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In this paper we address a problem consisting of determining the routes and the hubs to be used in order to send, at minimum cost, a set of commodities from sources to destinations in a given capacitated network.
The design strategy is based on a simple interpretation of the H2-optimal rejection problem with preview as a compound optimal control problem, i.e. as a problem consisting of a finite-horizon LQ control problem with constrained final state, an infinite-horizon LQ control problem, and the problem of minimizing the global cost functional.
In this paper, we study the existence and uniqueness of solutions for a problem consisting of nonlinear Langevin equation of Riemann-Liouville type fractional derivatives with the nonlocal Katugampola fractional integral conditions.
In this paper, we study the existence and uniqueness of solution for a problem consisting of a sequential nonlinear fractional Caputo-Langevin equation with nonlocal Riemann-Liouville fractional integral conditions.
In [9], based on the shifted Legendre orthonormal polynomials, Ezz-Eldien et al. employed the operational matrix of fractional derivatives, the Legendre-Gauss quadrature formula and the Lagrange multiplier method for reducing such a problem into a problem consisting of solving a system of algebraic equations.
These particular robots are specifically designed to solve a problem consisting of the retrieval of their life-essential batteries from a room, under the threat of a ticking bomb set to go off soon.
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The solution of the RDQ-A problem consists in new reconfiguration actions, i.e. new allocations: (i) of available RATs to the transceivers of a BS, (ii) of demand (users) to transceivers and (iii) of QoS levels (bitrate) to users.
Such a problem consists in a reconstruction of the function describing the coefficient of heat-transfer, when the positions of the moving solid and liquid interfaces are well-known.
An instance of such a problem consists of a set of variables V and a set of constraints C, where each constraint is an ordered triple of distinct elements from V. The goal is to construct a linear ordering α on V such that, for each constraint (a,b,c ∈C, the ordering of a, b, c induced by α is in Π.
According to these references, we see that the implementation of the reproducing kernel method for solving a problem consists of four stages.
Recently, Maity and Roy (2015) studied a mathematical model for a transportation problem consisting of a multi-objective environment with non-linear cost and multi-choice demand.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com