Sentence examples for of discrete processes from inspiring English sources

Historically, the theory of discrete processes has followed the Pontryagin maximum principle for continuous optimal control problems that is reduced to attempts for formulating the discrete analog of the maximum principle.

Consideration was given to identification of discrete processes, which is reducible to the functional decomposition of discrete functions, where by the decomposition is meant the representation of a function by a formula in the basis of binary operations.

The reconstruction in complex processes will frequently combine a number of discrete processes into a single lumped process and will then apply kinetic parameters to the lumped process.

For an entity e ∈ E and time t, let S d (t) be the set of discrete processes which can be fired at time t, and let U d (t) be the set of discrete processes which are triggered at time t.

For a connector c = (e, p) or c = (p, e), u(c) is used as a function which will update the mark of e. 5. d : Pdiscrete → is a mapping called the delay, where Pdiscrete is the set of discrete processes in P. For a discrete process p, d(p): ℳ → R≥ 0 is called the delay function of p. 6. α > 0 is a real number called the generic time.

This procedure allows the study of the effects of erythropoietin on discrete processes of learning and attention in a sequential fashion.

Fixed point theory is a powerful tool for investigating the convergence of the solutions of iterative discrete processes or that of the solutions of differential equations to fixed points in appropriate convex compact subsets of complete metric spaces or Banach spaces, in general, [1 12].

We were careful to distinguish between the facilitation of parthenogenetic diploidisation of the zygote and other non-parthenogenetic reproductive development because it is known that Wolbachia can affect either of these discrete processes.

The calculus on time scales has been introduced in order to unify the theories of continuous and discrete processes and in order to extend those theories to a more general class of the so-called dynamic equations.

This behavioral versus neural (amygdalar) divergence regarding the effect of difficulty in CDTD tasks is probably due to the fact that behavior is the final single output of diverse neural discrete processes that may not always converge and that, case by case, may not always correlate with behavior.

Equation (8) can arise as the limit of a discrete process through the concept of a diffusion process in which case f (t, y) will represent the mean of this process and g t, y) is the m × d matrix such that ggT is the covariance.