Examples of using Non-linear in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Cyrillic
Non-linear equations?
In this case, it's not,it's non-linear.
What is Non-Linear Thinking?
If they're not, then we're dealing with a non-linear function.
Queues. Non-linear data structures.
Dose response curves are often both non-linear and non-monotone.
Non-linear and linearized models- comparison; 4.
The Modified Method for solving non-linear programming problems.
Models of non-linear optical effects in nanostructures.
In this situation dependence of the potential on pH become non-linear.
Linear and non-linear control system libraries.
First order equations(linear, non-linear, Lyness type).
You're using non-linear transformation for all the cognitive controllers.
There are the two common examples of the non-linear data structure- tree and graph.
Solving the non-linear equations system: iterative method, Newton's, gradient method.
Artificial Neural Networks for modeling of dynamic non-linear systems.
Solution of linear and some non-linear equations over various domains.
Non-linear ionic-drift models have been proposed to compensate for this deficiency.
The denial and distortion of non-linear Vibration, sent to you for your own development.
In addition, more and more viewers are moving from linear to non-linear content consumption.
These loop equations are non-linear constraints on the configuration parameters of the system.
Great old-school platform game with great graphics and non-linear levels and one boss!
VideoLAN Movie Creator is a non-linear editing software for video creation. For Professionals.
Low consumption and super linear design,improved transmitting power and reduced non-linear distort.
And, of course, to David's way of non-linear thinking, This can be easily obtained.
We shall present to you an understanding of two contrasting ways of thinking- linear and non-linear thinking.
VLMC VideoLAN Movie Creator is a non-linear editing software for video creation.
Deep learning(also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise,composed of multiple non-linear transformations.[ 1][ 2][ 3][ 4][ 5][ 6][ 7][ 8].
Use an amplifier with non-linear gain to achieve companding entirely in the analog domain.
The need arises from the interactive,co-linear and non-linear behaviour of typical process simulations.