abstract morphological river models are designed to provide physical insight into the morphological response and to assist river engineers and managers in the design, operation and maintenance of river systems. here deterministic modeling weak for a dynamic and stochastic of nature river environment. specially, these could not predict the exact shape of the river bed, specially e.g. for braided...

EEcient abstractions for Location management is a key consideration in wireless networks that support Universal Personal Communications. Location management involves a tracking component that maintains dynamic data on the location of mobile stations through a distributed database, and a search component that prescribes the manner in which the wireless network is to be paged so as to determine t...

In space state models for time series, a key point is the decision between modeling trend of non-stationary processes through deterministic or stochastic term. The present paper introduces Monte Carlo hypothesis test procedure to guide in such decision. method works any series distribution belonging location-scale family. proposed provides an alpha-level length greater than 3 and it does not de...

This study presents a capacitated multi-facility location-allocation problem with stochastic demands based on a well-known distribution function. In this discrete environment, besides the capacitated facilities, we can employee the capacitated sub-source of each facility for satisfying demands of customers. The objective function is to find the optimal locations of facilities among a finite num...

The stochastic transportation problem involves in many areas such as production scheduling, facility location, resource allocation, logistics management. Constructing an operable solving method has important theoretical and practical value. In this paper, we first analyze the characteristic and deficiencies of the existing stochastic programming methods, such as higher computation complexity. W...

We study the stochastic heat equation ∂tu = Lu+σ(u)Ẇ in (1+1) dimensions, where Ẇ is space-time white noise, σ : R → R is Lipschitz continuous, and L is the generator of a Lévy process. We assume that the underlying Lévy process has finite exponential moments in a neighborhood of the origin and u0 has exponential decay at ±∞. Then we prove that under natural conditions on σ: (i) The νth absolut...

We apply the recently introduced method of stochastic extremum seeking to navigate a nonholonomic unicycle towards the maximum of an unknown, spatially distributed signal field, using only the measurement of the signal at the vehicle’s location butwithout themeasurement of the vehicle’s position. Keeping the forward velocity constant and controlling only the angular velocity, we design a stocha...

Combinatorial optimization problems have applications in a variety of sciences and engineering. In the presence of data uncertainty, these problems lead to stochastic combinatorial optimization problems which result in very large scale combinatorial optimization problems. In this paper, we report on the solution of some of the largest stochastic combinatorial optimization problem consisting of ...

A simple stochastic model is designed and analyzed in order to further understand the transition to strong convection. The transition has been characterized recently in observational data by an array of statistical measures, including (i) a sharp transition in mean precipitation, and a peak in precipitation variance, at a critical value of column water vapor (CWV), (ii) approximate power-law in...

This paper proposes a novel facility location model for health service network design by considering different key elements including the reliability aspects, service capacity, congestion, service quality, surrounding public infrastructures, geographical accessibility and several types of cost such as investment, transportation and operational costs. We formulate the problem as a robust scenari...