Search results for " convergence."
showing 10 items of 251 documents
EUROPEAN CONVERGENCE AND ITS IMPACT ON THE SOCIAL STRATEGY OF LATVIA
2014
The purpose of this study is to introduce evaluation of convergence policy activities in the European Union and to designate social development trends of Latvia in the context of reaching the goals of strategy “Europe 2020. The aim of the research has set the following tasks: to introduce the main EU social convergence theory investigations as the development challenges for improvement socio-economic well-being of the EU states; to evaluate current social situation and eventual social strategy of Latvia on 2014-2020; to estimate European convergence policy impact on the social development of Latvia. The strategic goals of EU policy are discussed as well as the development challenges for imp…
Robust adaptive algorithm with low computational cost
2006
An adaptive algorithm, which is robust to impulsive noise, is proposed. The cost function underlying this algorithm contains a parameter that controls the immunity to impulsive noise and can be easily adapted. Moreover, weight updating involves a nonlinear function, which recently has been shown to have an efficient hardware implementation. The proposed adaptive algorithm has been successfully tested in terms of accuracy and convergence on a system-identification simulation.
Distribution Dynamics and Nonlinear Growth
2003
Numerical methods for nonlinear inverse problems
1996
AbstractInverse problems of distributed parameter systems with applications to optimal control and identification are considered. Numerical methods and their numerical analysis for solving this kind of inverse problems are presented, main emphasis being on the estimates of the rate of convergence for various schemes. Finally, based on the given error estimates, a two-grid method and related algorithms are introduced, which can be used to solve nonlinear inverse problems effectively.
Convergence of a high-order compact finite difference scheme for a nonlinear Black-Scholes equation
2004
A high-order compact finite difference scheme for a fully nonlinear parabolic differential equation is analyzed. The equation arises in the modeling of option prices in financial markets with transaction costs. It is shown that the finite difference solution converges locally uniformly to the unique viscosity solution of the continuous equation. The proof is based on a careful study of the discretization matrices and on an abstract convergence result due to Barles and Souganides.
A normalized iterative Smoothed Particle Hydrodynamics method
2020
Abstract In this paper we investigate on a normalized iterative approach to improve the Smoothed Particle Hydrodynamics (SPH) estimate of a function. The method iterates on the residuals of an initial SPH approximation to obtain a more accurate solution. The iterative strategy preserves the matrix-free nature of the method, does not require changes on the kernel function and it is not affected by disordered data distribution. The iterative refinement is further improved by ensuring linear approximation order to the starting iterative values. We analyze the accuracy and the convergence of the method with the standard and normalized formulation giving evidence of the enhancements obtained wit…
The MAST-edge centred lumped scheme for the flow simulation in variably saturated heterogeneous porous media
2012
A novel methodology is proposed for the solution of the flow equation in a variably saturated heterogeneous porous medium. The computational domain is descretized using triangular meshes and the governing PDEs are discretized using a lumped in the edge centres numerical technique. The dependent unknown variable of the problem is the piezometric head. A fractional time step methodology is applied for the solution of the original system, solving consecutively a prediction and a correction problem. A scalar potential of the flow field exists and in the prediction step a MArching in Space and Time (MAST) formulation is applied for the sequential solution of the Ordinary Differential Equation of…
Upstream Product Market Regulations, ICT, R&D and Productivity
2017
Our study aims to assess the actual importance of the two main channels via which upstream anti-competitive sector regulations are usually considered to impact productivity growth, i.e. by acting as a disincentive to business investments in R&D and in ICT. We estimate the specific impacts of these two channels and their shares in the total impact as opposed to alternative channels of investments in other forms of intangible capital that we cannot explicitly consider for lack of appropriate data such as improvements in skills, management and organization. To achieve this, we specify an extended production function explicitly relating productivity to R&D and ICT capital as well as to upstream…
Zobārstu pilnā vainaga preparātu konverģences pārbaude Latvijā, laboratorijas pētījums
2020
Ievads: Vienas vienības kroņa vai fiksētas daļējas protēzes saglabāšana un pretestība ir divi mehāniski faktori, kas ir saistīti ar veiktās atjaunošanas prognozi. Publicētajā literatūrā tiek atbalstīti īpaši zoba sagatavošanas parametri kroņa uzlikšanai. Preparācijas vertikālajām sienām jābūt ar konverģences leņķi no 10-14 grādiem, lai nodrošinātu kroņa saglabāšanu. Šo parametru neievērošana rada lielāku risku zaudēt kroņa saglabāšanu. Tomēr pētījumi liecina, ka šie kritēriji parasti netiek ievēroti. Nespēja ierobežot vertikālās sienas konverģenci (kopējo okluzālo konverģenci) izraisa protēzes struktūras zudumu, kariesu, palielina zobu struktūras zūdumu preparēšanas laikā un samazinā zoba p…
Approximation properties of q-Kantorovich-Stancu operator
2015
In this paper we study some properties of Kantorovich-type generalizations of the q-Stancu operators. We obtain some approximation properties for these operators, estimating the rate of convergence by using the first and second modulus of continuity. Also, we investigate the statistical approximation properties of the q-Kantorovich-Stancu operators using the Korovkin-type statistical approximation theorem.