Exact(3)
Thus the position x i is fully changed by h if the scaled position s i is not a function of t, and the second term of Eq. 25 becomes (29).
Therefore, a bivariate equation can be formulated, as a function of t and the modifier e, increasing significantly the descriptive capabilities of the model for real cases.
The likelihood term P t (c| p) indicates the probability of performing the command c at time t, if the demonstrator were to perform the program p. This probability is time-dependent and is modeled using a PDF as a function of t and the motor commands c.
Similar(57)
Note that (18) gives T as a function of T and λ T.
Panel B shows ∫ d x g (x, t ′ | y, t ) as a function of t − t ′ for the high (red) and low (blue) fitness ancestor.
Taking into account that τ(t) is a monotonic function of t and τ(t) → ∞ as t → ∞, we conclude that the asymptotic behaviors of both models coincide.
Clearly z∞ is a nonincreasing function of t and z∞(t j, 0)− w(x∞) ≥δ.
where h ( t ) may be a function of time t.
Each I t) was thus normalized by its maximum value and plotted as a function of reduced time t' (t' = t/tend).
The MCF curve changes as a function of time and its derivative gives the rate function, that is λ (t ) = d d t MCF (t ).
remains a function of only lCI and t.
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