Optimal modal truncation

Truncation Strategies for Optimal

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Optimal truncation in matching markets

Since no stable matching mechanism can induce truth-telling as a dominant strategy for all participants, there is often room in matching markets for strategic misrepresentation (Roth [25]). In this paper we study a natural form of strategic misrepresentation: reporting a truncation of one’s true preference list. Roth and Rothblum [28] prove an important but abstract result: in certain symmetric...

Optimal Sensors Location Using Modal Assurance Criterion in Modal Identification of Concrete Gravity Dams

Determination of the optimal sensors location in order to identify of modal parameters, especially in large structures such as dams, is one of the practical issues, which is widely used in damage detection and structural health monitoring. The main objective of this study is to obtain the most information from the dynamic response in a concrete gravity dam by minimizing the non-diagonal element...

Modal truncation for linear Hamiltonian systems : a physical energy approach

Truncation Strategies for Optimal Krylov Subspace Methods∗

Optimal Krylov subspace methods like GMRES and GCR have to compute an orthogonal basis for the entire Krylov subspace to compute the minimal residual approximation to the solution. Therefore, when the number of iterations becomes large, the amount of work and the storage requirements become excessive. In practice one has to limit the resources. The most obvious ways to do this are to restart GM...