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.
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A computer BIT is the amount of data that a CPU can manipulate at one time.
