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The system is deterministic: if you know the position of every ball and the speed and angle of the cue at every strike, the outcome can be foreseen.
The standard way of formulating optimization problems applied to aircraft design is based on the assumption that the underlying system is deterministic, i.e., that the knowledge associated with the design variables and with the system dynamic is not characterized by uncertainty.
A universally accepted definition of chaos is still outstanding, however, a number of key features are held in common: A chaotic system is deterministic, nonlinear, and highly sensitive to the initial conditions.
When no noise is present, the system is deterministic and no disease occurs as long as the base expression level is 50% or higher.
The points in Fig. 5c all lie on a line of very small thickness, illustrating that the system is deterministic and neither artifacts nor noise is responsible for the observed irregularity in the interspike interval pattern.
A dynamical system is deterministic if its trajectory is uniquely determined by the initial state and a given parameter set, while a stochastic dynamical model can go to different states with different probabilities even at a given initial state.
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Both linear and nonlinear systems are treated, with the nominal system being deterministic, stochastic or piecewise deterministic.
If, however, the system were deterministic, the disaggregated procedure would allow designing the policy in just seven hours.
This is due to all the parameters in the deterministic system being deterministic, which has some limitations in mathematical modeling and is quite difficult to fit data perfectly [19].
This chapter begins to describe the tools to overcome these difficulties by analyzing the Design Problem in the simplest of cases: the case in which the actions being considered are all planning actions (Pure Planning Problem), and the only disturbances acting on the system are deterministic.
The base of convergence analysis of existing results devoted to attitude consensus control of multispacecraft systems is deterministic knowledge on networks communication links.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com