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In algorithmic inference, a well-behaved statistic is monotonic, well-defined, and sufficient. In Bézout's theorem, two polynomials are well-behaved, and thus the formula given by the theorem for the number of their intersections is valid, if their polynomial greatest common divisor is a constant.
Although the term well-behaved statistic often seems to be used in the scientific literature in somewhat the same way as is well-behaved in mathematics (that is, to mean "non-pathological" [1] [2]) it can also be assigned precise mathematical meaning, and in more than one way. In the former case, the meaning of this term will vary from context ...
well-behaved An object is well-behaved (in contrast with being Pathological ) if it satisfies certain prevailing regularity properties, or if it conforms to mathematical intuition (even though intuition can often suggest opposite behaviors as well).
With lots of tempting distractions, from people to other dogs to wildlife, a dog who doesn’t behave well in public can be seen as an annoyance, or even hurt themselves or someone else – even ...
Fortunately, however, getting a well-behaved dog in public — whether they’re sporting one of the best dog leashes or not — doesn’t need to be difficult. In fact, just a few key things can ...
For example, in Measurable function "well-behaved" isn't part of the definition, it's an additional piece of information. And in Newton's method the method itself doesn't use the term "well-behaved" so it's not circular for a "well-behaved" region to be one where Newton's method works. There's no single technical meaning of "well-behaved": each ...
Brat: A term used to describe a badly-behaved or spoiled child. Burden: A term (also ableist) of contempt or disdain used to describe old and infirm or disabled people who either don't contribute to society or who contribute in a limited way; this lack of contribution may be imposed or facilitated by social stigma and other factors.
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