Offer one example of an IT or computer application that can be modeled as the TSP problem.
Consider the problem of scheduling a bunch of jobs on a single
machine. Each job has a processing time, which is independent of
the order in which the jobs are done. Now suppose that the machine
requires a setup before each job, and the setup time depends on the
preceding job. For example, if the machine is a paint sprayer, you
may or may not need to change colors, which requires flushing the
sprayer. Changing from a dark color to a lighter color may require
a more thorough flush than changing from a light color to a darker
color. So doing a yellow job after a yellow job incurs zero setup
time, doing a yellow job after a white job requires a short setup,
and doing a yellow job after a black job requires a long
setup.
The problem of sequencing the jobs to minimize the total makespan
(the time to complete all jobs), or equivalently to minimize the
cost of the changeovers (flushing the paint sprayer consumes water
or some other fluid, wastes some residual paint, ...), can be
viewed as a TSP. In general, any problem of sequencing (permuting)
a bunch of objects where the only variable costs occur during
transitions and where there are no side constraints can be modeled
as a TSP. Just treat each object as a node, and add a dummy node
that represents both the start and end of the sequence.
Offer one example of an IT or computer application that can be modeled as the TSP...
For a school's computer network, the event of a network failure can be modeled as a Poisson process at a rate of .1 failures/day. Find the probability that the next network failure will occur within 5 days.
Problem 21: User log-ons to a college's computer network can be modeled as a Poisson process with a rate of 10 per minute. If the system's administrator begins tracking the number of log-ons at 10:00 a.m find the probability that the first log-on recorded occurs between 10 and 20 seconds after that
The time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with A= VUUS. Round your answers to 4 decimal places. (a) What proportion of fans will last at least 8000 hours? (b) What proportion of fans will last at most 7000 hours?
ette 8. Messages that arrive at a computer in a period of one hour are modeled by the Poisson PMF px(x) x = 0,1,2,3,.... We are given that the parameter 1 = 15. (a) Determine the probability that exactly 3 messages arrive in one hour. (b) Determine the probability that no more than 9 messages arrive in one hour.
Give an example of an application of a graph in computer science. Indicate whether the graph is directed or undirected. What significance, if any, does the presence of cycles have in this graph? Also indicate what significance, if any, there is to whether the graph is connected.
1. (a)Give an example from real-world of a situation that can be modeled by an exponential decay function. Please include numerical details . b) Write the equation of the function from your example (a).
(a) The Assignment Problem can be modeled as a Transportation Problem: yes no it depends Explanation: (b) The Transportation Problem can be modeled as a Generalized Network Flow Problem: yes no it depends Explanation: (c) The Generalized Network Flow Problem with multiple source and sink nodes can be converted to a Generalized Network Flow Problem with only one source and one sink node: yes no it depends Explanation: (d) Negative arc weights in the Shortest Path Problem can never occur...
10. The demand for a new computer game can be modeled by pa) 44 -9In(z) where pla) is the price consumers will pay, in dollars, and r is the number of games sold, in thousands. Find the following 1. Find the total revenue R(r) 2. Find the marginal revenue R(x): 3. At what price will the total revenue be maximized?
10. The demand for a new computer game can be modeled by pa) 44 -9In(z) where pla) is the price...
Briefly describe one computer system application where Queues will be the preferred data structure.
PLEASE SHOW ALL WORK
Example: Computer Usage In a large corporate computer network, time to user log-ons to the system can be modeled as exponential distribution with a mean of 0.04 hours. What is the probability that there are no log-ons in the next 6 minutes (0.1 hours)? Let X denote the time in hours from the start of the interval until the first log-on ix) 0.1 what is the interval of time such that the probability that no log-on...