Sentence examples for convergence concepts from inspiring English sources

Exact(3)

The results state qualitative connections between the models formulated as precise probabilistic convergence concepts.

Usually, two types of convergence concepts are used in the literature.

This result also allows to obtain limits for qualitatively different stochastic convergence concepts, e.g., convergence in the mean.

Similar(57)

In addition, Apple could run into problems with the convergence concept behind its iPhone.

We recall some concepts from probabilistic metric space [6, 7] and convergence concept.

The automated controller design is based on the so-called finite-time convergence concept after compensating for the nonlinearities of powertrain dynamics via an inverse model.

Two concepts will be discussed below: the first concept tackles the properties of infinitely often events and is also closely connected with the convergence concept, and the second one is based on some properties of the Lebesgue integral with respect to a probabilistic measure and is related to the possibility to take limits under the sign of 'mathematical expectation'.

Usually, the GDP per capita convergence concept has been used in the literature for testing regional disparities or catching-up hypothesis.1 A reduction in regional disparities can also be attributed to the enhancement of innovation and technology, narrowing technological gap, improvement in living standards and particularly labour productivity convergence.

Reversing the order of integration and using the convergence concept of a generalized function we have the inner integral e^{iKs} int_{ - infty }^{infty } {S_{xi xi } (K e^{i(K - Upomega )X} } {text{d}}X = 2pi delta (K - Upomega ){text{e}}^{iKs}.

However, the convergence of concepts emerging on the construct across peer-reviewed scholarly literature leads to a common understanding that social enterprises are of a hybrid nature, which marries 'market' and 'social' for a double bottom line (Sengupta & Sahay 2017a).

The paper focuses on France, Germany and The Netherlands, countries with a track record in quantitative systems modelling, to identify convergence of concepts and technologies applicable to assessment of multifunctional agriculture and to establish shortcomings through analysis and comparison of 15 integrative modelling cases.

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