CH1 Flashcards
(19 cards)
What is simulations?
simulation is the procedure of solving equations that resulted from a model
What is modeling?
modeling is the developing a mathematical representation off physical systems
what is modeling and simulations (MS)
MS is the use of physical and logical systems representation to generate data to make predictions about a system
what is simulations?
simulation is the excution of a model represents by a computer program that gives information about the system being inverstigated
what is a system?
a system is any set of related components that work together to some purpose
ex of a system:
table- waiting line at the atm- airport - worldwide disturbution
why do we create system models?
to better understand how it works and predict its behavior
what are the four types of models?
1)physical model: interacts with the physical environment and can provide a sense of reality like a real model of an airplane or a car
2)visual models: like graph representations of objects and systems
3)mathematical model: describes a system by a set of variables and eq that makes a relationship between variables
4)computer models: a representation of a system or a process created on a computer
physical visual mathematical and computer models
types of models:
deterministic vs stochastic
dynamic vs static
continue vs discerete
what is the difference between deterministic and stochastic models?
deterministic means not random and no uncertainty making it predictable(results are always the same)
ex: scheduling and emulation application
stochastic means random and uncertain which is the most common types of models(mostly involves humans since they are unpredictable) has external input and exceptions can occur a lot
what is the difference between static and dynamic models:
dynamic: means changes by time and time is significant
static: means does not change at a particular point in time and time is insignificant
ex: static-> coin toss game
dynamic-> simulation of a band from 9-4
what is the differnece between continous and discerete system models:
continuous: can take an uncertain range of values (temp- time)
discerte: can only take a certain number of values (shoe sizes- number of pages- number of people)
continuous and discerte applications:
C: science branches and eng
D: automations and logistics and transportation
what is discerte event simulation models?
they are models that replicate rela world systems that can be decomposed into a dicerte set of events that separate each process
events trigger one another and states changes only at discerte points in time called events
ex of areas of simulation:
airport
hospital
military
computer games
education and training like using flight simulators
what are the fields that make up simulations?
application
mathematical
and computer science
when do we use simulations?
study complex systems
optimize an existing design
system is dangour to use like training a pilot
verifying analytical solutions
impossible to observe like deep sea and space
what are advantages of simulations?
does not intterrupt running systems
does not consume resources
manipulate parameters with ease
ask what if questions with ease
test hypothese
what are difficulites of siulations:
provide indiidual solution not a general one like airports each airport is different so we need to create a simulation for each one
computing memory
time consuming
experts are required
expensive
hard to interpret results
