Algorithm 1 Algorithm to convert a binary number to its numeric value Input: n, bn-1, bn-2, ..., bo giving an n-bit binary number Σb;2¹ (b; € {0,1}) Output: z is the value of the integer. 1:0
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- Algorithm A, Algorithm B, and Algorithm C perform the same task. On input of size n, Algorithm A executes 10500n instructions, Algorithm B performs 30n2 instructions, and Algorithm C executes the ceiling of (1/1024) * 2n instructions. Assume each instruction requires the same amount of time in each algorithm. Algorithm A is slower than Algorithm B when the size of the input is less than .... Algorithm A is slower than Algorithm C when the size of the input is less than .... Algorithm C is fastest of the three when the size of the input is less than ....Question 4# Read the following algorithm: Algorithm for converting a fraction r into binary with p binary places. Inputs: fraction EQ, 0 < x <1 and number of places pЄN. Outputs: bits b1, b2b, such that (0.bb.bp)2 is the best approximation to r using p binary places. Method: Initialise: j1, b1, b2,, bp 0 Loop: if jp+ 1 stop. jj+1 If ≥1 [b, 1, -1] Repeat loop (a) Verify that the algorithm converts to 0.11010, when p= 5. Can you spot how to express exactly in repeating binary? (b) Express 0.8510 as accurately as possible with 8 binary places.Given a positive integer, check whether it has alternating bits: namely,if two adjacent bits will always have different values.For example:Input: 5Output: True because the binary representation of 5 is: 101.Input: 7Output: False because the binary representation of 7 is: 111.Input: 11Output: False because the binary representation of 11 is: 1011.Input: 10Output: True because The binary representation of 10 is: 1010.""" # Time Complexity - O(number of bits in n)def has_alternative_bit(n): first_bit = 0 second_bit = 0 while n: first_bit = n & 1 if n >> 1: second_bit = (n >> 1) & 1 if not first_bit ^ second_bit: return False else: return True n = n >> 1 return True # Time Complexity - O(1)def has_alternative_bit_fast(n): mask1 = int('aaaaaaaa', 16) # for bits ending with zero (...1010) mask2 = int('55555555',.
- Write an MPI programs to find the largest among n (n = 1000) integer numbers using P processors. Each processor will generate n/P random integers in the range [0, 9999] and find the largest among them. Then the processors communicate to find the largest among the P largest numbers. Output the final largest number.The latest super-duper supercomputer has memory locations that are 64-bits wide. What is the largest unsigned integer that can be stored in one memory location? Suppose that we use sign-magnitude for storing negative numbers and dedicate one bit for a sign bit. What would be the largest POSITIVE integer that can be stored in a memory location.Question. What is the algorithm to solve the following problem? a. Given two DNA sequences from different individuals, what is the longest shared sequence of nucleotides? b. Given a product ID and a sorted array of all in-stock products, is the product in stock and what is the product's price? c. Given a user's current location and desired location, what is the fastest route to walk to the destination.
- Algorithm: sum = 0 A = list(range(0,1000000)) B = [random.randint(0,1000000-1) for j in A] indx = B[0] for i in range(0,1000000): sum += A[indx] indx = B[indx] print(sum) How many arithmetic instructions are required by this algorithm? How many memory accesses are required by this algorithm? How many clocks are required by this algorithm?Question 6 sm.Is 2^(n+1) = O(2^n )? Is 2^(2n) = O(2^n ) ? Suppose that on a particular computer, an Algorithm A, with inputs of size n, runs in 10n^2 steps, and another Algorithm B runs in 60n lg n steps [Note: lg x = log2(x)]. For what values of positive integers n is Algorithm A better than Algorithm B? Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this linen alternative to hexadecimal notation for representing bit patterns is dotted decimal notation in which each byte in the pattern is represented by its base ten equivalent. In turn, these byte representations are separated by periods. For example, 12.5 represents the pattern 0000110000000101 (the byte 00001100 is represented by 12, and 00000101 is represented by 5), and the pattern 100010000001000000000111 is represented by 136.16.7. Represent each of the following bit patterns in dotted decimal notation. 0000111100001111 001100110000000010000000 0000101010100000
- Given that a computer uses 4-bit ones’s complement numbers, what value will be stored in the variable j after the following code segment terminates? j = 1 k = -2 while(k != 0) { j = j + 1; k = k + 1; }The following equations summarize the Euclidean algorithm with 55 and 40 as inputs. Use this information to express the gcd of 55 and 40 in the form 55a + 40b where a and b are integers. Show your work. 55 = 1·40+15, 40 = 2·15+10, 15 = 1·10+5, 10 = 2·5+0.the input consists of two integers x and y represented as strings of digits. The output is the sum z, also represented as a string of digits. The input can be viewed as a stream if the algorithm is first given the lowest digits of x and of y, then the second lowest, and so on. The algorithm outputs the characters of z as it proceeds. The only memory required is a single bit to store the carry bit. Because of these features, the algorithm can be modeled as a DFA.Write algorithm for Adding( ) pre-cond: The digits of two integers x and y are read in backwards in parallel. post-cond: The digits of their sum will be outputted backwards.