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Such a mathematical process is called inverse modeling described by an ill-conditioned system of linear equations.
The mathematical process is illustrated in Figure 7.
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The mathematical model and numerical process were elaborated to extract the viscoelastic properties from the indentation data.
The detailed mathematical model solving process is shown as a flowchart in Fig. 2.
In mathematical terms, the process is described by a continuous time Markov chain, {Cit; t = 0 to T, i = 1 to N}, where Cit denotes the number of pathogens in the ith host at time t.
Mathematical model of this process is marked by considerable nonlinearity.
For state observation and control purposes, a mathematical representation of the process is required.
Mathematical model of the process is traditionally associated with differential and difference equations typically derived from related physical laws.
A generalized mathematical model of the process is developed in the form of a set of non-linear ordinary differential and algebraic equations.
Over the couple of decennia, mathematical modeling of release process is a need of time whether the drug remains in the circulation or reaches at the target site.
Mathematical simulation of the process is used to identify the operating conditions that allow preserving product quality and meeting operating constraints posed by the equipment.
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