TP2.1 - Pseudorandom Generators

TP2.1 - Pseudorandom Generators

Study of pseudo-random numbers generators, then performing generation quality tests on them

Pseudorandom Generators Programmed

Middle Squared Method

Multiplicative Linear Congruential Generator (LCG)

Mixed Linear Congruential Generator (LCG)

Python's own Generator (Mersenne-Twister)

Tests Programmed

Goodness of Fit (Pearson - Chi Squared Approach)

Parity Test

Kolmogorov-Smirnov Test

Gaps Test

Example

Pseudorandom Numbers: 380

Console: Start output

Separated Scatterplots

Simultaneous Scatterplots (Without MSM)

Separated Histograms

Simultaneous Histograms (Without MSM)

Tests Results' summaring table

Console: Pseudorandom arrays

Console: More detail of Tests

Console: Final output