What is the smallest value of n such that an algorithm whose
running time is 100n2
runs faster than an algorithm whose running time is 2n on the same
machine?
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What is the smallest value of n such that an algorithm whose running time is 100n2...
Could you please help me to solve the problem. Also, could you please answer questions in clear hand-writing and show me the full process, thank you (Sometimes I get the answer which was difficult to read).Thanks a lot What is the smallest positive value of n, where n is an integer, such that Algorithm A, whose running time is 100n2 runs faster than Algorithm B, whose running time is 2n , on the same machine (give your answer in whole number(s))
Assume that algorithm A1's running time roughly equals to T1(n) = 4n^2 + 2n + 6 and algorithm A2's running time roughly equals to T2(n) = 2n lg(n) + 10 . Suppose that Computer A's cpu runs 10^8 instructions/sec. When the input size equals to 10^4, 10^6, and 10^12 respectively, how long will algorithm A1 take to finish for each input size in the WORST case? How long will algorithm A2 take to finish for each input size in the...
EC2 (5 Points): The running time of Algorithm Ais (1) n? + 1300, and the running time of another Algorithm B for solving the same problem is 112n - 8. Assuming all other factors equal, at what input sizes) would we prefer one algorithm to the other? 7.5 EC3 (2.5 Points): What is the recurrence relation (an equation that recursively defines) of the Towers of Hanoi problem? Remember, the base case is T(1) = 1 BIVAAI EE11
Consider the following algorithm: a. What does this algorithm compute? b. Compute the running time of this algorithm. ALGORITHM Mystery(n) //Input: A nonnegative integer n for ← 1 to n do return S
a) Prove that running time T(n)=n3+30n+1 is O(n3) [1 mark] b) Prove that running time T(n)=(n+30)(n+5) is O(n2) [1 mark] c) Count the number of primitive operation of algorithm unique1 on page 174 of textbook, give a big-Oh of this algorithm and prove it. [2 mark] d) Order the following function by asymptotic growth rate [2 mark] a. 4nlogn+2n b. 210 c. 3n+100logn d. n2+10n e. n3 f. nlogn
(a) Give the pseudo-code for a recursive algorithm called Find_Smallest(A, n) that returns the value of the smallest element in an array of n integers called A. Assume the elements in the array are at locations A[1]..A[n]. (b) Give a recurrence T(n) for the running time of your algorithm. (c) Solve the recurrence in part (b)
7. What is the worst-case running time complexity of an algorithm with the recurrence relation T(N) = 2T(N/4) + O(N2)? Hint: Use the Master Theorem.
Give an algorithm with the following properties. • Worst case running time of O(n 2 log(n)). • Average running time of Θ(n). • Best case running time of Ω(1).
5. (570/470 bonus) Design an algorithm whose input is a list of n points, (xu, ) for isks n. Your algorithm should run in O(n) time and determine whether or not the convex hull of these n points is a triangle. Also explain why your algorithm runs in O(n) time.
4.5-2 Professor Caesar wishes to develop a matrix-multiplication algorithm that is asymptotically faster than Strassen’s algorithm. His algorithm will use the divide- and-conquer method, dividing each matrix into pieces of size n/4 x n/4, and the divide and combine steps together will take O(n) time. He needs to determine how many subproblems his algorithm has to create in order to beat Strassen’s algo- rithm. If his algorithm creates a subproblems, then the recurrence for the running time T(n) becomes T(n)...