Answer:
polynomial-bounded algorithms
Explanation:
There are two algorithm complexities and they are time and space complexities. They can be denoted with the big-O notation. The big-o notation for a time and space complexity gets the worst-case time and space respectively.
The time complexity gets the measure of the execution time of an algorithm. When the time function is a polynomial ( k^n + k^n-1 ...) then the algorithm is said to be a polynomial-bounded algorithm.
Answer:
O(n) which is a linear space complexity
Explanation:
Space complexity is the amount of memory space needed for a program code to be executed and return results. Space complexity depends on the input space and the auxiliary space used by the algorithm.
The list or array is an integer array of 'n' items, with the memory size 4*n, which is the memory size of an integer multiplied by the number of items in the list. The listSize, i, and arithmeticSum are all integers, the memory space is 4(3) = 12. The return statement passes the content of the arithmetic variable to another variable of space 4.
The total space complexity of the algorithm is "4n + 16" which is a linear space complexity.
Answer:
Go for an interview before quitting your job.
Explanation:
You don't want to lose your job, do you? :)
Answer:
Baje las persianas o cierre las cortinas en los días calurosos, para mantener la casa fresca y reducir el uso de ventiladores eléctricos o aire acondicionado. Deje que la ropa se seque naturalmente. Mantenga las tapas en las ollas cuando cocine para ahorrar energía. Use baterias recargables.
