Browsing by Keywords "Robustness"
Now showing items 1-20 of 29
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Approximate MLFMA as an efficient preconditioner
(IEEE, 2007)In this work, we propose a preconditioner that approximates the dense system operator. For this purpose, we develop an approximate multilevel fast multipole algorithm (AMLFMA), which performs a much faster matrix-vector ... -
A capacitated hub location problem under hose demand uncertainty
(Elsevier, 2017)In this study, we consider a capacitated multiple allocation hub location problem with hose demand uncertainty. Since the routing cost is a function of demand and capacity constraints are imposed on hubs, demand uncertainty ... -
Effects of skewness and kurtosis on model selection criteria
(Elsevier BV, 1998)We consider the behavior of model selection criteria in AR models where the error terms are not normal by varying skewness and kurtosis. The probability of estimating the true lag order for varying degrees of freedom (k) ... -
Efficient and robust approach for the derivation of closed-form Green's functions
(IEEE, 1995)Spatial domain Green's functions for multilayer, planar geometries are cast into closed forms with two-level approximation of the spectral domain representation of the Green's functions. This approach is very robust and ... -
Essays on bilateral trade with discrete types
(Bilkent University, 2019-11)Bilateral trade is probably the most common market interaction problem and can be considered as the simplest form of two sided markets where a seller and a buyer bargain over an indivisible object subject to incomplete ... -
Generating a robust model for production and inventory control
(Bilkent University, 1993)In tills stud}', we generate a production and inventory control model which gives h'obust‘ solutions against demand estimation errors. This model is applied to a real production and inventory system; howe\’er, it is a ... -
Generating robust and stable schedules in a single machine environment
(IIE, 2004)Scheduling is a decision making process that concerns with allocation of limited resources (machines, material handling equipment, operators, tools, etc.) to competing tasks (operations of jobs) over time with the goal of ... -
Hedging production schedules against uncertainty in manufacturing environment with a review of robustness and stability research
(Taylor & Francis, 2009)Scheduling is a decision-making process that is concerned with the allocation of limited resources to competing tasks (operations of jobs) over a time period with the goal of optimising one or more objectives. In theory, ... -
Hub location proplems under polyhedral demand uncertainty
(Bilkent University, 2015-07)Hubs are points of consolidation and transshipment in many-to-many distribution systems that bene t from economies of scale. In hub location problems, the aim is to locate hub facilities such that each pairwise demand ... -
Integral action based Dirichlet boundary control of Burgers equation
(IEEE, 2003)Modeling and boundary control for Burgers Equation is studied in this paper. Modeling has been done via processing of numerical observations through singular value decomposition with Galerkin projection. This results in a ... -
Linear huber M-estimator under ellipsoidal data uncertainty
(Springer, 2002)The purpose of this note is to present a robust counterpart of the Huber estimation problem in the sense of Ben-Tal and Nemirovski when the data elements are subject to ellipsoidal uncertainty. The robust counterparts are ... -
Microfabricated ultrasonic transducers: towards robust models and immersion devices
(IEEE, 1996-11)The successful fabrication of ultrasonic immersion transducers is reported. Transducers are observed to operate from 1 MHz to 20 MHz in water, with the frequency range limited by electronics, not the transducers. Transmission ... -
On robust solutions to linear least squares problems affected by data uncertainty and implementation errors with application to stochastic signal modeling
(Elsevier, 2004)Engineering design problems, especially in signal and image processing, give rise to linear least squares problems arising from discretization of some inverse problem. The associated data are typically subject to error in ... -
Optimization of schedule robustness and stability under random machine breakdowns and processing time variability
(Taylor & Francis, 2010)In practice, scheduling systems are subject to considerable uncertainty in highly dynamic operating environments. The ability to cope with uncertainty in the scheduling process is becoming an increasingly important issue. ... -
Robust antiwindup compensation for high-precision tracking of a piezoelectric nanostage
(Institute of Electrical and Electronics Engineers Inc., 2016)Ultrahigh-precision tracking in nanomanipulations poses major challenges for mechanical design as well as servo control, due to the general confliction between the precision requirement and large stroke tracking. The ... -
A robust approach for the derivation of closed-form Green's functions
(Institute of Electrical and Electronics Engineers, 1996-05)Spatial-domain Green's functions for multilayer, planar geometries are cast into closed forms with two-level approximation of the spectral-domain representation of the Green's functions. This approach is very robust and ... -
Robust auction design under multiple priors by linear and integer programming
(Springer New York LLC, 2018)It is commonly assumed in the optimal auction design literature that valuations of buyers are independently drawn from a unique distribution. In this paper we study auctions under ambiguity, that is, in an environment where ... -
Robust bilateral trade with discrete types
(Springer Verlag, 2018)Bilateral trade problem is the most common market interaction in which a seller and a buyer bargain over an indivisible object, and the valuation of each agent about the object is private information. We investigate the ... -
Robust intermodal hub location under polyhedral demand uncertainty
(Elsevier, 2016)In this study, we consider the robust uncapacitated multiple allocation p-hub median problem under polyhedral demand uncertainty. We model the demand uncertainty in two different ways. The hose model assumes that the only ... -
Robust scheduling and robustness measures for the discrete time/cost trade-off problem
(Elsevier, 2010)Projects are often subject to various sources of uncertainties that have a negative impact on activity durations and costs. Therefore, it is crucial to develop effective approaches to generate robust project schedules that ...
