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 -