Sentence examples for optimisation from from inspiring English sources
In this article, synthetic strategy and property optimisation from a materials viewpoint in some organic and metal-organic systems are discussed.
The problem is further divided into supply and demand problems, separating a high order linear optimisation from a low order nonlinear optimisation.
Optimisation from the initial design can expand the omnidirectional spectral region at R = 99.5%, as well as show a higher value of R over the initial omnidirectional spectral range.
Other efforts, that examine cloud service optimisation from the cloud consumer perspective, focus on comparing low level performance aspects of cloud services such as CPU and network throughput [9] addressing mainly IaaS-related issues [5, 10] or they are concerned with comparing similar services based on mainly cost issues [11].
In each of the four fields, strategically important challenges for future research are identified including the use of advanced mathematical models and multi-criteria analysis for the optimisation, from the sustainability point of view, of the systems for energy and water supply and management, solid waste management and the utilisation of biomass resources.
Whilst there are several very elegant isothermal amplification approaches, multiplexed amplification remains a challenge, requiring careful experimental design and optimisation, from judicious primer design in order to avoid the formation of primer dimers and non-specific amplification, applied temperature as well as the ratio and concentration of primers.
The idea is to approximate global cost function using a sum of 1D optimisations from all directions though the image.
Sometimes, products resulting from design for environment (DFE) endeavours are sub-optimisations from an environmental perspective, because the tool determines the process and not vice versa.
The results clearly indicate higher gains from quadratic optimisation than from truncation selection.
A versatile method for design and scale-up of CLR processes, starting either from model-based optimisation or from empirically developed processes, is proposed in this paper.
The objective function is calculated by using binary maps, where one map is obtained from the observed seismic data and the other is from one realisation of the optimisation algorithm from the simulation model.
