The blood perfusion prediction errors caused by the approximate assumptions used in each model are studied using the numerical experiment method.
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.
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 ).
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.
They proved that under some approximate assumptions on the operators and parameters, the sequence { x n } generated by (1.7) converges strongly to a unique solution of the variational inequality: 〈 ρ U ( z ) − μ F ( z ), x − z 〉 ≥ 0, ∀ x ∈ Fix ( T ).
They proved that under some approximate assumptions on the operators and parameters, the sequence { x n } generated by (1.10) converges strongly to the unique solution of the variational inequality 〈 ρ U ( z ) − μ F ( z ), x − z 〉 ≥ 0, ∀ x ∈ Fix ( T ).
They proved that under some approximate assumptions on the operators and parameters, the sequence ({x_{n}}) generated by (1.5) converges strongly to the unique solution of the variational inequality bigllangle ( rho V-mu F ) x^{ast},x-x^{ast} bigrrangle leq0, quadforall xin operatorname {Fix}(T).
They proved that under some approximate assumptions on the operators and parameters, the sequence ({x_{n}}) generated by (1.4) converges strongly to a unique solution of the following variational inequality problem (VIP): Find (z in F(T)) such that bigllangle rho U z -mu F(z), y-zbigrrangle geq0, qU z -muall yin F z).
