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The experiments show that (i) random combination of transformation operators across different dimensions outperforms most of the conventional data transformation operators for different kinds of datasets.
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This plan database handles fully dynamic plans (insertion and removal of tasks), defines task transformation operators and provides tools for safe concurrent execution and modification of plans.
The transformation operators are combinations of the Laplace transform operator and additional integral operators.
For this aim the Gelfand-Levitan integral equation and transformation operators were used in [6].
Based on these conventional transformation operators Φ and Ψ, a general form Ω of the transformation operator is proposed to represent different kinds of transformation operators.
and operators ("for all" and "for some").
As the most fundamental works in this direction we mention [8, 9], which gave rise to the so-called transformation operator method having become an important tool for studying inverse problems for selfadjoint Sturm-Liouville operators.
In addition, for simplicity, we denote the combined rigid transformation operator κ β := τ a Λ R. We now describe the gradient-guided refinement for the subtomogram alignment, given a coarse initial solution for R and a.
An important role in the inverse spectral theory for the Sturm-Liouville operator was played by the transformation operator method (see [2, 3] and the references therein).
where z is transformation operator.
He studied the inverse problem for the non-self-adjoint locally integrable potential by the generalized spectral function by using the method of transformation operator.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com