Gradient method with AFEM for parameter-estimation
نویسندگان
چکیده
We consider the adaptive finite element discretization of parameter estimation problems for nonlinear elliptic partial differential equations. The idea is to use a gradient method on finite-dimensional space minimization least-squares residual. Since involves solution equations, it not accesable, and replaced by an approximation obtained elements. This results into perturbed method. (a posteriori) error estimator control accuracy propose algorithm, which links progress iteration. show convergence algorithm under typical structural assumptions.
منابع مشابه
Parameter Estimation With Partial Forgetting Method
The paper proposes a new estimating algorithm for linear parameter varying systems with slowly time-varying parameters when the rate of change of individual parameters is different. It introduces a true probability density function, describing ideally the behaviour of parameters. However, as it is unknown, we search for its best approximation. A convex combination of point estimates, defined by...
متن کاملUnbiased gradient estimation in queueing networks with parameter-dependent routing
A stochastic queueing network model with parameter-dependent service times and routing mechanism, and its related performance measures are considered. An estimate of performance measure gradient is proposed, and rather general sufficient conditions for the estimate to be unbiased are given. A gradient estimation algorithm is also presented, and its validity is briefly discussed. Key-Words: queu...
متن کاملAn Adaptive Multi - Scale Conjugate Gradient Method for Distributed Parameter Estimation of 2 - D Wave Equation ∗
An adaptive multi-scale conjugate gradient method for distributed parameter estimations (or inverse problems) of wave equation is presented. The identification of the coefficients of wave equations in two dimensions is considered. First, the conjugate gradient method for optimization is adopted to solve the inverse problems. Second, the idea of multi-scale inversion and the necessary conditions...
متن کاملGradient Based Smoothing Parameter Selection for Nonparametric Regression Estimation*
Data-driven bandwidth selection based on the gradient of an unknown regression function is considered. Uncovering gradients nonparametrically is of crucial importance across a broad range of economic environments such as determining risk premium or recovering distributions of individual preferences. The procedure developed here is shown to deliver bandwidths which have the optimal rate of conve...
متن کاملDistributed conjugate gradient strategies for parameter estimation over sensor networks
This paper presents distributed adaptive algorithms based on the conjugate gradient (CG) method for distributed networks. Both incre-mental and diffusion adaptive solutions are all considered. The distributed conventional (CG) and modified CG (MCG) algorithms have an improved performance in terms of mean square error as compared with least-mean square (LMS)-based algorithms and a performance th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Selecciones matematicas
سال: 2023
ISSN: ['2411-1783']
DOI: https://doi.org/10.17268/sel.mat.2023.01.05