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end{aligned}It is clear that the first variation of a functional is a crucial tool to write optimality conditions for variational problems involving such a functional.
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A functional is called a function modular if: (1) for any ; (2) whenever for any, and.
It is well known that a continuous linear functional is bounded, and finding the bound or norm of a continuous linear functional is a fundamental task in functional analysis.
We suppose that, the nonlinearity satisfies the potential Landesman Lazer condition and prove that a critical point of a corresponding energy functional is a solution to this problem.
However, modeling the dynamics of epidemics using a nonparametric functional is a viable option (e.g. Gaussian processes, wavelets, or splines).
A possible form of such a functional is then (1.5).
The control function is a functional of a previous phase state.
Hirano et al. [5] proved a Hahn-Banach theorem in which a concave functional is dominated by a sublinear functional in a nonempty convex set.
Starting from a trial-Lagrangian, a generalized functional is derived through a systematic procedure of the semi-inverse method proposed by Ji-Huan He.
A stabilizing functional is used to select an appropriate class of models from the space of all possible models.
A L2-cost functional is considered and a location indicator is constructed from its topological derivative.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com