Titlebook: Dynamic Modeling; Bruce Hannon,Matthias Ruth Book 19941st edition Springer-Verlag New York, Inc. 1994 Dynamics.computer simulation.model.m

cinder

ted with each simulation run. Real systems are not necessarily that predictable. Rather, some random element may determine the direction of a system’s behavior. This case is illustrated in the model developed in this chapter. Other sources of unpredictability of system behavior are discussed later in the book.

揭穿真相

apter we turn our attention to positive feedback processes. Positive feedback reinforces a given tendency of a system and can lead a system away from equilibrium states, possibly causing quite unexpected results.

雪上輕舟飛過

d condition has been found. For example, we may be modeling a firm that attempts to maximize its profits. We will start the firm off with a low output per time period and calculate the corresponding profit. Then we incrementally increase output over time, thereby increasing revenues from sale of tha

絕種

Book 19941st editionmputers, as well as computer files of sample models used in the book. Dynamic Modeling offers a clear, approachable introduction to the modeling process, and will be of interest in any field where real problems can be illuminated by computer simulation.

背信

s-based computers, as well as computer files of sample models used in the book. Dynamic Modeling offers a clear, approachable introduction to the modeling process, and will be of interest in any field where real problems can be illuminated by computer simulation.978-1-4684-0224-7

Cardioplegia

Derivatives and Lagsd condition has been found. For example, we may be modeling a firm that attempts to maximize its profits. We will start the firm off with a low output per time period and calculate the corresponding profit. Then we incrementally increase output over time, thereby increasing revenues from sale of tha

記憶

Gradual Development of a Dynamic Modela simple system under alternative assumptions, this chapter shows how to expand and refine a model. Additionally, we want to stress the need for treating consistently the units in which parameters and variables are measured.

陶器

Two Independent Variables change in our models. First we introduce several stock variables to indicate various temporal aspects of the state variable of the system. Such a disaggregation can be done, for example, for a population into different age classes. Here we deal only with a more sophisticated representation of essen

合并

Randomnessfined and initial conditions were specified within certain bounds, the dynamics of the system as a whole were predetermined and could be exactly repeated with each simulation run. Real systems are not necessarily that predictable. Rather, some random element may determine the direction of a system’s

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