Monte Carlo simulation disadvantages

The detectable signal in the time intervals between the moments of exchanges can be determined by solving the time-dependent Schrodinger equation for the specific conformer however, in this case, the Hamiltonian is independent of time.18 The advantage of this method is its smaller memory requirement its disadvantage is the longer computational time because of the Monte Carlo simulation and that it was not possible to apply it to coupled spin systems so far. 

The disadvantages of the Monte Carlo simulation method are the folowing ... 

Compared to the other two approaches, deterministic optimization based on point estimates is by far the easiest approach. In this case the optimization is done once and for all before the Monte Carlo simulations. The disadvantage, however, is that this approach does not guarantee a globally optimal solution. 

For conducting a kinetic Monte Carlo simulation, the most straightforward choice for a network of sorption states and rate constants is that of the original molecular structure. Its key advantage is its one-to-one correspondence with the detailed polymer configuration. However, the small size of a typical simulation box is a disadvantage. For example, in [97] it was observed that anomalous diffusion continued until the root-mean-squared displacement equaled the box size. From this match in length scales, it is not... 

Sensitivity analyses are very simple. As long as a model is est Ushed, the calculations or simulations are just repeated over again for different parameter values. As new results are produced, one can observe the effect of the change in the parameter value. Whenever Monte Carlo simulation is used as the calculation method, a possible disadvantage with sensitivity analysis is the additional simulation time. Depending on the duration of the initial base case simulation, the extra time required for sensitivity analyses may be an issue, because one parameter change requires one additional full simulation. 

Nowadays Monte Carlo Simulations (MCS) are widely performed in nuclear medicine. They are particularly useful when experimental measurements are impossible [2], Simulations have shown that the use of small pixel size can lead to a substantial increase of spatial Resolution. However, the use of smaller pixel size brings disadvantages, such as the... 

The major advantage of Monte Carlo simulation is that it can deal with almost any type of nonlinearity, maybe using the same commercially available packages that are used for the deterministic analyses. Its only disadvantage is that it is time-consuming, as many analyses are requested in order to have reliable estimates of the statistical properties of the response. 

Since the middle of the 1990s, another computation method, direct simulation Monte Carlo (DSMC), has been employed in analysis of ultra-thin film gas lubrication problems [13-15]. DSMC is a particle-based simulation scheme suitable to treat rarefied gas flow problems. It was introduced by Bird [16] in the 1970s. It has been proven that a DSMC solution is an equivalent solution of the Boltzmann equation, and the method has been effectively used to solve gas flow problems in aerospace engineering. However, a disadvantageous feature of DSMC is heavy time consumption in computing, compared with the approach by solving the slip-flow or F-K models. This limits its application to two- or three-dimensional gas flow problems in microscale. In the... 

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