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The physical network topology can be directly represented in a network diagram, as it is simply the physical graph represented by the diagrams, with network nodes as vertices and connections as undirected or direct edges (depending on the type of connection). [3]
Related titles should be described in Simple linear regression, while unrelated titles should be moved to Simple linear regression (disambiguation). ( May 2019 ) Line fitting is the process of constructing a straight line that has the best fit to a series of data points.
The representation of a grammar is a set of syntax diagrams. Each diagram defines a "nonterminal" stage in a process. There is a main diagram which defines the language in the following way: to belong to the language, a word must describe a path in the main diagram. Each diagram has an entry point and an end point.
An example of a linear time series model is an autoregressive moving average model.Here the model for values {} in a time series can be written in the form = + + = + =. where again the quantities are random variables representing innovations which are new random effects that appear at a certain time but also affect values of at later times.
A typical one-line diagram with annotated power flows. Red boxes represent circuit breakers, grey lines represent three-phase bus and interconnecting conductors, the orange circle represents an electric generator, the green spiral is an inductor, and the three overlapping blue circles represent a double-wound transformer with a tertiary winding.
The term "diagram" in its commonly used sense can have a general or specific meaning: visual information device : Like the term "illustration", "diagram" is used as a collective term standing for the whole class of technical genres, including graphs, technical drawings and tables.
In 2011, the company started publishing its hosted service for the mxGraph web application under a separate brand, Diagramly with the domain "diagram.ly". [12]After removing the remaining use of Java applets from its web app, the service rebranded as draw.io in 2012 because the ".io suffix is a lot cooler than .ly", said co-founder David Benson in a 2012 interview.
In machine learning, a linear classifier makes a classification decision for each object based on a linear combination of its features.Such classifiers work well for practical problems such as document classification, and more generally for problems with many variables (), reaching accuracy levels comparable to non-linear classifiers while taking less time to train and use.