1. Generate at least 8 random numbers within the range of 1 to 9999 using Midsquare method.
2. Generate at least 10 random numbers within the range of 1 to 9000 using linear congruent method. Xi = (aXo + C) mod m using a = 91, c = 22 and Xo = 19
1. Generate at least 8 random numbers within the range of 1 to 9999 using Midsquare...
3. Generate random numbers as indicated and comment on the results. (a) generate 10 random numbers using the middle-square method using 20 = 1009. (b) generate 10 random numbers using linear congruence with a = 5, b = 1 and c= 8.
3. Generate random numbers as indicated and comment on the results. (a) generate 10 random numbers using the middle-square method using zo = 1009. (b) generate 10 random numbers using linear congruence with a = 5,b=1 and c= 8.
A) What sequence (At least 8 sequences) of pseudorandom numbers is generated using the linear congruential generator xn+1 (3xn2) mod 13 with seed Xo- 1? B)Find the sequence of pseudorandom numbers generated by the power generator with p-7, d-3, and seed xo 2
Generate 10 random numbers using the following linear congruential generator with 7 as the seed: si+1 = (5 * si + 1) mod 20.
Problem 8 (Pseudorandom Numbers). Randomly chosen numbers are often needed for computer simulations of physical phenomena, and they are needed to generate random keys for cryptography. Different methods have been devised for generating numbers that have certain properties of randomly chosen numbers. Because numbers generated by systematic methods are not truly random, they are called pseudorandom numbers. There are fundamental properties we would like the pseudorandom sequence/pseudorandom number generator to possess for cryptographic purposes. 1. It is easy to compute...
Alice is using a linear congruential generator, axi + b mod 11, to generate pseudo-random numbers. Eve sees three numbers in a row, 3, 5, 0, that are generated from Alice’s function. What are the values of a and b?
For this assignment, write a program that will generate random numbers in the range of 50-100 and count how many fall into particular ranges. Processing: The program should first seed the random number generator. This is done one time in the program. Use srand(0). Next, generate and display a series of 10 random numbers between 50 and 100. There are several ways to ensure that a random number falls between 50 and 100. One possibility is to use the following...
a) b) Consider the linear congruential generator Xi41 = (5X; 1)mod(8). Using Xo 0, calculate the 99th pseudo-random number Ug9 16807 X-1 mod(231 - 1). Using Consider our "desert island" PRN generator, X; Xo 12345678, calculate X99. Consider the linear congruential generator Xi41 = (5X; 1)mod(8). Using Xo 0, calculate the 99th pseudo-random number Ug9 16807 X-1 mod(231 - 1). Using Consider our "desert island" PRN generator, X; Xo 12345678, calculate X99.
11. What sequence of pseudorandom numbers is generated using the linear congruential generator xn +1 (4xn + 1) mod 7 with seed Xo-37 12. Encrypt the message STOP POLLUTION by translating the letters into numbers, applying the encryption function/ P)-(p + 4) mod 26, and then translating the numbers back into letters. 13. Decrypt this message encrypted using the shift cipher f (p) (p+ 10) mod 26 CEBBOXNOBXYG 14. Let P() be the statement that 12 +22 ++n2 -n-)(en+2) for...
Generate 100 Poisson (λ = 2) random numbers using the Inverse transformation method, and then compare with the theoretical mean and variance. please let me know the explanaiton with detail, and r code, If not, at least python