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Unlike the mathematical models the output of the model represents a long-run steady-state behavior, the results obtained from running a simulation model are observations that are subject to experimental error. A simulation experiment differs from a regular laboratory experiment in that it can be conducted totally on the computer systems. By expressing the interactions among the components of the system as mathematical relations ships, we are able to gather the necessary information in very much the same way as if we were observing the real system (subject, of course to the simplifications built into model). Bu dört monte carlo casino owner kardan mili değişik montaj aşamalarından geçmektedir. Although simulation is a flexible technique, both time consuming and costly, particularly when one is trying to optimize the simulated system. Simulation has. been used to analyze problems of two distinct types; 1. Theoretical problems in basic science areas such as mathematics, physics, an chemistry 2. Practical problems in all aspects of real life V] The technique used to solve the theoretical problems cited may be considered a forerunner of simulation in its present-day usage. It's called the Monte Carlo method and is based on the general idea of using sampling to estimate a desired result. Simulation like the Monte Carlo method and is based on estimating the output of a system through sampling. In this respect, many ideas, that were developed in conjunction with Monte Carlo are being used directly in the application of simulation. The present success of simulation in modeling very complex systems rests squarely on the impressive advances in the capabilities and power of the digital computer.