The false statement about onStep is: B. The default number of steps per second is 30.
<h3>What is an onStep?</h3>
An onStep can be defined as a computerized telescope goto controller that is designed and developed to <u>animate shapes</u> while using it on a variety of mounting systems such as forks.
<h3>The characteristics of an onStep.</h3>
In Engineering, some of the characteristics that are associated with an onStep include the following:
- The onStep function can be called without user input.
- It can be used to animate shapes without user input.
- It only runs a certain number of times.
In conclusion, the default number of steps per second for onStep isn't 30.
Read more on onStep here: brainly.com/question/25619349
Answer:
the police officer cruise each streets precisely once and he enters and exit with the same gate.
Explanation:
NB: kindly check below for the attached picture.
The term ''Euler circuit'' can simply be defined as the graph that shows the edge of K once in a finite way by starting and putting a stop to it at the same vertex.
The term "Hamiltonian Circuit" is also known as the Hamiltonian cycle which is all about a one time visit to the vertex.
Here in this question, the door is the vertex and the road is the edge.
The information needed to detemine a Euler circuit and a Hamilton circuit is;
"the police officer cruise each streets precisely once and he enters and exit with the same gate."
Check attachment for each type of circuit and the differences.
Historical data is examined for patterns that are then used to make predictions is one of the analysis methods that describe neural computing
What is neural computing?
A neural network is an artificial intelligence technique that instructs computers to analyze data in a manner modeled after the human brain. It is a kind of artificial intelligence technique known as deep learning that makes use of interconnected neurons or nodes in a layered structure to mimic the human brain.
Historical data is nothing but the existing network data which is stored for the predicting in future
In the context of neural networks, the word "pattern" refers to a collection of activations over a group of units (neurons).
Hence to conclude neural netwoks almost describes the patterns
To know more on neural networks follow this link
brainly.com/question/27371893
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Answer:
True ❤️
-Solid by solid can make Cylindrical wire doubles Strengths in tension