Question

In: Physics

Can anyone walk me through this please!!-- Build a Monte Carlo simulation model to solve a...

Can anyone walk me through this please!!-- Build a Monte Carlo simulation model to solve a project problem.


He does not provide that information, it just says a probabilistic model.

Solutions

Expert Solution

Monte Carlo method refers to a generic process for a wide range of stochastic techniques. Monte Carlo processes are based on the use of random numbers and probability statistics to solve problems in diverse fields such as Chemical and Biological sciences, Material Science, nuclear physics and high energy particle physics, economics, road traffic etc. In general a "Monte Carlo" method requires you to do is use random numbers to examine your problem.

A simple application of Monte Carlo method is to find out the value of .

Draw a square and then inscribe a circle within it. Generate a large number of random points within the square and count how many fall in the enclosed circle.

The area of the circle is πr2 and the area of the square is (2r)2 = 4r2. Divide the area of the circle by the area of the square to get π/4. The same ratio can be used between the number of points within the square and the number of points within the circle.

So, we get π ≈ 4 x (number of points in the circle / total number of points)

The greater the number of points used the better the value of π that can be generated.


Related Solutions

Please provide an example of a Monte Carlo simulation model (and explain). Your simulation example should...
Please provide an example of a Monte Carlo simulation model (and explain). Your simulation example should be able to: Tackle a wide variety of problems using simulation Understand the seven steps of conducting a simulation Explain the advantages and disadvantages of simulation Develop random number intervals and use them to generate outcomes Understand alternative computer simulation packages available Explain the different type of simulations Explain the basic concept of simulation
Describe the steps needed to perform the Monte Carlo Simulation.
Describe the steps needed to perform the Monte Carlo Simulation.
Provide a professional application of one multivariate simulation model (avoid a Monte Carlo analysis. In addition,...
Provide a professional application of one multivariate simulation model (avoid a Monte Carlo analysis. In addition, please provide a one paragraph description to the application and a one paragraph conclusion to the application.
A Monte Carlo simulation is a method for finding a value that is difficult to compute...
A Monte Carlo simulation is a method for finding a value that is difficult to compute by performing many random experiments. For example, suppose we wanted to estimate π to within a certain accuracy. We could do so by randomly (and independently) sampling n points from the unit square and counting how many of them are inside the unit circle (assuming that the probability of selecting a point in a given region is proportional to the area of the region)....
This problem is also a Monte Carlo simulation, but this time in the continuous domain: must...
This problem is also a Monte Carlo simulation, but this time in the continuous domain: must use the following fact: a circle inscribed in a unit square has as radius of 0.5 and an area of ?∗(0.52)=?4.π∗(0.52)=π4. Therefore, if you generate num_trials random points in the unit square, and count how many land inside the circle, you can calculate an approximation of ? For this problem, you must create code in python (A) Draw the diagram of the unit square...
preform a Monte Carlo simulation in R to generate the probability distribution of the sum of...
preform a Monte Carlo simulation in R to generate the probability distribution of the sum of two die (for example 1st die is 2 and second die is 3 the random variable is 2+3=5). The R-script should print out (display in R-studio) or have saved files for the following well labeled results: 1. Histrogram or barchart of probability distribution 2. Mean of probability distribution 3. Standard deviation of probability distribution
This problem is also a Monte Carlo simulation, but this time in the continuous domain: must...
This problem is also a Monte Carlo simulation, but this time in the continuous domain: must use the following fact: a circle inscribed in a unit square has as radius of 0.5 and an area of ?∗(0.52)=?4.π∗(0.52)=π4. Therefore, if you generate num_trials random points in the unit square, and count how many land inside the circle, you can calculate an approximation of ? For this problem, you must create code in python (B) Without drawing the diagram, calculate the value...
Please very important to explain all the transactions answers Chapter 12 Monte Carlo Simulation and Risk...
Please very important to explain all the transactions answers Chapter 12 Monte Carlo Simulation and Risk Analysis 3. A professional football team is preparing its budget for the next year. One component of the budget is the revenue that they can expect from ticket sales. The home venue, Dylan Stadium, has five different seating zones with different prices. Key information is given below. The demands are all assumed to be normally distributed. Seating Zone    Seats available Ticket price   ...
Discuss about Monte Carlo simulation, with a focus on its steps. (100% rating)
Discuss about Monte Carlo simulation, with a focus on its steps. (100% rating)
problem is also a Monte Carlo simulation, but this time in the continuous domain: must use...
problem is also a Monte Carlo simulation, but this time in the continuous domain: must use the following fact: a circle inscribed in a unit square has as radius of 0.5 and an area of ?∗(0.52)=?4.π∗(0.52)=π4. Therefore, if you generate num_trials random points in the unit square, and count how many land inside the circle, you can calculate an approximation of ? For this problem, you must create code in python (A) Draw the diagram of the unit square with...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT