The Finite Element (FE) method is an approximate method and as such the accuracy of its solutions must be controlled to allow for a reliable application. This thesis deals with error estimation and improvements of the FE solutions based on superconvergent properties of the FE solution in certain points. Two new postprocessing procedures are developed for elliptic problems. The procedures are based on local patches of elements and developed in such a way that the methods function at local level. Being local methods, the cost involved in implementing the procedures is small. The derivatives of the FE solutions are discontinuous across element boundaries. The primary purpose of the proposed postprocessing procedures is to smooth the discontinu...
peer reviewedEP/G042705/1 Increased Reliability for Industrially Relevant Automatic Crack Growth Sim...
For a nonconforming finite element approximation of an elliptic model problem, we propose a posterio...
Abstract. Data oscillation is intrinsic information missed by the averaging process associated with ...
The Finite Element (FE) method is an approximate method and as such the accuracy of its solutions mu...
In this contribution we first give a brief survey of postprocessing techniques for accelerating the ...
The present work is concerned with topics related to some adaptive methods for the approximate solut...
The present work provides a straightforward and focused set of tools and corresponding theoretical s...
The present work provides a straightforward and focused set of tools and corresponding theoretical s...
This is a survey on the theory of adaptive finite element methods (AFEM), which are fundamental in m...
We propose a new algorithm for Adaptive Finite Element Methods (AFEMs) based on smoothing iterations...
In this thesis our primary interest is in developing adaptive solution methods for parabolic and ell...
In this dissertation, we formulate and implement p- adaptive and hp-adaptive finite element methods ...
Finite Element Method (FEM) is the most widely used numerical simulation method for solving problems...
A refined approach to residual-based error control in finite element (FE) discretizations is present...
This thesis deals with a posteriori error estimation and adaptivity in finite element procedures for...
peer reviewedEP/G042705/1 Increased Reliability for Industrially Relevant Automatic Crack Growth Sim...
For a nonconforming finite element approximation of an elliptic model problem, we propose a posterio...
Abstract. Data oscillation is intrinsic information missed by the averaging process associated with ...
The Finite Element (FE) method is an approximate method and as such the accuracy of its solutions mu...
In this contribution we first give a brief survey of postprocessing techniques for accelerating the ...
The present work is concerned with topics related to some adaptive methods for the approximate solut...
The present work provides a straightforward and focused set of tools and corresponding theoretical s...
The present work provides a straightforward and focused set of tools and corresponding theoretical s...
This is a survey on the theory of adaptive finite element methods (AFEM), which are fundamental in m...
We propose a new algorithm for Adaptive Finite Element Methods (AFEMs) based on smoothing iterations...
In this thesis our primary interest is in developing adaptive solution methods for parabolic and ell...
In this dissertation, we formulate and implement p- adaptive and hp-adaptive finite element methods ...
Finite Element Method (FEM) is the most widely used numerical simulation method for solving problems...
A refined approach to residual-based error control in finite element (FE) discretizations is present...
This thesis deals with a posteriori error estimation and adaptivity in finite element procedures for...
peer reviewedEP/G042705/1 Increased Reliability for Industrially Relevant Automatic Crack Growth Sim...
For a nonconforming finite element approximation of an elliptic model problem, we propose a posterio...
Abstract. Data oscillation is intrinsic information missed by the averaging process associated with ...