What is the Modulus in Linear Congruential Generators?

In summary, the conversation discusses the concept of modulo m and how to calculate it in the context of a linear congruential generator equation. The use of a "mod" function in computer programming languages is mentioned, as well as the method of using integer arithmetic and division to generate random numbers. The origins of this method are also briefly mentioned.
  • #1
elgitano77
1
0
I am trying to understand LCG and although the equation looks really straightforward I don't know how to calculate the module of the expression.

Xn+1= a*Xn+c (mod m)

As stated before, my problem is understanding the concept of mod m and how to calculate it.

Any help and example would be appreciated.
 
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  • #2
a*Xn+c Modulo m gives the remainder of a*Xn+c when divided by m.
See http://en.wikipedia.org/wiki/Modulo_operation

Most computer programming languages have a "mod" function. In machine language the integer divide will provide the quotient in one register, and the remainder in another - this makes this very fast. This is a very old pseudo-random number generator which was already in use in the 1950's - I used to have an IBM publication copyright 1953 or so which provided all of the details.

http://en.wikipedia.org/wiki/Linear_congruential_generator
 
  • #3
Typical random number generators will use integer arithmetic, where m is 2k, where k = 1+largest single precision integer. a*Xn+c will produce an integer covering a double precision register. Keep the lower half.

The above method then is followed by division (after floating) by the float of k.
 

FAQ: What is the Modulus in Linear Congruential Generators?

What is a Linear Congruential Generator (LCG)?

A Linear Congruential Generator is a type of pseudorandom number generator that produces a sequence of numbers based on a linear equation. It is commonly used in computer programs to generate random numbers.

How does a Linear Congruential Generator work?

An LCG uses a recursive formula to generate a sequence of numbers. The formula involves multiplying the previous number by a constant, adding another constant, and then taking the result modulo a third constant. This process is repeated to produce a sequence of numbers that appear to be random, but are actually deterministic.

What are the advantages of using a Linear Congruential Generator?

LCGs are relatively simple to implement and require minimal memory and processing power. They also produce a long period of numbers before repeating, making them useful for generating a large amount of pseudorandom numbers.

What are the limitations of a Linear Congruential Generator?

One limitation of LCGs is that the generated sequence of numbers can exhibit certain patterns or biases, making it less truly random. This can be problematic for certain applications that require a high level of randomness. Additionally, LCGs are not suitable for cryptographic purposes as they are easily predictable.

How can the quality of a Linear Congruential Generator be improved?

To improve the quality of an LCG, it is important to carefully select the constants used in the formula. The values chosen for the multiplier, increment, and modulus can greatly affect the randomness of the generated sequence. Additionally, using multiple LCGs in combination, also known as a multiple recursive generator, can improve the quality of the numbers generated.

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