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nonlinear    音标拼音: [nɑnl'ɪn,iɚ]
a. 非线性的

非线性的

non-linear
非线性


nonlinear
非线性

nonlinear
adj 1: designating or involving an equation whose terms are not
of the first degree [ant: {additive}, {linear}]

nonlinear \nonlinear\ adj.
1. (Math.) Not depictable graphically as a straight line; not
changing by a constant amount for each unit of time,
distance, or other independent variable. Opposite of
{linear}.
[WordNet 1.5 PJC]

2. (Math.) Containing variables of greater than the first
degree; -- of an equation. Opposite of {linear}.
[PJC]

3. (Physics) Represented by equations containing variables of
greater than the first degree; -- of physical processes or
relationships. Opposite of {linear}.
[PJC]

(Scientific computation) A property of a system whose output
is not proportional to its input. For example, a {transistor}
has a region of input voltages for which its output voltage is
found by multiplying the input voltage by the gain of the
transistor. Outside this region though, the transistor
behaves non-linearly, meaning that it does not obey this
simple equation. The behaviour of a system containing
non-linear components is thus harder to model and to predict.

[{Jargon File}]


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  • Home | Nonlinear Dynamics - Springer
    Nonlinear Dynamics is a hybrid journal publishing original content at the forefront of nonlinear dynamic research across diverse systems and scales The journal covers nonlinear dynamics in mechanical, structural, civil, aeronautical, ocean, electrical, control, and hybrid systems
  • Learning global linear representations of nonlinear dynamics - Springer
    In this work, we show nonlinear dynamics with a continuous Koopman spectrum, a limit cycle, and coexisting solutions that can be globally linearized To this end, we explicitly construct linear systems mimicking these nonlinear behaviors Subsequently, we approximate transformations between linear and nonlinear systems with deep neural networks
  • Nonlinear Acoustics - SpringerLink
    Chapters 10 through 15 cover applications and additional methodologies encountered in nonlinear acoustics that include perturbation and numerical methods, ray theory for inhomogeneous moving media, statistical and parametric phenomena, and biomedical applications
  • Home | Journal of Nonlinear Science - Springer
    The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena It features papers that make an original contribution to at least one technical area and illuminate issues beyond that area's boundaries
  • Home | Nonlinear Differential Equations and Applications NoDEA - Springer
    Nonlinear Differential Equations and Applications (NoDEA) serves as a platform for research on nonlinear differential equations with applications in various scientific fields Areas of interest include deterministic and stochastic ordinary and partial differential equations, and mathematical control theory
  • Nichtlineare Systeme und Regelungen | SpringerLink
    Professor Adamy promovierte in Regelungstechnik, er arbeitete viele Jahre in der Industrie als Entwicklungsingenieur und entwickelte später als Manager Regelungen für den Anlagenbau Seit 1998 ist er Professor für Regelungstheorie und Robotik an der TU Darmstadt und z Zt geschäftsführender Direktor des Instituts für Automatisierungstechnik
  • Nonlinear Dynamics - NODYCON 2025 - Springer
    Nonlinear Dynamics - NODYCON 2025 The Fourth International Nonlinear Dynamics Conference (NODYCON 2025) will be hosted in person by the Stevens Institute of Technology from June 22 to 25, 2025
  • Articles | Nonlinear Dynamics - Springer
    Nonlinear Dynamics is a hybrid journal publishing original content at the forefront of nonlinear dynamic research across diverse systems and scales The
  • Structural nonlinear boundary condition identification using a hybrid . . .
    To address these issues, a hybrid physics-data-driven strategy is developed in this study to identify the blind nonlinearity The nonlinear structural components are surrogated by a data-driven multilayer perceptron, and the linear ones are simulated by using the finite element method
  • Data-driven nonlinear and stochastic dynamics with control
    The analysis is developed with reference to a nonlinear beam where the two boundary conditions have nonlinearities and masses, with the goal of identifying the uncertain parameters by minimizing the theoretical to data frequencies difference





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