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        <title>Conjugate_gradient - Tag - Ubuk</title>
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    <title>共轭梯度法</title>
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    <pubDate>Thu, 25 Dec 2025 22:56:07 &#43;0800</pubDate>
    <author>o( ￣⌣￣ )o</author>
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    <description><![CDATA[<h2 id="参考资料">参考资料</h2>
<ul>
<li><a href="https://blog.csdn.net/weixin_29732003/article/details/103433096" target="_blank" rel="noopener noreffer ">https://blog.csdn.net/weixin_29732003/article/details/103433096</a></li>
<li><a href="https://zhuanlan.zhihu.com/p/408993709" target="_blank" rel="noopener noreffer ">https://zhuanlan.zhihu.com/p/408993709</a></li>
<li><a href="https://zhuanlan.zhihu.com/p/338838078" target="_blank" rel="noopener noreffer ">https://zhuanlan.zhihu.com/p/338838078</a></li>
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<h2 id="简介">简介</h2>
<p>Conjugate Gradient Method, 简称 CG 算法，常用于求解线性方程组</p>
<h3 id="共轭梯度法的思想">共轭梯度法的思想</h3>
<p>选择一个优化方向后, 便将该方向优化到极致，后面优化的过程不再影响之前的方向的极小值<br>
这就要求每一次的优化方向都共轭正交</p>]]></description>
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