If one computes the first and second order sensitivities for this

linear system as given in Equations (23) and (24), one obtains:

Here is a mechanical apparatus is presented which allows us to visualise a

linear system in its gradual conversion toward non-linearity.

The Method of Moment (MoM) EM problem description, upon which Momentum's solver algorithms are based, uses a

linear system of equations that are compute-intensive when solving problems with a large number of unknowns.

Matching theory and

linear system theory make different predictions about how the y-asymptote, k, of Herrnstein's (1970) hyperbola varies with reinforcer value.

* Available for linear motion control, configured with our rack as a complete

linear system: the alpha Value

Linear System.

Modeling a lot of these problems leads to a fuzzy

linear system because the inexact kind of real numbers can be modeled in fuzzy numbers.

This leads to a

linear system that is symmetric positive definite and the jump conditions only affect the right-hand side of the

linear system, leading to an easy-to-implement method.

In practice, pure delays are presented in several kinds of systems [9], for this reason, a study is performed to observe whether chaotic behavior is generated from a

linear system with delay and a non-linearity.

Let us consider a sparse

linear system of the following form:

However, there are some dynamic behaviors that cannot be explained by

linear system theories.

Discretization by a five-point finite difference operator leads to the following

linear system:

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