Approximation of Multiparticle Distribution Function in Micromagnetic Modeling
نویسندگان
چکیده
منابع مشابه
interpersonal function of language in subtitling
translation as a comunicative process is always said to be associated with various aspects of meaning loss or gain. subtitling as a mode of translating, due to special discoursal and textual conditions imposed upon it, is believed to be an obvious case of this loss or gain. presenting the spoken sound track of a film in writing and synchronizing the perception of this text by the viewers with...
15 صفحه اولmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Multiparticle collision dynamics modeling of viscoelastic fluids.
In order to investigate the rheological properties of viscoelastic fluids by mesoscopic hydrodynamics methods, we develop a multiparticle collision (MPC) dynamics model for a fluid of harmonic dumbbells. The algorithm consists of alternating streaming and collision steps. The advantage of the harmonic interactions is that the integration of the equations of motion in the streaming step can be p...
متن کاملInfluence of space discretization size in 3D micromagnetic modeling
To improve the magnetic properties of ferromagnetic materials, one needs to qualify relations between the microscopic material properties and the macroscopic magnetic behavior. Large computer resources nowadays should make it possible to do this using micromagnetic simulations for larger, bulk like samples. Here, the size of the sample is limited by computer resource restrictions on the number ...
متن کاملValue Function Approximation through Sparse Bayesian Modeling
In this study we present a sparse Bayesian framework for value function approximation. The proposed method is based on the on-line construction of a dictionary of states which are collected during the exploration of the environment by the agent. A linear regression model is established for the observed partial discounted return of such dictionary states, where we employ the Relevance Vector Mac...
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 Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1740/1/012025