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Let us formulate the results obtained.
The focal point is to formulate the results as convex optimization over linear matrix inequalities (LMIs).
We formulate the results concerning the main system, but we will make the description according to the parameters introduced for the normal form (15) in Sect.
In order to formulate the results, we extend to multivalued mappings the notion of weakly isotone increasing mappings given by Vetro [[28], Definition 4.2].
First, we formulate the results only for the simplest problem (1 - 2) with the null operator T + : x ˙ ( t ) = − ( T − x ) ( t ) + f ( t ), t ∈ [ a, b ], x ( a ) = x ( b ), (6).
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We formulate the result for the Wiener integrator, the Ornstein Uhlenbeck integrator can be treated analogously.
To formulate the resulting MSE, we introduce the random signal being subject to and.
We then formulate the resulting scattering problem as a linear least squares problem and solve it accordingly.
The following result about the existence and uniqueness of solutions of equation (1.1) can be obtained by the standard Faedo-Galerkin methods, here we only formulate the result.
We shall formulate the result for nonself-mappings since the case of self-mappings is a special case of this one.
We formulate the resulting minimum labeling problem, show that it is NP complete and characterize its solutions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com