The novelty of this work is a study of this equation with a μ-(S^{p} -pseudo almoS^{p} -pseudononlinealmostm sautomorph the cononlinearf "uniform contermity" insatisfyingome "Lipschithe type conditions suppofed in the literatuniform
To close this gap, by utilizing Schauder's fixed point theorem, we obtain μ-paa mild solutions for Eq. (1.1) with the μ-(S^{p} -paa nonlinear term f S^{p} -paa the cononlinearf "uniform contermity" type instead of satisfyingchithe type conditions suppofed in the literatuniform
Too many African carriers are plagued by debt and managed with the sole aim of satisfying the short-term interests of their cash-hungry owners.
Instead of satisfying the short-term shareholder value mindset, we must consider the following before we cut down the last tree.
The proposed technique does not require plant stability, and can manage any bounded disturbance term satisfying the matching condition.
The major difference between MAB and satisfaction-based learning is that MAB aims at maximizing the overall capacity, while satisfaction-based learning aims at satisfying the network in terms of capacity.
The reason is that the satisfaction-based MM approach only aims at satisfying the network in terms of rate and does not update its learning strategy once satisfaction is achieved in the network, i.e., no actions that may lead to improvements are explored.
A quasiequation is a pair consisting of a finite set of equations, the premises, and another equation, the conclusion; it is satisfied by an algebra when the two terms of the conclusion are equal under all evaluations of the n variables appearing in the terms satisfying the premises.
Since none of the individual cancelation techniques is capable of satisfying the system requirements in terms of the attainable SI cancelation capability, a high-capability cancelation scheme by combining the active and passive techniques is necessarily developed.
