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	「[原创] 再谈 共轭方向法/Conjugate Direction Method In Optimization」的评论	</title>
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	<description>最优化之路</description>
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		评论者：张文武		</title>
		<link>https://www.codelast.com/%e5%8e%9f%e5%88%9b-%e5%86%8d%e8%b0%88-%e5%85%b1%e8%bd%ad%e6%96%b9%e5%90%91%e6%b3%95conjugate-direction-method-in-optimization/comment-page-1/#comment-3658</link>

		<dc:creator><![CDATA[张文武]]></dc:creator>
		<pubDate>Thu, 22 Mar 2018 07:05:04 +0000</pubDate>
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					<description><![CDATA[共轭梯度迭代中的N怎么证明比最速下降的少呢？]]></description>
			<content:encoded><![CDATA[<p>共轭梯度迭代中的N怎么证明比最速下降的少呢？</p>
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		<title>
		评论者：lcy		</title>
		<link>https://www.codelast.com/%e5%8e%9f%e5%88%9b-%e5%86%8d%e8%b0%88-%e5%85%b1%e8%bd%ad%e6%96%b9%e5%90%91%e6%b3%95conjugate-direction-method-in-optimization/comment-page-1/#comment-2066</link>

		<dc:creator><![CDATA[lcy]]></dc:creator>
		<pubDate>Sun, 20 Jul 2014 00:09:47 +0000</pubDate>
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					<description><![CDATA[&quot;所以由基础定理可知，当前迭代点的梯度与前面所有方向的点积为零&quot;还是没有明白，求指点]]></description>
			<content:encoded><![CDATA[<p>"所以由基础定理可知，当前迭代点的梯度与前面所有方向的点积为零"还是没有明白，求指点</p>
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