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Such transformations are varied and include predicting the outcome of a rotation or reflection as well as more complex dynamic spatiotemporal operations, such as the multiple transformations involved in simulating movement in a pulley system or gear train.
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In essence, there are multiple tradeoffs involved.
The process of iterative QR transformations called the Gram-Schmidt QR transformations involves two operation phases alternatively performed.
These transformations involve As chemical and biochemical transformations in air, waters, sediments, and soils.
More sophisticated transformations involve the BOX-COX procedure.
Trait transformations involving ranks tend to lead to increased power compared to the other considered data transformations.
Feature extractions involve multiple transformations, some of them nonlinear, which are performed jointly on multiple features of the same frame or by combining features from different time frames.
Multiple transformations were performed to produce libraries of sufficient complexity.
But at least one transformation involves more than a change of scene.
A parallel transformation involves benzopyran moiety with the ring cleavage.
A displacive transformation involves the motion of a glissile interface.
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