We investigate the control problem of the optimal choice of idle server (if any) for arriving customer in order to minimize the mean system time (waiting time + service time). The considered MAP/MAP/N queue consists of a common infinite buffer and multiple identical servers with MAP service processes whose phases (internal states) are known. Customers arrive according to a MAP (whose phase is a...

abstract nowadays, fuzzy technique is used to prepare the map in different sciences, extensively. with due attention to important role of soil fertility in modern agriculture, the preparation of soil fertility map seems to be necessary to plan for appropriate using of fertilizers for crops. this study was conducted to prepare a distinct map for evaluating soil fertility according to soil availa...

In this paper we prove that in any non-trivial real analytic family of quasiquadratic maps, almost any map is either regular (i.e., it has an attracting cycle) or stochastic (i.e., it has an absolutely continuous invariant measure). To this end we show that the space of analytic maps is foliated by codimension-one analytic submanifolds, “hybrid classes”. This allows us to transfer the regular o...

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<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: justify; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; backgro...

Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...

Nonparametric latent feature models offer a flexible way to discover the latent features underlying the data, without having to a priori specify their number. The Indian Buffet Process (IBP) is a popular example of such a model. Inference in IBP based models, however, remains a challenge. Sampling techniques such as MCMC can be computationally expensive and can take a long time to converge to t...