AbstractIterative techniques are a key methodology for the numerical solution of optimization problems in differential equations. In two practical application problems with different characteristics, this paper shows, how multigrid methods can be applied efficiently to this problem class. Problem formulations, solution approaches as well as numerical results are presented
The Multigrid technique is 'employed to,get the fast convergence of solutions for the algorithms par...
This thesis presents the study and development of optimization methods that can perform concurrent a...
AbstractWe consider the fast and efficient numerical solution of linear–quadratic optimal control pr...
Iterative techniques are a key methodology for the numerical solution of optimization problems in di...
This dissertation has investigated the use of multigrid methods in certain classes of optimization p...
This paper presents a numerical method for PDE-constrained optimization problems. These problems ari...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/2...
Linear-quadratic optimal control problems governed by elliptic partial differential equations arise ...
Multigrid technique is a mathematical method which when13; implemented for the numerical solution of...
The shape optimization of blades is a crucial step within the design cycle of a whole turbomachine. ...
In this paper, a new multigrid interior point approach to topology optimization problems in the cont...
This paper presents and analyzes a new multigrid framework to solve shape optimization problems gove...
Optimization tools in engineering design often require a high computational cost. This cost originat...
Multigrid methods have been very active area of research since it was introduced in 1960’[19]. It is...
Multigrid methods have been proven to be an efficient approach in accelerating the convergence rate ...
The Multigrid technique is 'employed to,get the fast convergence of solutions for the algorithms par...
This thesis presents the study and development of optimization methods that can perform concurrent a...
AbstractWe consider the fast and efficient numerical solution of linear–quadratic optimal control pr...
Iterative techniques are a key methodology for the numerical solution of optimization problems in di...
This dissertation has investigated the use of multigrid methods in certain classes of optimization p...
This paper presents a numerical method for PDE-constrained optimization problems. These problems ari...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/2...
Linear-quadratic optimal control problems governed by elliptic partial differential equations arise ...
Multigrid technique is a mathematical method which when13; implemented for the numerical solution of...
The shape optimization of blades is a crucial step within the design cycle of a whole turbomachine. ...
In this paper, a new multigrid interior point approach to topology optimization problems in the cont...
This paper presents and analyzes a new multigrid framework to solve shape optimization problems gove...
Optimization tools in engineering design often require a high computational cost. This cost originat...
Multigrid methods have been very active area of research since it was introduced in 1960’[19]. It is...
Multigrid methods have been proven to be an efficient approach in accelerating the convergence rate ...
The Multigrid technique is 'employed to,get the fast convergence of solutions for the algorithms par...
This thesis presents the study and development of optimization methods that can perform concurrent a...
AbstractWe consider the fast and efficient numerical solution of linear–quadratic optimal control pr...
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