نتایج جستجو برای: local error estimation

تعداد نتایج: 992918  

Journal: :CoRR 2016
Hadi Zayyani Mehdi Korki

This letter presents an improved version of diffusion least mean ppower (LMP) algorithm for distributed estimation. Instead of sum of mean square errors, a weighted sum of mean square error is defined as the cost function for global and local cost functions of a network of sensors. The weight coefficients are updated by a simple steepest-descent recursion to minimize the error signal of the glo...

Journal: :Computer Physics Communications 2013
Stéphane Balac Fabrice Mahé

When solving certain evolution type PDE such as the Schrödinger equation, the Interaction Picture method is a valuable alternative to Split-Step methods. The Interaction Picture method has good computational features when used together with the standard 4th order Runge-Kutta scheme (giving rise to the RK4-IP method). In this paper we present an embedded Runge-Kutta scheme with orders 3 and 4wit...

Journal: :J. Sci. Comput. 2015
Tao Lin Qing Yang Xu Zhang

In this paper, we derive a priori error estimates for a class of interior penalty discontinuous Galerkin (DG) methods using immersed finite element (IFE) functions for a classic second-order elliptic interface problem. The error estimation shows that these methods can converge optimally in a mesh-dependent energy norm. The combination of IFEs and DG formulation in these methods allows local mes...

2005
Hyoungseok Kim Jarek Rossignac

The local geometric properties such as curvatures and normal vectors play important roles in analyzing the local shape of objects. The result of the geometric operations such as mesh simplification and mesh smoothing is dependent on how to compute the curvatures of meshes, because there is no exact definition of the discrete curvature in meshes. In this paper, we indicate the fatal error in com...

Load Frequency Control (LFC) has received considerable attention during last decades. This paper proposes a new method for designing decentralized interaction estimators for interconnected large-scale systems and utilizes it to multi-area power systems. For each local area, a local estimator is designed to estimate the interactions of this area using only the local output measurements. In fact,...

2006
Erwin Stein Stephan Ohnimus

Modeling of elastic thin-walled beams, plates and shells as 1D and 2D boundary value problems is valid in undisturbed subdomains. Disturbances near supports and free edges, in the vicinity of concentrated loads and at thickness jumps cannot be described by 1D and 2D BVP’s. In these disturbed subdomains dimensional (d)-adaptivity and possibly model (m)-adaptivity have to be performed and coupled...

2012
M K Pushpa

This paper presents an efficient search algorithm for fast block matching motion estimation(ME) for video applications. The algorithm uses two patterns for initial search and refined local search. For initial search, the proposed algorithm uses a square pattern adaptively by selecting the step size based on Maximum Absolute Value of predicted motion vector. This search pattern is aimed to reduc...

Journal: :Statistics and Computing 2008
Pierre Pinson Henrik Aalborg Nielsen Henrik Madsen Torben S. Nielsen

Short-term forecasting of wind generation requires a model of the function for the conversion of meteorological variables (mainly wind speed) to power production. Such a power curve is nonlinear and bounded, in addition to being nonstationary. Local linear regression is an appealing nonparametric approach for power curve estimation, for which the model coefficients can be tracked with recursive...

Journal: :international journal of mathematical modelling and computations 0
dewi ratnaningsih indonesia

small area estimation is a technique used to estimate parameters of subpopulations with small sample sizes.  small area estimation is needed  in obtaining information on a small area, such as sub-district or village.  generally, in some cases, small area estimation uses parametric modeling.  but in fact, a lot of models have no linear relationship between the small area average and the covariat...

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