首页> 外文会议>2010 First ACIS International Symposium on Cryptography and Network Security, Data Mining and Knowledge Discovery, E-Commerce Its Applications and Embedded Systems >Random Approximation with Weak Contraction Random Operator and Random Fixed Point Theorem for Nonexpansive Random Mapping
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Random Approximation with Weak Contraction Random Operator and Random Fixed Point Theorem for Nonexpansive Random Mapping

机译:非扩张随机映射的弱压缩随机算子和随机不动点定理的随机逼近

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摘要

In real reflexive separable Banach space which admits a weakly sequentially continuous duality mapping, the sufficient and necessary condition that nonexpansive random mapping has a random fixed point is obtained. By introducing a random iteration process with weak contraction random operator, we obtain the convergence theorem of the random iteration process to a random fixed point for nonexpansive random mapping.
机译:在允许弱连续连续对偶映射的实反身可分离Banach空间中,获得了非扩张随机映射具有随机不动点的充分必要条件。通过引入具有弱压缩随机算子的随机迭代过程,我们获得了针对非扩展随机映射的随机迭代过程到随机固定点的收敛定理。

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