The Quadratic Finite Element Model Updating Problem (QFEMUP) concerns with up-dating a symmetric second-order finite element model so that it remains symmetric and the updated model reproduces a given set of desired eigenvalues and eigenvectors by re-placing the corresponding ones from the original model. Taking advantage of the special structure of the constraint set, it is first shown that the QFEMUP can be formulated as a suitable constrained nonlinear programming problem. Using this formulation, a method based on successive optimizations is then proposed and analyzed. To avoid that spurious modes (eigenvectors) appear in the frequency range of interest (eigenvalues) after the model has been updated, additional constraints based on a qua...
We consider a general integer program (QQP) where both the objective function and the constraints ar...
AbstractBased on the ideas of norm-relaxed sequential quadratic programming (SQP) method and the str...
In this article, we present the application of a global optimization technique, in particular the G...
AbstractQuadratic finite element model updating problem (QFEMUP), to be studied in this paper, is co...
[[abstract]]Finite element model correction of quadratic eigenvalue problems (QEPs) using a symmetri...
Finite element model correction of quadratic eigenvalue problems (QEPs) using a symmetric eigenstruc...
This paper concerns quadratic matrix functions of the form L(λ) = Mλ² + Dλ +K where M, D, K are real...
This paper concerns quadratic matrix functions of the form L(λ) = Mλ2 +Dλ+K where M, D, K are real a...
AbstractThis paper concerns quadratic matrix functions of the form L(λ)=Mλ2+Dλ+K where M,D,K are Her...
This paper proposes a novel second-order cone programming (SOCP) relaxation for a quadratic program ...
Optimization problems with many more inequality constraints than variables arise in support-vector m...
We present several transformations that can be used to solve the quadratic two-parameter eigenvalue ...
AbstractWe present several transformations that can be used to solve the quadratic two-parameter eig...
Interior methods are a class of computational methods for solving a con- strained optimization probl...
This paper studies the solution of quadratic eigenvalue problems by the quadratic residual iteration...
We consider a general integer program (QQP) where both the objective function and the constraints ar...
AbstractBased on the ideas of norm-relaxed sequential quadratic programming (SQP) method and the str...
In this article, we present the application of a global optimization technique, in particular the G...
AbstractQuadratic finite element model updating problem (QFEMUP), to be studied in this paper, is co...
[[abstract]]Finite element model correction of quadratic eigenvalue problems (QEPs) using a symmetri...
Finite element model correction of quadratic eigenvalue problems (QEPs) using a symmetric eigenstruc...
This paper concerns quadratic matrix functions of the form L(λ) = Mλ² + Dλ +K where M, D, K are real...
This paper concerns quadratic matrix functions of the form L(λ) = Mλ2 +Dλ+K where M, D, K are real a...
AbstractThis paper concerns quadratic matrix functions of the form L(λ)=Mλ2+Dλ+K where M,D,K are Her...
This paper proposes a novel second-order cone programming (SOCP) relaxation for a quadratic program ...
Optimization problems with many more inequality constraints than variables arise in support-vector m...
We present several transformations that can be used to solve the quadratic two-parameter eigenvalue ...
AbstractWe present several transformations that can be used to solve the quadratic two-parameter eig...
Interior methods are a class of computational methods for solving a con- strained optimization probl...
This paper studies the solution of quadratic eigenvalue problems by the quadratic residual iteration...
We consider a general integer program (QQP) where both the objective function and the constraints ar...
AbstractBased on the ideas of norm-relaxed sequential quadratic programming (SQP) method and the str...
In this article, we present the application of a global optimization technique, in particular the G...