نتایج جستجو برای: variation parameter method

تعداد نتایج: 2040039  

Journal: :KAGAKU KOGAKU RONBUNSHU 1984

A Ghobadi H Golestanian Y Tadi Beni,

The effects of flexoelectricity on thermo-electro-mechanical behavior of a functionally graded electro-piezo-flexoelectric nano-plate are investigated in this paper using flexoelectric modified and the Kirchhoff classic theories. Moreover, using the variation method and the principle of minimum potential energy for the first time, the coupled governing nonlinear differential equations of the na...

Journal: :Transactions of the Society of Instrument and Control Engineers 1994

Journal: :Int. J. Comput. Math. 2013
Kristian Bredies Yiqiu Dong Michael Hintermüller

The automated spatially dependent regularization parameter selection framework of [9] for multi-scale image restoration is applied to total generalized variation (TGV) of order two. Well-posedness of the underlying continuous models is discussed and an algorithm for the numerical solution is developed. Experiments confirm that due to the spatially adapted regularization parameter the method all...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 2001
Aria Abubakar Peter M. van den Berg

The total variation minimization method for deblurring noise is shown to be effective in increasing the resolution in a contrast source inversion approach to index reconstruction from measured scattered field data. The main drawback is the presence of an artificial weighting parameter in the cost functional, which can only be determined through considerable experimentation Therefore, we introdu...

2004
Alireza Ghaffari Hadigheh Tamás Terlaky

In sensitivity analysis one wants to know how the problem and the optimal solutions change under the variation of the input data. We consider the case when variation happens in the right hand side of the constraints and/or in the linear term of the objective function. We are interested to find the range of the parameter variation in Convex Quadratic Optimization (CQO) problems where the support...

2016
Pengpeng Zhao Shaohui Cui Min Gao Dan Fang

Recently, the compressive tracking (CT) method (Zhang et al. in Proceedings of European conference on computer vision, pp 864-877, 2012) has attracted much attention due to its high efficiency, but it cannot well deal with the scale changing objects due to its constant tracking box. To address this issue, in this paper we propose a scale adaptive CT approach, which adaptively adjusts the scale ...

2015
Yuki USHIDA Isao TAKAMI

In this paper, Gain-Scheduling (GS) control via parameter dependent Lyapunov function for crane is synthesized. A purpose of cranes system is to lift and carry a load to assigned positions. Cranes are required to transport the load fast, accurately and to reduce oscillations. In previous research, a method to robust control of cranes to suppress effects by variation of the rope length have been...

2015
Jodi L. Mead

Total Variation (TV) is an effective method of removing noise in digital image processing while preserving edges [23]. The choice of scaling or regularization parameter in the TV process defines the amount of denoising, with value of zero giving a result equivalent to the input signal. Here we explore three algorithms for specifying this parameter based on the statistics of the signal in the to...

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