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The blood perfusion prediction errors caused by the approximate assumptions used in each model are studied using the numerical experiment method.
Under some approximate assumptions of the parameters, the sequence { x n } generated by (6) converges strongly to the unique solution of the variational inequality x ∗ ∈ F ( T ), 〈 ( I − f ) x ∗, x − x ∗ 〉 ≥ 0, ∀ x ∈ Fix ( T ).
They proved that under some approximate assumptions on the operators and parameters, the sequence { x n } generated by (1.11) converges strongly to the unique solution of the variational inequality (1.10).
They proved that under some approximate assumptions on the operators and parameters, the sequence { x n } generated by (4) converges strongly to the unique solution of the variational inequality 〈 ( ρ U − μ F ) x ∗, x − x ∗ 〉 ≤ 0, ∀ x ∈ Fix ( T ).
Upon making some approximate assumptions, by the ideas and techniques as suggested in this paper, one can establish the approximate controllability results for a wide class of linear fuzzy stochastic evolution equations.
It is shown that under certain approximate assumptions of the operators and parameters, the modified iterative sequence { x n } converges strongly to a fixed point x ∗ of T, also the solution of a variational inequality.
Similar(48)
Then, in the UC model, we make the approximate assumption that at most one relay service request is made in a time slot.
No approximating assumptions are needed other than the usual assumption of a linear elastic system modelled by finite elements.
Adverse-events data were analyzed using the Mantel-Haenszel method, with a random-effects model reporting risk ratio under the approximating assumption that adverse events occur independently.
Any type of lateral restraint can be exactly modeled and taken into consideration without the need for approximate simplifying assumptions.
Under the introduced generalization of higher-order approximate invexities assumptions, we prove that the solutions of generalized vector variational-like inequalities in terms of the generalized Jacobian are the generalized quasi-efficient solutions of nonsmooth multi-objective programming problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com