Random numbers, variance reduction & Software
10 important questions on Random numbers, variance reduction & Software
Which methods are explained to derive random numbers from any continuous distribution?
2. Convolution method.
What is the aim of variance reduction?
What are the (dis)advantages of variance reduction?
- But extra programming effort is required
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding
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Why do common random numbers decrease the variance over the differences of two systems?
What is the meaning of synchronization within the use of CRN?
Which methodology is applied with the Antithetic Variates Technique?
What is the idea behind simulation based optimization?
Sequentially decide on the system configuration to simulate (value of the experimental factors) based on the results from earlier simulated configurations.
Which 5 requirements for simulation software are mentioned in the sheets?
1.Modeling capabilities
2.Animation
3.Statistical capabilities
4.Output reporting & plots
5.Support & maintenance
What are the (dis)advantages of graphical software?
Pros
-Better understanding of the decision maker of the decision options, the system to be modelled and the model itself.
-Assists the modeller in understanding the system / problem and in debugging.
-Better communication decision maker Ûmodeller.
-Simpler model validation.
-Provides different and better insights.
Cons
-Danger of putting too many details in the model (model too complicated, which costs too much development and debugging time, without providing a lot of additional insight)
-Danger to put too much emphasis on the outer appearance (animation) rather than on the model structure (example: 3D animation)
What is a disadvantage of the empirical test on random number generators?
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
