Formally, an algorithm is polynomial if [...] Here, O(n k ) denotes the class of all functions that, for large values of n, grow no faster than c · n k for some constant number c (this is the “Big-O notation”). For instance, when k = 1, the running time is linear, and when k = 2, the running time is quadratic in n.
Answer
there exists a k ∈\(\mathbb{N}\) such that its running time is in O(n k ), where n is the size of the input.
Tags
#computation #social-choice
Question
Formally, an algorithm is polynomial if [...] Here, O(n k ) denotes the class of all functions that, for large values of n, grow no faster than c · n k for some constant number c (this is the “Big-O notation”). For instance, when k = 1, the running time is linear, and when k = 2, the running time is quadratic in n.
Answer
?
Tags
#computation #social-choice
Question
Formally, an algorithm is polynomial if [...] Here, O(n k ) denotes the class of all functions that, for large values of n, grow no faster than c · n k for some constant number c (this is the “Big-O notation”). For instance, when k = 1, the running time is linear, and when k = 2, the running time is quadratic in n.
Answer
there exists a k ∈\(\mathbb{N}\) such that its running time is in O(n k ), where n is the size of the input.
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Open it Formally, an algorithm is polynomial if there exists a k ∈\(\mathbb{N}\) such that its running time is in O(n k ), where n is the size of the input. Here, O(n k ) denotes the class of all functions that, for large values of n, grow no faster than c · n k for some constant number c (this is the “Big-O notation”). For instance, wh
Original toplevel document (pdf)
owner: rappatoni - (no access) - CompSocBook.pdf, p36
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