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Dynamic operability is then quantified using a linear matrix inequality (LMI) optimisation approach that minimises a given performance criterion subject to the constraint imposed by the static nonlinearities.
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We used the freely available decision-support tool Marxan version 1.9.5 [7], which employs a simulated annealing algorithm to select multiple alternative sets of areas that meet pre-specified biodiversity targets (e.g. 3 populations of each species) whilst minimising a given cost, usually area.
The total costs, comprising operating costs (freshwater, wastewater treatment, pumping) and investment costs (piping, holding tanks), are minimised for a given time horizon.
This has lead to the definition of two original assembly methodologies that aim to optimise an assembly, so that circularity errors are minimised for a given set of components.
Using simulations the error can be minimised for a given SNR by adjusting the value.
This paper has presented a way of determining an SEGM that combines existing information on the Earth's topography, bathymetry and interior with simulated mass anomalies with the aim to minimise differences to a given EGM.
Individual train speed profiles can also be controlled precisely to minimise energy consumption for a given journey time, including real-time optimisation to take delays into account [2, 34, 35].
It can be regarded as a constrained optimisation approach in that FP is minimised subject to attaining a given level of FN.
It is argued analytically that quadratic-phase pulses are near-optimal in terms of minimising the B1-amplitude for a given bandwidth and flip angle.
The main goal of this study was avoid such extended tails of large force errors and to minimise the computational effort at a given force accuracy.
It allows the team to design an algorithm that provides enough charge for a given commute while minimising the delays experienced by any user.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com