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Now, we derive the Green's matrix of problem (2.1 - 2.4 2.1 - 2.4
The matrix G ( x, ξ, λ ) is called Green's matrix of problem (2.1 - 2.5 2.1 - 2.5
end{cases} (3.13) The matrix (mathcal{G} x,xi,lambda)) is called Green's matrix of problem (2.1 - 2.5 2.1 - 2.5
end{aligned} (4.17) The matrix (G x,xi,lambda)) is called the Green's matrix of problem (2.1 - 2.4 2.1 - 2.4
where the matrix is called Green's matrix of problem (1.2), and is the fundamental matrix of the system such that ( is the unit -matrix).
In the present paper we need the Green's matrix of problem (9) for A ≡ 0. Therefore Y ( t ) = E and ℓ ( Y ) = K.
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The distance matrix D of problem (1) is estimated from the dataset, e.g., accordingly to any method described in [ 6- 12].
Furthermore, we show that the linearized problem is solvable in polynomial time because the constraint matrix of the problem meets the totally unimodular (TU) property.
The element G21 t, s) of Green's matrix of the problem (5.12), (5.13) coincides with Green's function W t, s) of the periodic problem for the scalar second order equation (5.10), and G11 t, s) corresponds to W t ′ ( t, s ).
Let us assume that problem (2.3), (2.4) is uniquely solvable; denote by its Green's matrix and by Green's matrix of the problem (2.1), (2.2).
Step 1: The first step of the MOORA method is constructing the decision matrix of the problem.
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