algorithm’s complexity is measured on input size instead of input values. Please indicate the input size for an algorithm that solves the following problem: Given: a number n and two primes p, q, Question: is it the case that n = p · q? So I want a help Determining the input size.
The questions objective is skeptical.
If there are three values to operate on as 'n', 'p' and 'q', the size of the input, in terms of count of variables used is. '3' integers. On the other hand, the size of three integers (considering 2 byte per integer), in regard to storage will be 3 x 2 bytes = 6 bytes.
The task of determining the equality can be done by s simple logical expression as: n==(p*q)
Please comment in case you want help in further direction.
algorithm’s complexity is measured on input size instead of input values. Please indicate the input size...
Exercise 7.3.5: Worst-case time complexity - mystery algorithm. The algorithm below makes some changes to an input sequence of numbers. MysteryAlgorithm Input: a1, a2....,an n, the length of the sequence. p, a number Output: ?? i != 1 j:=n While (i < j) While (i <j and a < p) i:= i + 1 End-while While (i <j and a 2 p) j:=j-1 End-while If (i < j), swap a, and a End-while Return( aj, a2,...,an) (a) Describe in English...
Suppose we are given two sorted arrays (nondecreasing from index 1 to index n) X[1] · · · X[n] and Y [1] · · · Y [n] of integers. For simplicity, assume that n is a power of 2. Problem is to design an algorithm that determines if there is a number p in X and a number q in Y such that p + q is zero. If such numbers exist, the algorithm returns true; otherwise, it returns false....
always explain their correctness and analyze their complexity. The complexity should be as small as possible Consider the following question. Given a SORTED array and a number z, find if there are two number i != j, so that A[i] + A[j] = z. Give the best algorithm you can for this problem. Explain very precisely your answer.
Determine the runtime complexity of the following. Use O() notation, but the function that you place within the parentheses of O() should be the upper bound on the runtime of the algorithm or function. Unless otherwise specified, N is the problem size or the number of elements in the container (even if N does not appear in the code or algorithm you are given), and all other values are constants. For graphs, use |V| and |E| for the size of...
Provide a most efficient divide-and-conquer algorithm for determining the smallest and second smallest values in a given unordered set of numbers. Provide a recurrence equation expressing the time complexity of the algorithm, and derive its exact solution in the number of comparisons. For simplicity, you may assume the size of the problem to be an exact power of a the number 2
Provide a divide-and-conquer algorithm for determining the smallest and second smallest values in a given unordered set of numbers. Provide a recurrence equation expressing the time complexity of the algorithm, and derive its exact solution (i.e., not the asymptotic solution). For simplicity, you may assume the size of the problem to be an exact power of a the number 2
The Sieve of Eratosthenes is a simple, ancient algorithm for finding all prime numbers up to any given limit. It does so by iteratively marking as composite lie., not prime) the multiples of each prime, starting with the multiples of 2 The sieve of Eratosthenes can be expressed in pseudocode, as follows: Input: an integer n Let A be an array of 8oo1ean values, indexed by integers 2 to n, initially all set to true. for t - 2, 3,...
Below is a linear time complexity algorithm Max-Min-VER1 to find the biggest and smallest element a given list. Input: A is a given list Output: two integers Example: Given A = {1, 5, 9, -3}. It returns -3 (the smallest element), and 9 (the biggest element) Max-Min-VER1(A, n) Line 1: large ← A[0] Line 2: for I from 1 to n - 1 do Line 3: large ← Math.max(large, A[I]) Line 4: small ← A[0] Line 5: for I from...
PYTHON I need help with this Python problem,
please follow all the rules! Please help! THANK YOU!
Bonus Question Implement an efficient algorithm (Python code) for finding the 11th largest element in a list of size n. Assume that n will be greater than 11. det find 11th largest numberlissy Given, lissy, a list of n integers, the above function will return the 11th largest integer from lissy You can assume that length of lissy will be greater than 11....
I saw other student's Q&A that expert answered. but I can't understand this problem. please solve this problem. 24. Write an algorithm for the 2-coloring problem whose time complexity is not worst-case exponential in n.