可验证条件下随机截断随机算法的几乎必然收敛
Almost sure convergence of randomly truncated stochastic algorithms under verifiable conditions
摘要：
研究随机截断随机算法的几乎必然收敛。我们提出了一个新的收敛定理，通过使噪声项的经典条件消失，推广了已有的结果。本文的目的是在易于验证的条件下证明随机截断随机算法的一个几乎必然收敛结果
英文摘要：
We study the almost sure convergence of randomly truncated stochastic algorithms. We present a new convergence theorem which extends the already known results by making vanish the classical condition on the noise terms. The aim of this work is to prove an almost sure convergence result of randomly truncated stochastic algorithms under easily verifiable conditions
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
