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Furthermore, a procedure for the automatic selection of master degrees of freedom has been proposed which assures the convergence and increases the efficiency of the method.
The approach adopts a hybrid vector which includes measured data at master degrees of freedom (dofs) and constant values at slave dofs.
First, the basic principles of the whole analysis method and substructure analysis method are introduced briefly, and the problem of selection master degrees of freedom (DOFs) reasonably is discussed.
Second, this paper describes in detail some key issues of this new type of VDM, such as generating the transfer and influence matrices, extracting the main virtual distortions and selecting the master degrees of freedom (DOFs) of the hybrid element.
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In this technique, the whole structure is first divided into substructures based on the required master degrees-of-freedom.
In this work, efficient algorithms for sparse computations (reordering algorithms, storage schemes, symbolic factorization, master degree-of-freedom, L∗D∗U numerical factorization, forward and backward solutions) are developed and integrated into the proposed procedures.
To improve the convergence performance of the proposed algorithm, a concept of pseudo master degree-of-freedom (DOF) is put forward and the finite element (FE) model is reduced to the measured and user selected pseudo DOFs.
He received his master degree of engineering and public policy in Sept, 2013.
This was done in partial fulfillment of a master degree in Public Health program at An-Najah National University.
I'm fairly well educated – masters degrees from Harvard and University of South Carolina.
The paper presents the case of a team teaching experience at the Training of Trainers master degree program at the Faculty of Psychology and Education Sciences, University of Bucharest.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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