نتایج جستجو برای: iteration scheme

تعداد نتایج: 261462  

2001
Pascal Frossard Pierre Vandergheynst

This paper studies quantization error in the context of Matching Pursuit coded streams and proposes a new coefficient quantization scheme taking benefit of the Matching Pursuit properties. The coefficients energy in Matching Pursuit indeed decreases with the iteration number, and the decay rate can be upper-bounded with an exponential curve driven by the redundancy of the dictionary. The redund...

2010
B. E. RHOADES

Let £ be a closed, bounded, convex subset of a Banach space X, /: E —»E. Consider the iteration scheme defined by x"« = xQ e E, x , = ñx ), x = 2" na ,x., nal, where A is a regular weighted mean n + l ' n n * = 0 nk k o er matrix. For particular spaces X and functions /we show that this iterative scheme converges to a fixed point of /. Let X be a normed linear space, E a nonempty closed bounded...

Journal: :journal of mechanical research and application 2010
kourosh amir aslani mehdi molavi hosein molavi

this paper presents a hybrid technique for simultaneous estimation of parameter and function in inverse heat conduction problems. no prior information is used for the functional form of the heat flux in the present study. the scheme presented here is a combination of two different classical methods: the variable metric method (vmm) and gauss method (gm). the determination of the unknown thermal...

1993
Eric De Sturler Diederik R. Fokkema

SUMMARY Recently the GMRESR inner-outer iteration scheme for the solution of linear systems of equations has been proposed by Van der Vorst and Vuik. Similar methods have been proposed by Axelsson and Vassilevski 1] and Saad (FGMRES) 10]. The outer iteration is GCR, which minimizes the residual over a given set of direction vectors. The inner iteration is GMRES, which at each step computes a ne...

2017
A. Mayr

Objectives: Component-wise boosting algorithms have evolved into a popular estimation scheme in biomedical regression settings. The iteration number of these algorithms is the most important tuning parameter to optimize their performance. To date, no fully automated strategy for determining the optimal stopping iteration of boosting algorithms has been proposed. Methods: We propose a fully data...

2009
Yosi Shibberu

The implicit equations of a symplectic-energymomentum integrator are not easily solved, especially for small time steps. An inefficient, nested iteration scheme has typically been used to solve these equations. We describe new, more efficient, iteration schemes which avoid nested iterations. We present simulation results comparing five different secondorder, integration methods for two differen...

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