Page 82 - DCAP601_SIMULATION_AND_MODELING

Simulation and Modelling

Notes 10. A growing number of government-run lotteries, and lottery games, are using ……………
instead of more traditional drawing methods.
11. A common technique is to run a ……………….. against a frame of a video stream from an
unpredictable source.
12. …………………… Technologies uses a camera pointed at the sky on a windy and cloudy
day.
13. One of the most common ……………….. is the linear congruential generator.
14. Most computer programming languages include functions or ………………. routines that
purport to be random number generators.
15. A physical random number generator can be based on an essentially random atomic or
subatomic physical phenomenon whose unpredictability can be traced to the laws
of………………...

5.7 Review Questions

1. Do you think the use of pseudorandom numbers as opposed to true random numbers is a
benefit?
2. Explain the main loop of a discrete-event simulation.
3. “A sequence of pseudo random numbers can be generated by a computer algorithm, such
as the Linear Congruential Method.” Comment
4. “A random number generator (often abbreviated as RNG) is a computational or physical
device.” Discuss.

5. What are the earliest methods for generating random numbers?
6. Explain why the Thermal noise in Zener diodes appear to be truly random?
7. Discus imaginative sources of random numbers online.
8. Analyze completely randomized design falls within the category of true random number
generation. If yes then why?
9. “Pseudo-random Number Generators (PRNGs) are algorithms that can automatically create
long runs.” Elaborate
10. Give the practical applications and uses of random numbers.

Answers: Self Assessment

1. scripting 2. Stochastic Systems
3. Deterministic 4. Monte Carlo

5. system model 6. steady-state
7. statistics 8. calculations
9. RANDU 10. RNGs
11. hash function 12. Lithium
13. PRNG 14. library

15. quantum mechanics

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