Sentence examples for instance as a function from inspiring English sources

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Furthermore, the structural identification we presented could also be used to identify recurring artifacts in atomically resolved imaging such as dynamic scattering and electron beam channeling [38], by comparing local state descriptors obtained from a library of simulated images, for instance, as a function of thickness, to those local descriptors extracted from experimental data.

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This paper provides a systematic analysis of many properties of the fitness landscape for random instances as a function of both the problem size and the number of colours used.

Figure 9 depicts the number of handover instances as a function of the simulation runtime.

Figure 12 visualizes the number of events that can be filtered per second by one instance of the SCB as a function of the number of filter rules in case none of these events are present in the cache.

Examples of such behaviour could, for instance, be braking behaviour as a function of headway to an obstacle [8], or steering behaviour as a function of perceptual inputs [14].

The derivation of the benefit of completion described therein is based on two identical models modeling the benefit variable of interest (for instance 'employment after training') as a function of a number of predictors, such as sex, age group, location, field of education, qualification level, study status, socio economic status, employment status before training, and prior education.

Each day, among these accessible meshes, a simulated bird selected a halt mesh (i.e. stopover site), for instance to rest and feed), as a function of its preference (P).

One may consider, for instance, the analysis of a proposition as a function that correlates possible worlds with truth-values.

To calculate descriptors of a single molecule, an instance of Calculator can be used as a function.

For instance, with l2b.glob the RARMISE increased as a function of ε for σ θ anc, but decreased for ω.

If it is expected that the transition probability (for instance toward death) will not change as a function of the time since randomization or inclusion, the analysis can be based solely on the semi-Markov model and it can thus be studied how the transition probability evolves after an event has taken place (for instance after nosocomial infections).

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