This thesis is concerned with linear and non-linear optimal flow control problems which are modeled by systems of partial differential equations. The numerical treatment of such problems, especially in the context of flow problems, is often very expensive and challenging. To tackle this complexity, we present parallel approaches based on non-overlapping domain decomposition methods that exploit the computational power provided by modern high performance computing technologies
Flexible multibody dynamics simulations have been performed sequentially on a single processor becau...
The purpose of this book is to offer an overview of the most popular domain decomposition methods fo...
This work deals with the use of domain decomposition methods to solve optimal control problems gover...
The divide-and-conquer paradigm of iterative domain decomposition, or substructuring, has become a p...
The thesis reports a contribution to the development of parallel algorithms based on Domain Decompos...
The thesis is concerned with the study of methods in high-performance computing for simulation and o...
International audienceWe consider the solving of linear systems arising from porous media flow simul...
The aim of this work is to present a model reduction technique in the framework of optimal control p...
MasterThe purpose of this text is to offer an overview of the most popular domain decomposition meth...
AbstractAn optimization-based domain decomposition method for the solution of partial differential e...
Many important techniques in image processing rely on partial differential equation (PDE) problems, ...
The PhD research focuses on the development of efficient optimization algorithms for parallel comput...
This thesis is concerned with the development of domain decomposition (DD) based preconditioners for...
General problems of interest in computational fluid dynamics are investigated by means of optimizati...
The focus of the subject DOE sponsored research concerns parallel methods, algorithms, and software ...
Flexible multibody dynamics simulations have been performed sequentially on a single processor becau...
The purpose of this book is to offer an overview of the most popular domain decomposition methods fo...
This work deals with the use of domain decomposition methods to solve optimal control problems gover...
The divide-and-conquer paradigm of iterative domain decomposition, or substructuring, has become a p...
The thesis reports a contribution to the development of parallel algorithms based on Domain Decompos...
The thesis is concerned with the study of methods in high-performance computing for simulation and o...
International audienceWe consider the solving of linear systems arising from porous media flow simul...
The aim of this work is to present a model reduction technique in the framework of optimal control p...
MasterThe purpose of this text is to offer an overview of the most popular domain decomposition meth...
AbstractAn optimization-based domain decomposition method for the solution of partial differential e...
Many important techniques in image processing rely on partial differential equation (PDE) problems, ...
The PhD research focuses on the development of efficient optimization algorithms for parallel comput...
This thesis is concerned with the development of domain decomposition (DD) based preconditioners for...
General problems of interest in computational fluid dynamics are investigated by means of optimizati...
The focus of the subject DOE sponsored research concerns parallel methods, algorithms, and software ...
Flexible multibody dynamics simulations have been performed sequentially on a single processor becau...
The purpose of this book is to offer an overview of the most popular domain decomposition methods fo...
This work deals with the use of domain decomposition methods to solve optimal control problems gover...