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In this paper we generalize it to deal with general covariance by allowing field and method parameter types to change covariantly in matching types.
We analyze and clarify its algebraic and analytic properties, and we generalize it to non-selfadjoint partition operators χ and ¯¯¯χ.
In this paper, we generalize it and introduce a new design RPICS.
Next, we generalize it to hyperbolic systems for which the Riemann problem solution is not available.
By introducing two degrees of freedom k and n, we generalize it from discrete to continual [1, 2].
We first present this method for Legendre-chaos corresponding to uniform random inputs, and subsequently we generalize it to other random inputs.
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Here, we generalized it to include cats and humans, and checked that the delay response curves give good fits to published data for the cat (Joris et al., 2006).
But, we cannot generalize it for p ≠ 2. Because, if v = d μ d λ, then we have - d d λ Δ p u = - ( p - 1 ) d i v ( ∇ v ∇ u p - 2 ).
We finally generalize it to find a relation for (2n+ 1 -fold wells.
We also generalize it to multiple harmonic oscillators to represent various exogenous influences.
This is a very well-known fact, but since we will need to generalize it, let us give a sketch of a proof.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com