Multiple-input, multiple-output models for coupled systems in structural dynamics including unbounded domains, like soil or fluid, are characterized by sparse system-matrices and unstable parts in the whole set of solutions due to spurious modes. Spectral shifting with deflation can stabilize these unstable parts; however the originally sparse system-matrices become fully populated when this procedure is applied. This paper presents a special consecutive treatment of the deflated system without losing the numerical advantages from sparsity. The procedure starts with an LU-decomposition of the sparse undeflated system and continues with restricting the solution space with respect to deflation using the same LU-decomposition. An example from ...
In recent years, methods for sparse approximation have gained considerable attention and have been s...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
Sparse matrix systems (SMSs) are potentially very useful for graph analysis and topological represen...
Multiple-input, multiple-output models for coupled systems in structural dynamics including unbounde...
Computation complexity of a broad variety of practical design problems is known to be strongly dep...
Model reduction is a common theme within the simulation, control and optimization of complex dynamic...
AbstractLarge systems of linear ordinary differential equations appear in a natural way in many fiel...
Balanced truncation (BT) is a model reduction method that utilizes a coordinate transformation to re...
International audienceMost linear sparse representation algorithms can be straightforwardly extended...
Adaptive reduced-order methods are explored for simulating continuous vibrating structures. The Gale...
International audienceDynamic mode decomposition (DMD) represents an effective means for capturing t...
AbstractEfficient numerical solution of large elliptic systems is often facilitated with an approxim...
We give a new theoretical tool to solve sparse systems with finitely many solutions. It is based on ...
high-order systems, are presented and compared. Particular attention is paid to the link between the...
The aim of this thesis is to conduct a general investigation in the field of sparse matrices, to inv...
In recent years, methods for sparse approximation have gained considerable attention and have been s...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
Sparse matrix systems (SMSs) are potentially very useful for graph analysis and topological represen...
Multiple-input, multiple-output models for coupled systems in structural dynamics including unbounde...
Computation complexity of a broad variety of practical design problems is known to be strongly dep...
Model reduction is a common theme within the simulation, control and optimization of complex dynamic...
AbstractLarge systems of linear ordinary differential equations appear in a natural way in many fiel...
Balanced truncation (BT) is a model reduction method that utilizes a coordinate transformation to re...
International audienceMost linear sparse representation algorithms can be straightforwardly extended...
Adaptive reduced-order methods are explored for simulating continuous vibrating structures. The Gale...
International audienceDynamic mode decomposition (DMD) represents an effective means for capturing t...
AbstractEfficient numerical solution of large elliptic systems is often facilitated with an approxim...
We give a new theoretical tool to solve sparse systems with finitely many solutions. It is based on ...
high-order systems, are presented and compared. Particular attention is paid to the link between the...
The aim of this thesis is to conduct a general investigation in the field of sparse matrices, to inv...
In recent years, methods for sparse approximation have gained considerable attention and have been s...
Low complexity of a system model is essential for its use in real-time applications. However, sparse...
Sparse matrix systems (SMSs) are potentially very useful for graph analysis and topological represen...