Such functions do not arise naturally in algorithmic

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Unformatted text preview: Such functions do not arise naturally in algorithmic complexity analysis so in this class we can safely ignore them and say things like “suppose n is of the form ...”. 5 pts for the 2 2 k substitution 5 pts for solving the recurrence relation 5 pts for arriving at Θ(log log n ) Extra Credit 2: 15 points Without using the Java math library to compute logarithms give a Java method that runs in worst- case time that is Θ(log log n ) while taking more than 10 12 steps for inputs of size 5. You should give your program and analyze it to show the running time. Answer Here is the program: public static void logLog(char a) { long n = a.length; if ( n==5 ) { for (long i = 1; i <= 1000000000000000L; i++ ) a[0] = z; return; 7 } for (long j = 2; j < n; j = j*j ) a[0] = z; } And here is the analysis. The i-loop inside the if-statement executes exactly when the input has size 5. Its body takes at least one step (actually it takes three steps) and runs in O (1). Moreover this i-loop iterates exactly 10 12 times so it takes more than 10 12 steps. Nonetheless, the i-loop runs in O (1). Therefore the if-statement also runs in O (1). The body of the j-loop runs in O (1). Now we have to see how many iterations does the j-loop perform. Let V ( k ) be the value of j after k iterations. We have V (0) = 2 and V ( k + 1) = V ( k ) 2 . Because 2 2 = 2 1 = 2 and (2 2 k ) 2 = 2 (2 k ) · 2) = 2 2 k +1 it follows that V ( k ) = 2 2 k (I just used induction here, surreptitiously :). So the number k of iterations of the j-loop is given by the smallest k such that 2 2 k ≥ n , i.e., k = d log log n e . Therefore the j-loop runs in time O (log log n ), and in fact, since the j-loop actually takes d log log n e iterations the running time is Θ(log log n ). The worst-case running time of the program is therefore Θ(log log n ). 5 points for correctness of code given (working code that achieves the given runtime bound) 10 points for analysis and correct conclusions 8...
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Such functions do not arise naturally in algorithmic...

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