I believe it’s boundaries
Answer:
O(N!), O(2N), O(N2), O(N), O(logN)
Explanation:
N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.
2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.
Rest of them should be easier.
N² is slower than N and N is slower than logN as you can check in a graphing calculator.
NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.
The decisions that a specialized drone delivering medical supplies make once it's algorithm has started and it is scanning its surround are:
- A tilt backyard when sensor detects an obstacle within 10 feet.
- To disable self flying and alert pilot when sensor detects an obstacle within 3 feet.
- To resume normal speed when sensor doesn't detect an obstacle within two feet.
<h3>How are drones used in healthcare?</h3>
Hospitals are known to have started using drones to transport laboratory samples and also to carry out other kinds of humanitarian aids.
The use of drones is said to be one that is cost-effective and it is one that bring blood products, vaccines, medical supplies, and others to rural areas or areas that has small infrastructure.
A drone can find way to move around obstacles but they should not shut down where there is obstacle.
Learn more about drone from
brainly.com/question/24530012
Explanation:
the third answer is correct
