Exact(1)
One of the most enduring questions regarding the domestication process has been the recurrent evolution of a discrete set of traits that make up the domestication phenotype.
Similar(59)
end{aligned} (40 Equation 40 describes the time evolution of a discrete-time non-linear dynamical system, by defining the recursive relation that controls the sequence of differences between the network agents' beliefs.
The phylogenetic signal contained in the different data sets was assessed by likelihood mapping [ 57] using Tree-Puzzle 5.2 [ 58] with the JTT model [ 59] of amino acid evolution and a discrete gamma distribution to account for heterogeneity in evolutionary rates among positions in the multiple alignments.
A maximum likelihood (ML) tree [ 56] was inferred using the WAG (+F) model of evolution [ 57], a discrete gamma distribution and 1,000 bootstrap iterations.
Evolution of these discrete units toward an intermediate structure where silver atoms weakly interact in an extended semilinear fashion was achieved by employing CF3SO3– in structure 3. Alignment of the Ag(I) centers to form linear chains that feature argentophilic interactions was finally achieved in structure 4, where the ClO4– was selected as the counteranion.
It turns out that the evolution of the discrete component can be represented as a stochastic integral with respect to a Poisson random measure p ( d t, d z ), whose intensity is d t × m ( d z ), where m is the Lebesgue measure on ℝ.
This paper deals with the problem of detecting the current configurations of hybrid mechatronic systems, where the evolution of the discrete part is governed by a Petri net.
Signal processing has shown a breakthrough with the evolution of several discrete transforms and signal decomposition techniques, because all of these transforms and decompositions have their unique nature.
It is shown that the evolution of the discrete dynamics can be formulated as a descriptor system.
A feature of the solution is that, although the model describes the evolution of a site occupation density on a discrete lattice, the numerical solutions strongly suggest that a continuum approximation should be appropriate.
where a ∨ b = max ( a, b ) for a, b ∈ R. Then there exists a unique solution to (2), in which the evolution of the discrete component is given by (3).
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Justyna Jupowicz-Kozak
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