MONTE CARLO SIMULATION ASSIGNMENT HELP
Monte Carlo simulation refers to the technique of simulation where the values are estimated on the basis of random sampling and algorithms. The Monte Carlo simulation is used for probability distribution, optimization and numerical integration. It helps in determining the effect of a certain action or tasks by continuous repetition of the task.
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- Biology Monte Carlo method
- Kinetic Monte Carlo
- Quasi-Monte Carlo method
- Quantum Monte Carlo
- Genetic algorithms
- Direct simulation Monte Carlo
- Computer simulations
- Mean field particle methods
- Dynamic Monte Carlo method
- Simulation-Optimization
- Stochastic modeling
- Probability distribution
- Asymptotic distributions
- Monte Carlo methods for electron transport
- Middle-square method
- Temporal difference learning
- Auxiliary field Monte Carlo
IMPORTANT STEPS USED FOR PERFORMING MONTE CARLO SIMULATION
As per our statistics experts, the following points should be kept in mind while performing Monte Carlo simulation:
- Creation of correct probability distribution should be done for the variables that are needed to be simulated.
- The cumulative probability distribution must have to be constructed for that same variable.
- Generation of arbitrary variables should be done using cumulative probability distribution and then a unique set of arbitrary or random numbers are to be arranged in sequence in order to get the values of variables.
- Simulation has to be done with the help of random sampling method.
- Designing a specific strategy to gain control.
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