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By modelling a finite-state Markov decision process (MDP) problem, we can numerically search an asymptotic periodic schedule which is proven to be optimal.
To model a finite system instead, boundary conditions of the solid walls confining the system must be addressed.
Thus, the a priori distribution of the pixels is modeled by a finite mixture model (FMM) and a Potts Markov model (PMM) for the labels.
Each group can be modeled using a finite mixture model or a DP.
The 1/ f γ curve can be modelled as a finite impulse response (FIR) model such that its inverse will be an infinite impulse response (IIR) model.
The microcontroller is modeled as a finite state machine, as presented in Figure 3. Figure 3 Microcontroller model of PIC16LF88.
Hence, the service process can be modeled as a finite state Markov chain.
The strip footing is modeled as a finite beam of flexural rigidity, (EI).
Hence, the process can be modeled by a finite Markov chain since B s)≤K.
We also assume that the application can be modeled by a finite state machine.
It performs exhaustive verification of a system modeled as a finite state machine (FSM) in an automatic manner.
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CEO of Professional Science Editing for Scientists @ prosciediting.com