Asymptotic
it was cotton candy puffs...
A data controller is a person who controls the data.
The domain of the Normal distribution is the whole of the real line. As a result the horizontal axis is asymptotic to the Normal distribution curve. The curve gets closer and closer to the axis but never, ever reaches it.
Not necessarily. It can be payed to you or any person within a given amount of time and it can be payed repetitivly!!
Peter D. Miller has written: 'Applied asymptotic analysis' -- subject(s): Asymptotic theory, Differential equations, Integral equations, Approximation theory, Asymptotic expansions
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Edward Thomas Copson has written: 'Asymptotic expansions' -- subject(s): Asymptotic expansions
A curve may be both asymptotic and a line of curvature, in which case the curve is a line (such as the rulings of a ruled surface).
In mathematics, an asymptotic analysis is a method of describing limiting behaviour. The methodology has applications across science such as the analysis of algorithms.
Asymptotic
Musafumi Akahira has written: 'The structure of asymptotic deficiency of estimators' -- subject(s): Asymptotic efficiencies (Statistics), Estimation theory
A graph of y against x has an asymptote if, its y value approaches some value k but never actually attains it. The value k is called its asymptotic value. These are often "infinities" when a denominator in the function approaches 0. For example, y = 1/(x-2) has an asymptotic value of minus infinity when x approaches 2 from below and an asymptotic value of + infinity from above. But the asymptotic value need not be infinite - they could be a "normal number. For example y = 3-x + 2.5 has an asymptotic value of 2.5. y is always greater than 2.5 and as x increases, it comes closer and closer to 2.5 but never actually attains that value.
J. Lewowicz has written: 'Asymptotic directions of the solutions of linear differential equations' -- subject(s): Asymptotic theory, Linear Differential equations
This is much much stronger then BIBO & asymptotic.
F. H. Ruymgaart has written: 'Asymptotic theory of rank tests for independence' -- subject(s): Asymptotic theory, Statistical hypothesis testing
The asymptotic upper bound for the time complexity of the algorithm is the maximum amount of time it will take to run, as the input size approaches infinity.