Compatible L2 norm convergence of variable-step L1 scheme for the time-fractional MBE model with slope selection
نویسندگان
چکیده
The convergence of variable-step L1 scheme is studied for the time-fractional molecular beam epitaxy (MBE) model with slope selection. A novel asymptotically compatible L2 norm error estimate established under a convergence-solvability-stability (CSS)-consistent time-step constraint. CSS-consistent condition means that maximum step-size limit required same order to solvability and stability (in certain norms) as small interface parameter ??0+. To best our knowledge, it first time establish such nonlinear subdiffusion problems. backward Euler classical MBE fractional ??1?. Just can maintain physical properties equation, also preserve corresponding model, including volume conservation, variational energy dissipation law boundedness. Numerical experiments are presented support theoretical results.
منابع مشابه
the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولAn Analytical Model for Predicting the Convergence Behavior of the Least Mean Mixed-Norm (LMMN) Algorithm
The Least Mean Mixed-Norm (LMMN) algorithm is a stochastic gradient-based algorithm whose objective is to minimum a combination of the cost functions of the Least Mean Square (LMS) and Least Mean Fourth (LMF) algorithms. This algorithm has inherited many properties and advantages of the LMS and LMF algorithms and mitigated their weaknesses in some ways. The main issue of the LMMN algorithm is t...
متن کاملthe test for adverse selection in life insurance market: the case of mellat insurance company
انتخاب نامساعد یکی از مشکلات اساسی در صنعت بیمه است. که ابتدا در سال 1960، توسط روتشیلد واستیگلیتز مورد بحث ومطالعه قرار گرفت ازآن موقع تاکنون بسیاری از پژوهشگران مدل های مختلفی را برای تجزیه و تحلیل تقاضا برای صنعت بیمه عمر که تماما ناشی از عدم قطعیت در این صنعت میباشد انجام داده اند .وهدف از آن پیدا کردن شرایطی است که تحت آن شرایط انتخاب یا کنار گذاشتن یک بیمه گزار به نفع و یا زیان شرکت بیمه ...
15 صفحه اولA numerical scheme for space-time fractional advection-dispersion equation
In this paper, we develop a numerical resolution of the space-time fractional advection-dispersion equation. We utilize spectral-collocation method combining with a product integration technique in order to discretize the terms involving spatial fractional order derivatives that leads to a simple evaluation of the related terms. By using Bernstein polynomial basis, the problem is transformed in...
متن کاملCONVERGENCE OF THE LINEARIZED BREGMAN ITERATION FOR l1-NORM MINIMIZATION
One of the key steps in compressed sensing is to solve the basis pursuit problem minu∈Rn{‖u‖1 : Au = f}. Bregman iteration was very successfully used to solve this problem in [40]. Also, a simple and fast iterative algorithm based on linearized Bregman iteration was proposed in [40], which is described in detail with numerical simulations in [35]. A convergence analysis of the smoothed version ...
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: Journal of Computational Physics
سال: 2022
ISSN: ['1090-2716', '0021-9991']
DOI: https://doi.org/10.1016/j.jcp.2022.111467