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Consequently, an explicit stochastic nonlinear program results for finding a robust maximal load factor μ∗.
Consequently, an explicit stochastic nonlinear program results for finding a robust optimal design x∗, a maximal load factor.
Using this theorem, we obtain three new strong convergence results for finding a solution of an equilibrium problem, a fixed point of a hemirelatively nonexpnasive mapping, and a zero point of maximal monotone operators in a Banach space.
In this paper we utilize a generalized weakly contractive mapping to establish some best proximity point results which are global optimization results for finding the minimum distances between two sets.
They obtained some strong convergence results for finding a common element of the set of solutions of the mixed equilibrium problem (1.1) and the set of the variational inequality and the set of fixed points of a nonexpansive mapping.
Using this theorem, we obtain three new results for finding a solution of an equilibrium problem, a fixed point of a hemirelatively nonexpnasive mapping, and a zero point of maximal monotone operators in a Banach space.
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In 2000, Solodov and Svaiter [4] established a strong convergence result for finding zeros of maximal monotone operators.
However, there is very little result for finding the finite precision beamformers subject to achieving a certain speech quality.
Using this result, we also obtain a strong convergence result for finding a common fixed point of a nonexpansive mapping and a strictly pseudocontractive mapping.
We next apply our result for finding a common element of a fixed point set of a relatively nonexpansive mapping and the solution set of an equilibrium problem.
Further, utilizing Corollary 4.3 we first derive a strong convergence result for finding a common fixed point of a nonexpansive mapping and a mapping having property.
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