Examples of using Be generalized in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Computer
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Latin
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Cyrillic
This proof can be generalized to show that any root of any natural number which is not the square of a natural number is irrational.
The interval tree data structure can be generalized to a higher dimension N with identical query
but it may be generalized, taking possession of the personality of the subject as a whole.
This proof can be generalized to show that any root of any natural number is either a natural number or irrational.
which can also be generalized by the concept"types of branches of law".
the algorithm can be generalized for more than two.
The real answer, which can be generalized to all former love interests,
medicine could be generalized.
The sampling theory of Shannon can be generalized for the case of nonuniform sampling,
The results of an experiment can be generalized reliably from the experimental units to a larger statistical population of units only if the experimental units are a random sample from the larger population;
The concept can be generalized to a total, distortion, or true power factor
Cayley's formula can be generalized: a labeled tree is in fact a spanning tree of the labeled complete graph.
but they may be generalized to other trees as well.
It is all specific depending on person to person and cannot be generalized in any way.
but it can be generalized to topological spaces where we have no concrete way to measure distances.
while keeping in mind that this concept can be generalized to all reactions that involve leaving groups.
The really interesting aspect of this suggestion is that new technologies are now available for sequencing DNA that can be generalized to read any linear molecule,” McKay writes in an email.
randomization in research sites ensures that the estimates can be generalized from one group of participants to a more general population(think back to chapter 3 about sampling).
randomization in research sites ensures that the estimates can be generalized from a one group of participants to a more general population(think back to Chapter 3 about sampling).