Approximation methods for post-processing of large data from the finite element analysis
نویسندگان
چکیده
منابع مشابه
Analysis of Pre-processing and Post-processing Methods and Using Data Mining to Diagnose Heart Diseases
Today, a great deal of data is generated in the medical field. Acquiring useful knowledge from this raw data requires data processing and detection of meaningful patterns and this objective can be achieved through data mining. Using data mining to diagnose and prognose heart diseases has become one of the areas of interest for researchers in recent years. In this study, the literature on the ap...
متن کاملFinite Element Methods for Convection Diffusion Equation
This paper deals with the finite element solution of the convection diffusion equation in one and two dimensions. Two main techniques are adopted and compared. The first one includes Petrov-Galerkin based on Lagrangian tensor product elements in conjunction with streamlined upwinding. The second approach represents Bubnov/Petrov-Galerkin schemes based on a new group of exponential elements. It ...
متن کاملFinite element approximation of large bending isometries
The mathematical description of the elastic deformation of thin plates can be derived by a dimension reduction from three-dimensional elasticity and leads to the minimization of an energy functional that involves the second fundamental form of the deformation and is subject to the constraint that the deformation is an isometry. We discuss two approaches to the discretization of the second order...
متن کاملAnalysis of Post - Processing for NonconformingFinite Element
For a general pair of a given nonconforming and a desired conforming nite element space, we construct and analyze a transfer operator that can be used for a post-processing procedure where a conforming approximation is computed from a nonconforming nite element solution. For this post-processing, we prove local and global estimates of the error between the exact solution and the conforming appr...
متن کاملStatistical Analysis Methods for the fMRI Data
Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the fMRI data to be able to find the parts of br...
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: Pollack Periodica
سال: 2016
ISSN: 1788-1994,1788-3911
DOI: 10.1556/606.2016.11.3.15