Sfoglia per Soggetto "Approximation algorithms"
Items 1-20 di 24
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Approximation caching and routing algorithms for massive mobile data delivery
(2013)Small cells constitute a promising solution for managing the mobile data growth that has overwhelmed network operators. Local caching of popular content items at the small cell base stations has been proposed in order to ... -
Band Preconditioners for Non-Symmetric Real Toeplitz Systems with Unknown Generating Function
(2021)Toeplitz systems appear in a variety of applications in real life such as signal processing, image processing and restoration and discretization of PDEs. The fast convergence to the accurate solution of the system seems ... -
Bayesian finite element model updating
(2019)In this chapter, the implementation of the reduced-order models within Bayesian finite element model updating is explored. The Bayesian framework for model parameter estimation, model selection, and robust predictions of ... -
Bayesian Hierarchical Models for Uncertainty Quantification in Structural Dynamics
(2014)The Bayesian framework for hierarchical modeling is applied to quantify uncertainties, arising mainly due to manufacturing variability, for a group of identical structural components. Parameterized Gaussian models of ... -
Calculation of multiple critical depths in open channels using an adaptive cubic polynomials algorithm
(2020)A method for the calculation of multiple critical depths in compound and natural channels, using an adaptive cubic polynomials algorithm (ACPA), is presented in this paper. The algorithm is based on the approximation of ... -
Convex approximation algorithms for back-pressure power control of wireless multi-hop networks
(2011)Cross-layer design and operation of wireless networks has attracted significant interest in the last decade, yet some basic problems in the area remain unsolved. In this paper, we consider the joint routing and power control ... -
Data-driven uncertainty quantification and propagation in structural dynamics through a hierarchical Bayesian framework
(2020)In the presence of modeling errors, the mainstream Bayesian methods seldom give a realistic account of uncertainties as they commonly underestimate the inherent variability of parameters. This problem is not due to any ... -
Efficient techniques for bayesian inverse modeling of large-order computational models
(2013)Bayesian tools for inverse modeling are based on asymptotic approximations and Stochastic Simulation Algorithms (SSA). Such tools require a number of moderate to large number of system re-analyses. For large-order numerical ... -
Exploiting task-based parallelism in Bayesian Uncertainty Quantification
(2015)We introduce a task-parallel framework for non-intrusive Bayesian Uncertainty Quantification and Propagation of complex and computationally demanding physical models on massively parallel computing architectures. The ... -
Exploiting user mobility for wireless content delivery
(2013)We consider the problem of storing segments of encoded versions of content files in a set of base stations located in a communication cell. These base stations work in conjunction with the main base station of the cell. ... -
FPGA Architectures for Approximate Dense SLAM Computing
(2021)Simultaneous Localization and Mapping (SLAM) is the problem of constructing and continuously updating a map of an unknown environment while keeping track of an agent's trajectory within this environment. SLAM is widely ... -
Hierarchical Bayesian operational modal analysis: Theory and computations
(2020)This paper presents a hierarchical Bayesian modeling framework for the uncertainty quantification in modal identification of linear dynamical systems using multiple vibration data sets. This novel framework integrates the ... -
Information-driven modeling of structures using a Bayesian framework
(2018)This work presents a comprehensive Bayesian framework for integrating information from data and models of civil infrastructure systems. In the proposed framework, modeling uncertainties are quantified and propagated through ... -
Joint QoS multicast power / admission control and base station assignment: A geometric programming approach
(2008)The joint power control and base station (BS) assignment problem is considered under Quality-of-Service (QoS) constraints. If a feasible solution exists, the problem can be efficiently solved using existing distributed ... -
Link scheduling for multiple multicast sessions in distributed wireless networks
(2013)In this letter we investigate link scheduling algorithms for throughput maximization in multicast wireless networks. According to our system model, each source node transmits to a multicast group that resides one hop away. ... -
On multicast beamforming and admission control for UMTS-LTE
(2008)Transmit beamforming for physical layer multicasting is emerging as an appealing transmission modality for next-generation cellular wireless systems, notably UMTS-LTE. Optimal design of the transmit beamformer(s) from a ... -
On the Complexity of Optimal Content Placement in Hierarchical Caching Networks
(2016)The ever increasing demand for content is straining operators' networks, thereby necessitating development of alternative content delivery mechanisms. Distributed caching architectures constitute a promising solution for ... -
On the Sparsification of the Reluctance Matrix in RLCk Circuit Transient Analysis
(2018)The ever increasing frequency scaling of contemporary very large scale integrated circuits has introduced the necessity to factor in signal integrity the analysis of inductive effects arising within the different blocks ... -
Online Inter-Datacenter Service Migrations
(2020)Service migration between datacenters can reduce the network overhead within a cloud infrastructure; thereby, also improving the quality of service for the clients. Most of the algorithms in the literature assume that the ... -
Pricing the last mile: Data capping for residential broadband
(2014)In recent years, ISPs in mature residential broadband markets have been moving away from flat-rate pricing schemes to ones that involve usage limits (or ?data caps). These changes have led to a lively debate about the ...