linear system

This is often, but not always, a completely linear system.

In linear systems they do not interact with each other.

But a marriage or a love affair can never be a linear system.

In linear systems, effect is always directly proportional to cause.

One have to see that the linear system is homogenous.

The addition of noise to a linear system will always decrease the information transfer rate.

This, with the constraints, gives a linear system in the u'.

This linear system can then be solved by standard matrix methods.

However, a standard linear system has yet to emerge.

For linear systems, this can be obtained by directly placing the poles.

A linear system will have no tune shift with amplitude.

A linear system may behave in any one of three possible ways:

A linear system is consistent if it has a solution, and inconsistent otherwise.

Thus we get a linear system of equations in :

Do you realize this girl has an advanced degree in linear systems optimization theory?

This is known as the superposition principle, valid for linear systems.

Sample and hold circuits are used in linear systems.

It is possible to find the exact solution of this linear system, but here, we are only interested in the qualitative behavior.

It provides useful information on stability and causality of linear systems.

The result is a linear system of equations that can be expressed as:

Multigrid preconditioning is used in practice even for linear systems.

In effect it is a resolver unwound into a linear system.

The canonical form may be viewed as an explicit solution of the linear system.

At the second step, a linear system of two algebraic equations has to be solved.

Note also how the procedure works by solving just linear systems, in which the matrix remains constant.