Monte Carlo method

Abstract The behavior of binary alloys was investigated by the Metropolis Monte Carlo Simulations in Matlab. Temperatures, alloy concentrations and interaction parameters are variables being varied in this simulation. Increases in temperature led to an increase in entropy as well as a decrease in relative correlation of orders. The entropy and enthalpy of mixing both were affected by the alloy concentration, with a maximum of 50%. Lastly, the interaction parameter defined the type of bonds that were

to1Gartner (2013) „Business analyticsis comprised of solutions used to build analysis models and simulations to create scenarios, understand realities and predict future states.” So in summary we are using many types of analytical and statistical methods to transform the raw data into a shape where we can get information from it, and get a conclusion. Based onthese informationand conclusions we will be able to make business decisions, which might affect the future success. Regarding the Business Analytics

Furthermore, triangular distribution on devex is employed to model the simulation. Figure 4.24 Field A Post-tax NPV - Monte Carlo Simulation on Devex per barrel Based on figure 4.24, there is 48.58% probability that the post-tax NPV forecast values in field A are greater than the mean forecast scenario of 1,118 million. In addition, there is 100% certainties that the forecast

the waiting list and the service facility (Render et al, 2015). A simulation modeling process is based mainly on feeding the quantitative data into a model to produce quantitative results in a structured sequential process (Eldabi, 2002). This method assists managers by allowing them the opportunity to create a simulation model to see the various advantages and disadvantages of any changes they would like to integrate into their

vacation, I found that the Travelling Salesman Problem were so similar to problems we met at Tibet. Got inspired by the algorithms, I designed a project named Application of OR Methods to Education Volunteering. This project used Ant Colony Optimization to optimize home visiting routes covering 8 villages, Hungarian method to appoint 14 teachers to different courses, and Program Evaluation and Review Technique to

install the new part. g) The cost of salary and benefits for a maintenance person is $20 per hour. IV. Alternative approaches to solving the problem: Based on the given case and the problems cited, the best approach to use is the Monte Carlo

Below we outline this straightforward and well-known implementation methodology yet we further enhance it to join real-world simulation specifics with the evident benefits of risk-neutral American Monte Carlo pricing. Under real-world measure there is a problem of defining an appropriate form of the market price of risk, or the drift terms in the equation above. In practice, one uses historical data for all coupled risk factors as a source to make model

results of the above-mentioned options pricing techniques for one sample, consisting of 20 American put options, referred to as small sample. Moreover, the comparison of the number of polynomial families, as well as the contrast between regression methods are conducted. \section{Small sample results} The analysis starts with the valuation of 20 American put options with the same set of parameters usually considered in the literature, implemented by Longstaff and Schwartz as well. The following Table

2.1 The k-Prototypes Method Data clustering is a method used to group items into different clusters. The items in same cluster are similar and the items in different clusters are dissimilar. Huang (1998) introduced a k-prototypes algorithm that allows for clustering objects with mixed numeric and categorical attributes. The k-prototype algorithm can be used to cluster a large portfolio of the VA contracts with mixed numeric and categorical attributes. We define a large portfolio that contains n

Most of the previous types of simulations and simulators referenced evaluating methods and effective practices. In the distant past technological advancement in the form of medical training mannequins or board games were the bulk of technology based simulators. With the growth of the computer industry, we are naturally increasing our use of computerized technology. Simulation is absolutely no exception to this. Computer simulations have become one of the greatest and most common ways of creating