Имитационное моделирование Имитацио

Имитационное моделирование
Имитационное моделирование (ситуационное моделирование) — метод, позволяющий строить модели, описывающие процессы так, как они проходили бы в действительности. Такую модель можно «проиграть» во времени как для одного испытания, так и заданного их множества. При этом результаты будут определяться случайным характером процессов. По этим данным можно получить достаточно устойчивую статистику.
Имитационное моделирование — это метод исследования, при котором изучаемая система заменяется моделью, с достаточной точностью описывающей реальную систему, с которой проводятся эксперименты с целью получения информации об этой системе. Экспериментирование с моделью называют имитацией (имитация — это постижение сути явления, не прибегая к экспериментам на реальном объекте).
Имитационное моделирование — это частный случай математического моделирования. Существует класс объектов, для которых по различным причинам не разработаны аналитические модели, либо не разработаны методы решения полученной модели. В этом случае аналитическая модель заменяется имитатором или имитационной моделью.
Имитационным моделированием иногда называют получение частных численных решений сформулированной задачи на основе аналитических решений или с помощью численных методов.
Имитационная модель — логико-математическое описание объекта, которое может быть использовано для экспериментирования на компьютере в целях проектирования, анализа и оценки функционирования объекта.
К имитационному моделированию прибегают, когда:
• дорого или невозможно экспериментировать на реальном объекте;
• невозможно построить аналитическую модель: в системе есть время, причинные связи, последствие, нелинейности, стохастические (случайные) переменные;
• необходимо сымитировать поведение системы во времени.
Цель имитационного моделирования состоит в воспроизведении поведения исследуемой системы на основе результатов анализа наиболее существенных взаимосвязей между её элементами или другими словами — разработке симулятора исследуемой предметной области для проведения различных экспериментов.

Results (English) 1:

Simulation modeling Simulations (simulations) is a method that enables you to build models that describe the processes as they would be in reality. Such a model, you can "play" in time for a test, and given them a set. The results will be determined by the random nature of the processes. From this information you can get enough consistent statistics. Simulation modeling is a method of investigation in which the studied system is replaced by a model that accurately represents the real system, which conducted experiments in order to obtain information about this system. Experimentation with the model called the simulation (simulation is the comprehension of the essence of the phenomenon without resorting to experiments on a real object). Simulation is a special case of mathematical modeling. There is a class of objects, for which for various reasons are not developed analytical models or not developed methods for solving model. In this case, an analytical model is replaced by a Simulator or simulation model. Simulation is sometimes referred to as a private of the numerical solutions formulated tasks based on analytical solutions or by using numerical methods. A simulation model is logical-mathematical description of the object that can be used to experiment on the computer for design, analysis and evaluation of the performance of the object. The simulation when:• expensive or impossible to experiment on a real object;• It is impossible to build the analytical model of the system: there is a time, causal connections, consequence, nonlinearity, stochastic (random) variable;• There is a need to simulate the behavior of a system over time. The purpose of simulation is playing behavior of investigated systems on the basis of the results of the analysis of the most significant relationships between its elements, or in other words, the development of the simulator of the subject area to conduct various experiments.

Results (English) 2:

Simulation
Simulation (situational modeling) - method to build models describing the processes as they would take place in reality. Such a model can "play" in time for a test, and given them a set. At the same time the results will be determined by the random nature of the processes. These data can be sufficiently robust statistics.
Simulation - a method of research, where the studied system is replaced by a model with sufficient accuracy to describe the real system with which the experiments were conducted to obtain information about this system. Experimentation with the model called imitation (imitation - a comprehension of the essence of the phenomenon, without resorting to experiments on the real object).
Simulation - is a special case of mathematical modeling. There is a class of objects, which for various reasons have not been developed analytical model, or not developed methods for solving the resulting model. In this case, the analytical model is replaced by the simulator or simulation models.
Simulation modeling is sometimes called obtaining numerical solutions to partial problems formulated on the basis of analytical solutions or by using numerical methods.
The simulation model - the logical-mathematical description of an object, which can be used to experiment on your computer in order to design, analysis and evaluation of the functioning of the object.
For simulation resort when:
• expensive or impossible to experiment on the real object;
• it is impossible to construct an analytical model: the system has time, causality, the effects of non-linearity, stochastic (random) variables;
• necessary simulate the behavior of the system over time.
The purpose of the simulation is to reproduce the behavior of the system under investigation on the basis of the analysis of the most significant linkages between its elements, or in other words - the development of a simulator study subject area for a variety of experiments.

Results (English) 3:

Simulation
simulation (simulations) method, which allows to build models that describe processes as well as they would take place in reality.Such a model can be "lose" in time as well as for one test, so many of them and the setpoint. The results will be determined by the nature of the random processes.Based on these data it is possible to obtain sufficient stable statistics.
simulation is a method study, in which hexagonal system is replaced by a model,With sufficient accuracy describing a real system, with which experiments have been made with a view to obtaining information on the system.Experiment with the model is referred to as simulation (simulation is gaining insight into phenomena, without resorting to the experiments on the real object) .
Simulation - this is a private case mathematical modeling. There is a class objects, for which, for a variety of reasons have not developed analytical models,Techniques have been developed or are not received by the model. In this case, the analytical model is replaced by a simulator or simulation model.
Simulation modeling is sometimes referred to as a private numerical solutions formulated tasks on the basis of analytical decision-making or using the numerical methods.
CBA - researcher, mathematical description of the site, which can be used for experimentation on the computer in order to design, analysis, and evaluation of the operation of the facility.
The minimising modeling resort, when:
- expensive or impossible to experiment on the real object;
- it is not possible to construct an analytical model: in the system there is a time, causal connection, consequence,Non-linearity, stochastic (random) variables;
- you must simulate the behavior of the system in time.
The simulation consists in playing behavior of the imaged system on the basis of the results of analysis of the most significant relationships between its elements or, in other words - theThe imaged subject area for the various experiments.