simulation


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Simulation

The use of a mathematical model to imitate a situation many times in order to estimate the likelihood of various possible outcomes. See: Monte Carlo simulation.

Simulation

The use of a mathematical model with different values as variables in order to determine the likelihood of a particular outcome. A simulation is run many times (often thousands) in order to find the most likely outcome. Running simulations is important for analysts who, for example, wish to predict a security's future price movements.

simulation

A mathematical exercise in which a model of a system is established, then the model's variables are altered to determine the effects on other variables. For example, a financial analyst might construct a model for predicting a stock's market price and then manipulate various determinants of the price including earnings, interest rates, and the inflation rate to determine how each of these changes affects the market price.

simulation

a technique for dealing with complex resource allocation problems which cannot be solved exactly by LINEAR PROGRAMMING or similar analytical methods. The technique involves creating a typical life history of a system to represent the actual problem and its rules of operation. Repeated runs of the simulation, slightly altering the operating rules each time, provides experimentation aimed at discovering methods of improving the performance of the system. Such simulation techniques are frequently employed in examining STOCKHOLDING and QUEUE problems. For example, in simulating a queue problem, such as cars queuing at a petrol-station forecourt, it is possible to note how well existing service facilities are coping with customers and the extent to which existing service capacity is utilized. It is also possible to investigate the effects of such changes as increasing the number of service channels or changing the arrangement of channels to discover ways of improving the performance of the garage.
References in periodicals archive ?
Fault simulation of a homogeneous sequence of the first one hundred test patterns detected 7766 more faults compared to the individual test pattern fault simulation.
This paper tries to answer the question why the epistemic value of so many social simulations is questionable.
One of the main strengths of this book are the numerous examples of well-designed learning environments using simulation. However, authentic tasks for simulation are required that enable the learners to explore the environment in dynamic interaction with the context as if they were really present.
This allows students to build comprehensive skills in focused assessment, nursing intervention, direction and delegation, and teamwork in clinical laboratory sessions and in immersive simulations. In semester one, students experience an immersive simulation using the ALS mannequin.
Powered by Autodesk Simulation Moldflow injection molding simulation technology, Autodesk Simulation DFM provides real-time feedback through specific and familiar design indicators, all while the design is still taking shape, Kross added.
The objective of this work is to define a UML profile for the simulation field intended to support the MDA practices in this field.
Students who experience death during a simulation are more likely to have increased stress levels (Park et al., 2018).
"It's common today that maybe only a couple of people have access to simulation tools," said Barry Christenson, global field marketing director at Ansys.
The general idea to develop the collaborative running interface of Simulink/Fluent, based on the first approach, is as follows [4, 5]: develop interface program based on Simulink/ S-Function; start Fluent with command including Journal parameter; store the update values of the S-Function input ports into a text file; access the text file by Fluent/UDF and using these values to deal with nonfixed boundary conditions; at last, Fluent will store the simulation results of the calculation regional boundary into another text file and S-Function will access this text file to propagate its values to Simulink via output ports.
This is a one-day evidence-based overview of debriefing methods for health care simulation. Learners will work in small groups and experience several short activities during the didactic portion of the course.
While self-confidence is probably the most commonly described phenomenon in the literature related to simulation, improved reflection, through discussion and debriefing sessions, allows students the opportunity to critically review the simulation experience.
Synopsis: The collaborative work of Hemda Ben-Yehuda (Department of Political Studies at Bar-Ilan University, Ramat-Gan); Luba Levin-Banchik (Department of Political Studies at Bar-Ilan University, Ramat-Gan); and Chanan Naveh (School of Communication at Sapir College), "World Politics Simulations in a Global Information Age" is a comprehensive guide explaining how to create simulations of international relations for the purposes of both teaching and research.

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