A Listable function threads over its list argument:

Log is listable:

Listable functions combine corresponding elements:

Arguments that are not lists are replicated as needed:

Define a function to be listable:

Most built-in mathematical functions are listable:

Listability works for any nesting depth of lists:

The nesting level of the different arguments need not be the same:

Listability works on other list-like constructs such as SparseArray:

Association:

To apply a function to a vector, take advantage of Listable functions when possible:

Use the listability of Plus, Power, Sin, and Times:

Use Map:

Use Table:

Use Table and Part to access elements of v as might be done in a lower-level language:

The results are the same up to numerical roundoff:

Use efficient sparse arithmetic to numerically solve the heat equation :

Matrix for a second-order approximation to the second derivative on the grid :

Incorporate Dirichlet boundary conditions to form the Jacobian J:

The sparse identity matrix:

Form sparse matrix for using the listability of arithmetic:

LU decomposition of in a functional form:

Step initial condition on spatial grid x using the listability of UnitStep:

Get the solution at , using the backward Euler method:

Listable, in general, functions effectively apply Thread many times:

Applying listable functions to several arrays of equal dimension is equivalent to using MapThread:

Listable functions applied to several arrays require overlapping dimensions to be equal:

Arguments with equal dimensions:

Arguments with equal overlapping dimensions, i.e. {2} has the same leading dimensions as {2,3}:

Arguments with unequal overlapping dimensions, i.e. {2} does not have the same leading dimensions as {3,2}:

Listable functions applied to arrays can be written as a Table:

Let :

In general, :

A function implemented in terms of a listable operation may not need the Listable attribute:

The system symbols with the Listable attribute:

More than half these are arithmetic functions possessing the NumericFunction attribute as well:

The products given by Dot, Times, and KroneckerProduct are inner, element-wise, and outer:

The inner product of two vectors:

The vector resulting from the product of corresponding elements:

The matrix resulting from the outer product of the vectors: