions to support linear algebra operations and to integrate them into the system. It can work with vectors, matrices, and tensors that ...

This tutorial reviews the functions that Mathematica provides for building and working with matrices, vectors, and tensors. It focuses on functions that are specific to ...

Matrices in Mathematica can be constructed from all the different types of objects that Mathematica holds. They can contain machine-precision real and complex floating-point ...

This tutorial covers issues related to performance. One of the challenges of building Mathematica is to make sure that the system is general enough to support symbolic ...

Sparse representations of matrices are useful because they do not store every element. If one particular value appears very frequently it can be very advantageous to use a ...