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I have downloaded php file of a website through path traversal technique, but when I opened the file with notepad and notepad I only get encrypted text Is there any working way to view that file( n) 3 ( nlogn) 4 ( nlog2 n) 5 ( n2) 6 (2 n) Solution The total runtime of the algorithm in the worst case is ( n) The algorithm alternates between splitting Problem 15 19 points PeakFinding Proof Please modify the proof below to construct a proof of correctness for the most efficient correctZ À º § ö

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(a) O(n^2) (b) O(n^(3/2)) (c) O(n log n) (d) None of these Explanation – For higher values of n, n/2 >> 47, so we can ignore 47, now T(n) will be T(n) = 3T(n/2) 2*n^2 10*n – 1/2 = 3T(n/2) O(n^2) Apply master theorem, it is case 3 of master theorem T(n) = O(n^2) Option (a) is correct Attention reader!£ ô Ì ³ È ¦ È ¤ ö!) * æ M K ¦ È ¤!4 Handout 8 Problem Set 1 Solutions Thus T(n) an2 whenever a(n2=4 5n 25) n2 an2, which is equivalent to a(n2=4 5n 25) a(n2 1) This inequality is true, given any value of a, for n su ciently large, eg for n 100 Thus, we have proved that, for any constant a,

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A O(n) B O(log n) C O(n2) D O(n log n) View Answer 17 To measure Time complexity of an algorithm Big O notation is used which A describes limiting behaviour of the function B characterisesExample If f(n) = 10 log(n) 5 (log(n))3 7 n 3 n2 6 n3, then f(n) = O(n3) One caveat here the number of summands has to be constant and may not depend on n This notation can also be used with multiple variables and with other expressions on the right side of the equal sign The notation¶ ÒN30 ¤\Ø Ó N ~\£N30 ¤ × ò è\¤\Ù\ õ /!

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