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In this paper, the Turing instability in reaction diffusion models defined on complex networks is studied.

Three GA-PLSR models defined on the training sets had good transferability to the test sets, but nine GA-PLSR models were not successful.

Inferences are made using a simple non-stationary implementation of the conditional extremes model of Heffernan and Tawn (2004), comprising a set of coupled piecewise stationary marginal and dependence models defined on a partition of the covariate domain.

We compare these models with simpler models defined on binary phyletic vectors, such as the substitution matrices described by Cohen et al.[ 8].

Similar(56)

To understand more fully how (I_{text{h}}) controls the emergent scale of periodic waves seen in the simulations of Sect. 2 we now turn to a one-dimensional version of the model defined on the infinite domain.

Among the stationary configurations of the Hamiltonian of a classical O(n) lattice spin model, a class can be identified which is in one-to-one correspondence with all the configurations of an Ising model defined on the same lattice and with the same interactions.

Here Huang et al. (2016a) suddenly redefined them on surrounding nearest known locations as a geostatistical model (i.e. a model defined on spatial sample data).

The purpose of the present paper is to introduce a discrete model defined on a lattice, which realizes a determinantal process.

The probability density function p(x |λ) is a Gaussian Mixture Model defined on the N-dimensional vector x : p ( x | λ ) = ∑ ∀ m ′ ω m ′ ′ N ( x ; μ m ′, Σ m ′ ), (30).

To go beyond the k · p theory, an auxiliary tight-binding model defined on a lattice of sites containing two localized orbitals is introduced in such a way that it reproduces the bulk dispersion obtained from the two-band k · p model.

We have derived an algorithm for simulating data following an Andersen-Gill model defined on a total time scale.

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