Answered: Run Time Analysis Provide the tightest…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. void hanoi(int n) {       if( n==1 )             time++;       else       {             hanoi(n-1);             time++;             hanoi(n-1);       } }
Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. void padawan(int n) {       if( n <= 1 )             time++;       else       {             for(int i=0; i<n; i++)                         time++;             padawan(n/3);             padawan(n/3);             padawan(n/3);       } } void nerfHerder(int n) {       if( n <= 1 )             time++;       else       {             for(int i=0; i<n; i++)                   time++;             nerfHerder(n-1);       } } void squire(int n) {       if( n <= 1 )             time++;       else       {             squire(n/2);             squire(n/2);             for(int i=0; i<n; i++)                   for(int j=i; j<n; j++)                         time++;             squire(n/2);             squire(n/2);             squire(n/2);             squire(n/2);             squire(n/2);             squire(n/2);       } } void jedi(int n) {       if(…
Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. int fib(int n) {       if( n==0 )             return 0;       else if( n==1 )             return 1;       else       {             return fib(n-1) + fib(n-2);       } }
Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. void strass(int n) {    if( n<=1 )          time++;    else    {          strass(n/2);          strass(n/2);          strass(n/2);          for(int i=0; i<n; i++)                for(int j=i; j<n; j++)                      time++;          strass(n/2);          for(int i=n/2; i<n; i++);                time ++;          strass(n/2);          strass(n/2);          strass(n/2);    } }
Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. void sithLord(int n) {       if( n <= 200 )             time += 700;       else       {             sithLord((7*n)/10);             for(int i=0; i<n; i++)                   time++;             sithLord(n/5);             for(int i=0; i<130*n; i+=10)                   time++;       } }
Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. \\ void jedi(int n) {       if( n <= 147 )             time += 54;       else       {             for(int i=0; i<n/2; i++)                   time++;             jedi(n/3);             for(int i=0; i<13*n; i++)                   time++;             jedi((2*n)/3);       } }
What are Ensemble Algorithms? Write an algorithm for BOOSTING method. Assume that two individuals offer to sell you their predictive models M1 and M2. The confusion matrices produced by each model are as follows. What is the accuracy of each model? Assuming that precision is of paramount importance in your application, which of the two models would you buy? Why? Performance of M1 Performance of M2 Predicted True Predicted False Predicted True Predicted False Actually True 5 95 Actually True 85 15 Actually False 10 90 Actually False 95 5
In the context of evolutionary computing the goal function is known as the fitnessfunction and the problem is to maximize it. The typical formulation has to be changedin a simple way.min f (x) = − max[− f (x)] (4.9)Another requirement is that the goal function is positive.Phenotype evolution treats x as a phenotype and the goal function as the fitnessfunction. The typical framework for the method is as follows:
please try to simulate the probability of rolling a Die with Sample Space* S={1,2,3,4,5,6} and the probability of each sample point has a 1/6 chance of occurring, i.e., you need to verify that your simulation converges to 1/6 when you select one point of sample space. When X is a random variable for sample point of rolling a Die, Pr(X<=4)=2/3. Please verify this result by simulation. Please let me know how to make an Excel file as stated above.
Taxi fare system in the Philippines - If the distance on the meter is within 1 km then is 40.00php is taken and for further kilometers, 11.42php is taken, aside from that, there is a charge of 3.5 php for 120 seconds of waiting or what we called traffic wait time which is equivalent for a run time of 300 meter. Does this scenario depicts piecewise method? Why?
The null and alternative hypotheses for a hypothesis test of the difference in two population proportions are: Null Hypothesis: Alternative Hypothesis: Notice that the alternative hypothesis is a one-tailed test. Suppose proportions_ztest method from statsmodels is used to perform the test and the output is (1.13, 0.263). What is the P-value for this hypothesis test? Select one. A 0.1315 B 0.263 C 1.13 D -1.13
Analyze the worst case, the best case and average cese scenarios while executing the following algorithm using appropriate examples: Divide and conquer

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Run Time Analysis Provide the tightest big-Oh bound on the run time for each of the following methods. int pow(double x, int n) { if( n==0 ) return 1; else { double halfpower = pow(x,n/2); if( n % 2 == 0 ) {