Under mild conditions this function will be differentiable as a function of the parameter vector .

Each parameter vector is associated with a decision function .

To start a minimization, the user has to provide an initial guess for the parameter vector, β.

A very common special case is the symmetric Dirichlet distribution, where all of the elements making up the parameter vector have the same value.

From input data via a graphics tablet, a sequence of parameter vectors are produced to represent a word.

These parameter vectors contain estimated strings of letters.

The error function is thus quadratic with respect to the parameter vector and can be differentiated easily to a linear system.

It uses a special symmetrical property of parameter vectors on subsequent recursion levels.

In design space approximation, one is not interested in finding the optimal parameter vector but rather in the global behavior of the system.

Phil Roe introduced a method of parameter vectors to find such a matrix for some systems of conservation laws.