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A note on the inverse spectral problem for symmetric doubly stochastic matrices
The symmetric doubly stochastic inverse spectral problem is the problem of de-termining necessary and sufficient conditions for a real n-tuple to be the spectrum of an n × n symmetric doubly stochastic matrix. For n ≥ 4, ...
Exploiting User Interest in Data-Driven Cloud-Based Mobile Optimization
An Efficient Eigen-Solver and Some of Its Applications
This paper is mainly devoted to improve the efficiency of the subspace iteration strategy and propose practical new applications for the suggested scheme. In spite of utilizing subspace iteration method for many structures, ...
A new method for damage detection of fluid-structure systems based on model updating strategy and incomplete modal data
based on coupled asymmetric eigenvalue problem with the aid of incomplete modal data. In this formulation, nodal pressures of the fluid domain are not required to measure. Moreover, the fluid domain is presumed compressible, inviscid and irrotational...
A numerical damage identification approach by direct sensitivity of orthogonality conditions via stiffness modification index
eigenvalue problem and stiffness-orthogonality conditions sensitivity methods are developed to determine the damage severity index. In this study, the variation of stiffness matrices are introduced as damage in-dex and based on its changes the eigenvalue...
Optimal approximation problem
In this paper which involve relativity between Inverse
eigenvalue problem for Reflxive matrix and Optimal Approximation,
we get the sufficient and necessary condition for solving such problem.
Furthermore,the algorithm...



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