237 research outputs found
Telecommunication carrier selection under volume discounts: a case study.
During 2001 many of the European mobile phone markets have reached saturation, and hence mobile phone operators have shifted their attention from growth and market share to cutting costs. One way of doing so is to reduce spending on international calls which are routed via network operating companies (carriers). These carriers charge per call-minute for each destination and may use a joint business volume discount to price their services. We developed a software system that supports the decision of allocating destinations to carriers. The core of this system is a min-cost flow routine that is embedded in a branch-and-bound framework. Our system not only solves the operational problem to optimality, it is also capable of performing what-if analyses and sensitivity analysis. It has been implemented at a major telecommunication services provider. The main benefits realized are twofold: the business process of allocating carriers to destinations has been structured and the costs arising from routing international calls have significantly decreased.Selection; Case studies; Studies; Markets; Market; Costs; International; Companies; Software; Decision; Framework; Sensitivity; Processes;
Pricing bridges to cross a river.
We consider a Stackelberg pricing problem in directed, uncapacitated networks. Tariffs have to be defined by an operator, the leader, for a subset of m arcs, the tariff arcs. Costs of all other arcs are assumed to be given. There are n clients, the followers, that route their demand independent of each other on paths with minimal total cost. The problem is to find tariffs that maximize the operator's revenue. Motivated by problems in telecommunication networks, we consider a restricted version of this problem, assuming that each client utilizes at most one of the operator's tariff arcs. The problem is equivalent to pricing bridges that clients can use in order to cross a river. We prove that this problem is APX-hard. Moreover, we show that uniform pricing yields both an m–approximation, and a (1 + lnD)–approximation. Here, D is upper bounded by the total demand of all clients. We furthermore discuss some polynomially solvable special cases, and present a short computational study with instances from France Télécom. In addition, we consider the problem under the additional restriction that the operator must serve all clients. We prove that this problem does not admit approximation algorithms with any reasonable performance guarantee, unless NP = ZPP, and we prove the existence of an n–approximation algorithm.Pricing; Networks; Tariffs; Costs; Cost; Demand; Problems; Order; Yield; Studies; Approximation; Algorithms; Performance;
Dynamical Friction in Gravitational Atoms
Due to superradiant instabilities, clouds of ultralight bosons can
spontaneously grow around rotating black holes, creating so-called
"gravitational atoms". In this work, we study their dynamical effects on binary
systems. We first focus on open orbits, showing that the presence of a cloud
can increase the cross section for the dynamical capture of a compact object by
more than an order of magnitude. We then consider closed orbits and demonstrate
that the backreaction of the cloud's ionization on the orbital motion should be
identified as dynamical friction. Finally, we study for the first time
eccentric and inclined orbits. We find that, while ionization quickly
circularizes the binary, it barely affects the inclination angle. These results
enable a more realistic description of the dynamics of gravitational atoms in
binaries and pave the way for dedicated searches with future gravitational wave
detectors.Comment: 36 pages, 13 figure
Stochastic models and algorithms dedicated to the 60th birthday of Professor Eugene A. Feinberg
Cache as ca$h can
In this contribution several caching strategies for the World Wide Weba re studied. Special attention is paid to the so-called proxy placement, i.e. placing of caches on carefully selected nodes in the network near to the end users
Random multi-index matching problems
The multi-index matching problem (MIMP) generalizes the well known matching
problem by going from pairs to d-uplets. We use the cavity method from
statistical physics to analyze its properties when the costs of the d-uplets
are random. At low temperatures we find for d>2 a frozen glassy phase with
vanishing entropy. We also investigate some properties of small samples by
enumerating the lowest cost matchings to compare with our theoretical
predictions.Comment: 22 pages, 16 figure
Disks, spikes, and clouds: distinguishing environmental effects on BBH gravitational waveforms
Future gravitational wave interferometers such as LISA, Taiji, DECIGO, and
TianQin, will enable precision studies of the environment surrounding black
holes. In this paper, we study intermediate and extreme mass ratio binary black
hole inspirals, and consider three possible environments surrounding the
primary black hole: accretion disks, dark matter spikes, and clouds of
ultra-light scalar fields, also known as gravitational atoms. We present a
Bayesian analysis of the detectability and measurability of these three
environments. Focusing for concreteness on the case of a detection with LISA,
we show that the characteristic imprint they leave on the gravitational
waveform would allow us to identify the environment that generated the signal,
and to accurately reconstruct its model parameters.Comment: 8 pages, 4 figures, 2 tables plus appendice
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