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A fixed effects vector decomposition procedure [Plumper, V., Troeger, V. E., 2007.
Over an extended period of time (1990 2006) we used panel data techniques, namely the fixed effects vector decomposition.
In this paper, the gas action effect has been analyzed by the method of rotation vector decomposition.
We then perform a singular vector decomposition of the matrix, and enforce rank on by choosing only most significant singular values.
Towards a general nonlinear analysis, we propose a learning-based target decomposition algorithm for the classification of SAR images, called Kernel K-singular vector decomposition (Kernel KSVD).
A "vector decomposition method" was used to decompose the total values of position into the variations induced by strain and doping.
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We applied singular-vector decomposition (SVD) of the temperature-dependent absorption spectra to estimate the absolute ratio of ground-state subpopulations.
In this case, one has the vector space decomposition, where 〈·〉 denotes linear span.
According to this algorithm, the length of the path vector at decomposition level ℓ is N 1 N 2 2 ℓ − 1.
Sensor and actuator saturations are characterized by a vector-valued decomposition method and the stochastic nonlinearities are approximated by a statistical method.
For each combination of reaction vectors as a decomposition of a difference vector, all permutations in the sequences of the reaction vectors were generated.
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