7. Generating sequences of random-like numbers in a specific range. X.1 = aX, + c Mod m where, X, is the sequence of pseudo-random numbers m, (> 0) the modulus a, (0, m) the multiplier c, (0, m) the increment xo, [0, m) – Initial value of sequence known as seed m, a, c, and Xoshould be chosen appropriately to get a period almost equal to m. For a = 1, it will be the additive congruence method. For c = 0, it will be the multiplicative congruence method. Approach: • Choose the seed value Xo, Modulus parameter m, Multiplier term a, and increment term c. • Initialize the required amount of random numbers to generate (say, an integer variable noOfRandomNums). • Define a storage to keep the generated random numbers (here, vector is considered) of size noofRandomNums. • Initialize the Oth index of the vector with the seed value. For rest of the indexes follow the Linear Congruential Method to generate the random numbers. randomNums[i] = ([randomNums[i – 1] * a) + c) % m

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Please answer the number 7. Thank you!
Subject: Discrete Mathematics
Lesson: Big-O Notation

Use C or C++ language. Thank you tutor :)

7. Generating sequences of random-like numbers in a specific range.
Xi+1 = aX, + c Mod m
where,
X, is the sequence of pseudo-random numbers
m, ( > 0) the modulus
a, (0, m) the multiplier
c, (0, m) the increment
X0, [0, m) – Initial value of sequence known as seed
m, a, c, and Xoshould be chosen appropriately to get a period almost equal to m.
For a = 1, it will be the additive congruence method.
For c = 0, it will be the multiplicative congruence method.
Approach:
Choose the seed value Xo, Modulus parameter m, Multiplier term a, and increment term c.
• Initialize the required amount of random numbers to generate (say, an integer
variable noOfRandomNums).
• Define a storage to keep the generated random numbers (here, vector is considered) of
size noofRandomNums.
Initialize the 0th index of the vector with the seed value.
For rest of the indexes follow the Linear Congruential Method to generate the random
numbers.
randomNums[i] = ([randomNums[i - 1] * a) + c) % m
Transcribed Image Text:7. Generating sequences of random-like numbers in a specific range. Xi+1 = aX, + c Mod m where, X, is the sequence of pseudo-random numbers m, ( > 0) the modulus a, (0, m) the multiplier c, (0, m) the increment X0, [0, m) – Initial value of sequence known as seed m, a, c, and Xoshould be chosen appropriately to get a period almost equal to m. For a = 1, it will be the additive congruence method. For c = 0, it will be the multiplicative congruence method. Approach: Choose the seed value Xo, Modulus parameter m, Multiplier term a, and increment term c. • Initialize the required amount of random numbers to generate (say, an integer variable noOfRandomNums). • Define a storage to keep the generated random numbers (here, vector is considered) of size noofRandomNums. Initialize the 0th index of the vector with the seed value. For rest of the indexes follow the Linear Congruential Method to generate the random numbers. randomNums[i] = ([randomNums[i - 1] * a) + c) % m
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