TY - CHAP

T1 - Pseudo-random numbers and congruential methods

AU - Cevallos-Torres, Lorenzo

AU - Botto-Tobar, Miguel

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The pseudo numbers are the essential basis of the simulation. Usually, all randomness involved in the model is obtained from a random number generator that produces a succession of values that are supposed to be realizations of a sequence of independent random variables and identically distributed uniforms U (0, 1). To be more explicit about the use of pseudo numbers, we will analyze concepts such as mixed or linear congruence method, multiplicative congruence method, additive congruence method.

AB - The pseudo numbers are the essential basis of the simulation. Usually, all randomness involved in the model is obtained from a random number generator that produces a succession of values that are supposed to be realizations of a sequence of independent random variables and identically distributed uniforms U (0, 1). To be more explicit about the use of pseudo numbers, we will analyze concepts such as mixed or linear congruence method, multiplicative congruence method, additive congruence method.

UR - http://www.scopus.com/inward/record.url?scp=85063142318&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-13393-1_3

DO - 10.1007/978-3-030-13393-1_3

M3 - Chapter

AN - SCOPUS:85063142318

SN - 978-3-030-13392-4

T3 - Studies in Computational Intelligence

SP - 33

EP - 58

BT - Problem-based learning: A didactic strategy in the teaching of system simulation

A2 - Cevallos-Torres, Lorenzo

A2 - Botto-Tobar, Miguel

PB - Springer

ER -