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The cell performance was found to increase significantly at a certain, optimal deflection.
Recursive design procedures, such as backstepping and forwarding, achieve certain optimal properties for important classes of nonlinear systems.
This ability to control and filter light with great efficiency makes them hugely useful for applications such as increasing the efficiency of photovoltaic cells by absorbing light at certain optimal wavelengths.
The main conclusion obtained is anticipating the fact that exists a certain optimal TES driving temperature value leading to the maximisation of the plant's performance.
To solve these problems, certain optimal alternate algorithms are proposed, and the proof for the convergence of the algorithms is presented.
It is shown that this yield reaches a maximum at a certain optimal flowrate of LN2 stream, creating a challenging feedback controller design problem.
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Any good design should intend to achieve certain optimality, though optimal solutions are often difficult to find in practice since uncertainty and nonlinearity always present in almost all real-world problems.
For reoptimization, the rationale behind is whether there is any possibility to answer a TSP query based on an indexing to maintain certain length optimal circuit, even though it is known that the local optimal property does not hold.
It is then shown that, under certain condition, optimal smoothing splines converge to this curve as the number of data increases.
For each kind of plate, subject to certain constraints, optimal configurations are found – in case they exist – which present the lowest number of plates and, consequently, the smallest area.
This information will then be used as input for the intelligent system, to determine why the trainee made certain less optimal decisions and to teach her how to improve this.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com