NDSolve::eerr (Mathematica Message)

NDSolve::eerr

NDSolve::mxst (Mathematica Message)

NDSolve::mxst

Linear Algebra in Mathematica (Mathematica Overview)

Introduction Matrix and Tensor Operations Working with Sparse Arrays

Working with Sparse Arrays (Obsolete Mathematica Tutorial)

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 ...

NIntegrateInterpolatingFunction (Obsolete Function Approximations Package Symbol)

As of Version 6.0, NIntegrate natively supports InterpolatingFunction objects.

NonlinearRegress (Obsolete Nonlinear Regression Package Symbol)

As of Version 7.0, NonlinearRegress has been superseded by NonlinearModelFit and is part of the built-in Mathematica kernel.

Linear Algebra Examples (Obsolete Mathematica Tutorial)

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 to Linear Algebra in ... (Obsolete Mathematica Tutorial)

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 ...

Matrix Types (Obsolete Mathematica Tutorial)

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 ...

Performance of Linear Algebra ... (Obsolete Mathematica Tutorial)

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 ...