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.
Answer:
Yes, is should work
Explanation:
USB is widely adopted and supports both forward and backward compatibility. The USB 3.0 printer should work with the USB 2.0 computer. However, having a connection like this, the printer will only be able to work at the speeds of the computer’s USB 2.0. By default, USB is built to allow transfer speeds improvement with upgrades from previous generations while still maintaining compatibility between devices that are supported by them.
1.) narrative = a THATS all I can answer rn sorryyyy
Have you ever tried to learn a new language or do you have friends who've had that experience?
Yes, I tried to learn Python and I even managed to do two Discord bots which are (somewhat) functional, but I'm far to say that I've managed to lean the language completly. There are lots of things to learn on a language as Python.
I also leant PHP on my own and managed to do a website (somehow) functional.
What are some of the steps you would take to learn a new language, and what are some challenges that might arise?
The first steps in learning any computer language is learning the syntax. If you manage to do that, with the experience you gained from previous projects/languages you might be able to create something working. At times you might feel down if the project doesn't work as expected.
What are some things that can help make the process easier?
Video tutorials, experiments and searching questions and problems on Google is a very important resource.
Answer:
If your cpu usage levels are greater than 90% during most of your work session, a faster CPU can greatly increase your computer's performance
Explanation:
CPU usage level is a good indicator for the computer performance.
Generally, computers use a low portion of their CPU power. When you open an application or listen to music on your computer, CPU usage level increases. After CPU intensive process ends, the CPU usage should drop to lower level again.
But if the CPU usage level is high all the time you use the computer, then it means that either there is a problem causing continuous CPU usage or your CPU is not fast enough. In the case of latter, you'd better to have a faster CPU.
