
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Transcribed Image Text:Problem 3. Let n be an integer. Write dynamic programming algorithm which determines
in how many ways, with repetitions, can n be written as the sum of 1,2,4 and prove its time
complexity.
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- An algorithm A, has a runtime T1(n) defined (in seconds) by the following function:- T1(n) = n? +n +50 For n = 9, the runtime of algorithm A, is 140 seconds. Runtime of another algorithm A, is represented by the following equation:- T2(n) = 2n³ + 14n + 230 For n = 2, the runtime of algorithm Az is 274 seconds. Algorithm Az with runtime represented by the following equation. T3(n) = 3n? + 33n + 333 Identify all values of n (if such values exist) for which the runtime of Az exceeds the given runtime of 140 sec of A, but is less than the runtime of 274 seconds of A2. Type your answer here.arrow_forwardPlease help me solve the problem step by step.arrow_forwardIdentify the big-O time complexity of each of the following functions:void f1(int n) {for(int i=0; i<(3*n+n); ++i) {cout << i << endl;}for(int i=0; i<(10*n); ++i) {cout << i << endl;}}void f2(int n) {if(n==0) { return; }f2(n-1);f2(n-3);}void f3(int n) {for(int i=0; i<n; ++i) {for(int j=0; j<n; ++j) {for(int k=0; k<n; ++k) {cout << i << endl;}}}}arrow_forward
- 7. Suppose that you have two different algorithms for solving a problem. To solve a problem of size n, the first algorithm uses exactly n(log2 n) operations and the second algorithm uses exactly n3/2 operations. As n grows, which algorithm uses fewer operations?arrow_forwardDetermine the expected case running time of the algorithm. Fully justify your solution. Determine the best case running time of the algorithm and state what condition must be true forit to occur. No justification is needed! Determine the worst case running time of the algorithm and state what condition must be true forit to occur. No justification is needed!arrow_forwardDiscrete matharrow_forward
- 5. You are given a set of n positive numbers A = {a₁,..., an} and a positive integer t. Design a dynamic programming algorithm running in O(nt) time that decides whether there exists a subset A' CA such that Σ x = t. Note that each element of A can be xЄA' used at most once. Is the run-time of your algorithm polynomial with respect to the size of the input?arrow_forwardConsider the following recursive algorithm, where // denotes integer division: 3//2 = 1, 5//2 = 2, etc. F(n):if n <= 1: returnF(n//2)for i from 0 to n for j from 0 to n//2 print(i+j) Let function T(n) denote the running time of this algorithm. Derive T(n) and prove its worst case timecomplexityarrow_forwardplease answer with proper explanation and step by step solution.arrow_forward
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