(redirected from differentiability)
Also found in: Dictionary, Thesaurus, Medical, Financial, Encyclopedia.

DERIVATIVE. Coming from another; taken from something preceding, secondary; as derivative title, which is that acquired from another person. There is considerable difference between an original and a derivative title. When the acquisition is original, the right thus acquired to the thing becomes property, which must be unqualified and unlimited, and since no one but the occupant has any right to the thing, he must have the whole right of disposing of it. But with regard to derivative acquisition, it may be otherwise, for the person from whom the thing is acquired may not have an unlimited right to it, or he may convey or transfer it with certain reservations of right. Derivative title must always be by contract.
     2. Derivative conveyances are, those which presuppose some other precedent conveyance, and serve only to enlarge, confirm, alter, restrain, restore, or transfer the interest granted by such original conveyance, 3 Bl. Com. 321.

References in periodicals archive ?
The fuzzy gH-fractional Caputo differentiability of the fuzzy-valued function f is defined as follows:
[23] also established the necessary optimality conditions for fuzzy fractional variational problems using the concept of Caputo and combined Caputo differentiability based on Hukuhara difference of fuzzy functions.
f(x) Interval(s) Interval(s) of of continuity differentiability f(x) = 2--4x f(x) = [square root of (x-5)] f(x) = cos x + 1 f(x) = [x.sup.2]-x + 1 f(x) = 9-[x.sup.2] on [0, 3] f(x) = 1/[(x-2).sup.2] f(x) =
By the continuous differentiability of f and h, there is a constant L > 0 such that
In Section 4, we examine the Malliavin differentiability of the solution, in the case when the function [sigma] is affine.
Agop, Differentiability and Fractality in Dynamics of Physical Systems, World Scientific, Singapore, 2016.
We use the process given below to estimate the differentiability of a pair of algorithms on a data set.
These above results of fuzzy optimization are based on well-known and widely used algebraic structures of fuzzy numbers and the differentiability of fuzzy mappings was based on the concept of Hukuhara difference.
The strict differentiability of G implies that the mapping x [right arrow] [psi](x, 0) is continuous at the point x and
However, due to difficulties of differentiability, non-linearity, and non-convexity, these methods failed to provide the global optimum and only reached the local one.