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Exact(12)
Initial vector can be determined using B-spline approximation of initial condition of the problem.
The condition of the problem determines the proper performance criteria of the neural network.
Subsequently, replacing Eq. (10) in the initial condition of the problem (19) y ( 0 ) = ∑ j = 0 m ∗ θ j ( r ) ⊙ P j ( 0 ) = y 0, (25).
If f ( x ) = Γ ( 2 k + 2 ) Γ ( 2 k + 3 − α ) 1 ( 2 k + n ), then the solvability condition of the problem is carried out.
By Theorem 3.1, the homogeneous boundary value problem (4.19) has an -parametric family of solutions where the -dimensional column vector can be determined from the solvability condition of the problem for.
Then by virtue of Lemma 4.1, the solvability condition of the problem (2.1), (2.2) can be rewritten in the form of ∫ ∂ Ω f ( x ) d s x = ∫ Ω g ( x ) d x.
Similar(48)
The last function satisfies to all the conditions of the problem (2.1), (2.2).
The following theorem states the optimality conditions of the problem (2.7).
By the differential conditions of the problem (32 - 34 32 - 34 an arbitrary number ε.
Hence, p(n) will satisfy also the KKT conditions of the problem (62).
The initial conditions of the problem are taken to be quiescent.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com