nonlinear

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nonlinear

adjective Not linear, random

nonlinear

(non″lin′ē-ăr)
Not linear; not obeying a linear relationship. In mathematics, a linear equation may be given in the form y = mx + b, where x is the independent variable, and y is the dependent variable. A nonlinear relationship cannot be represented by such an equation.
References in periodicals archive ?
From an ecological standpoint, the ontogenetic contribution of oysters in terms of habitat (Powell and Klinck 2007, Mann and Powell In review), filtration rate (Newell and Langdon 1996), and, in diploid animals, fecundity (Dame 1976, Cox and Mann 1992, Thompson et al., 1996) increases nonlinearly with size and age.
The magnetic permeability of the steel of the element [[mu].sub.k] depends nonlinearly on the current [I.sub.k] passing through the k-th element.
All the equilibrium points of the family E are nonlinearly stable.
Yuan, "Robust adaptive finite-time stabilization of nonlinearly parameterized nonholonomic systems," Acta Applicandae Mathematicae, vol.
We showed that this part of the index of refraction depends nonlinearly on the radiation intensity.
From the root [square root]rv' one can derive nonlinearly the word riv'on 'quarter (of a year)' in (4) and the stem reva 'quarter' from which revi'on 'quarter, quadrant' in (11) is derived linearly.
CK activity was found to be nonlinearly associated ([square root of CK]) with the 99th percentile ([beta] = 22.2 ng/L, P < 0.001) with use of fractional polynomial curve fitting.
Ozone concentrations respond nonlinearly to changes in emitted precursor gases, with some precursors being more influenced by human activities than others.
21, 2018 (HealthDay News) -- Perioperative glucose predicts 30-day mortality linearly in noncardiac surgical patients and nonlinearly in cardiac surgical patients, according to a study published online Feb.
The mechanical properties of single-crystal bulk Mg2Si were investigated by Yu [15], and the results show that the ultimate stress decreases nonlinearly with increasing vacancy concentrations.
It maps the nonlinearly separable sample set to a high-dimensional or even infinite dimensional feature space to make it linearly separable and find the optimal classification surface in this high-dimensional feature space.