<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[m0_74958775的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/m0_74958775</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; m0_74958775]]></copyright><item><title><![CDATA[【项目实战】PointCloud-GeoLab：用 Python / NumPy 搭建点云几何算法实验室]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/162146349</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/162146349</guid><author>m0_74958775</author><pubDate>Sat, 20 Jun 2026 14:47:10 +0800</pubDate><description><![CDATA[本文介绍开源项目 PointCloud-GeoLab：一个基于 Python / NumPy 的点云几何算法实验室，覆盖 KDTree、VoxelHashGrid、ICP、RANSAC、PCA、OBB、DBSCAN、地面移除、Benchmark、报告生成和实验性 Web Console，适合点云处理、三维视觉和 LiDAR perception 学习参考。]]></description><category></category></item><item><title><![CDATA[知能行微分方程核心框架]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/151397927</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/151397927</guid><author>m0_74958775</author><pubDate>Wed, 10 Sep 2025 12:56:45 +0800</pubDate><description><![CDATA[3 一阶微分方程1：可分离变量的微分方程。5 一阶微分方程3：一阶线性微分方程。10 二阶常系数线性齐次方程：特征方程。11 二阶常系数线性齐次方程：通解。12 二阶常系数线性齐次方程：特解。4 一阶微分方程2：齐次方程。9 二阶常系数线性齐次方程。8 非齐次方程解的结构。6 三种可降阶的方程。7 齐次方程解的结构。]]></description><category></category></item><item><title><![CDATA[知能行重积分]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/151397221</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/151397221</guid><author>m0_74958775</author><pubDate>Wed, 10 Sep 2025 10:59:17 +0800</pubDate><description><![CDATA[2.利用直角坐标计算二重积分。3.利用极坐标计算二重积分。]]></description><category></category></item><item><title><![CDATA[分享一个对我考研数学备考很有帮助的工具：知能行考研数学系统]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/151012709</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/151012709</guid><author>m0_74958775</author><pubDate>Sat, 30 Aug 2025 10:27:33 +0800</pubDate><description><![CDATA[知能行考研数学系统是一款基于人工智能的自适应学习平台，通过智能诊断、个性化训练和实时反馈三大核心功能，帮助考生高效备考。系统构建了完整的考研数学知识图谱，能够准确识别用户薄弱环节，并动态调整训练难度。与传统题海战术相比，该系统显著提高了备考效率，用户平均正确率可提升20-25%，解题速度提高40%。使用建议包括保持连续性、认真对待错题、结合其他学习资料等。虽然移动端体验和个性化解析有待完善，但整体上该系统能有效帮助考生攻克数学备考难题，实现针对性提升。]]></description><category></category></item><item><title><![CDATA[知能行多元微分]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/150929549</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/150929549</guid><author>m0_74958775</author><pubDate>Wed, 27 Aug 2025 16:19:46 +0800</pubDate><description><![CDATA[二元函数可微的必要条件和充分条件。二元极值的必要条件和充分条件。]]></description><category></category></item><item><title><![CDATA[知能行积分1]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/150770384</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/150770384</guid><author>m0_74958775</author><pubDate>Wed, 27 Aug 2025 13:59:58 +0800</pubDate><description><![CDATA[牛顿莱布尼茨公式反常积分收敛定义比较审敛法。]]></description><category></category></item><item><title><![CDATA[知能行导数应用]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/150769943</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/150769943</guid><author>m0_74958775</author><pubDate>Mon, 25 Aug 2025 15:08:12 +0800</pubDate><description><![CDATA[切线、法线定义渐近线凹凸性及判定拐点的定义曲率。]]></description><category></category></item><item><title><![CDATA[知能行中值定理]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/150769875</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/150769875</guid><author>m0_74958775</author><pubDate>Mon, 25 Aug 2025 14:53:27 +0800</pubDate><description><![CDATA[介值定理罗尔定理拉格朗日中值定理柯西中值定理泰勒中值定理积分中值定理。]]></description><category></category></item><item><title><![CDATA[知能行（连续、间断与导数）知识点学习]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/149508934</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/149508934</guid><author>m0_74958775</author><pubDate>Mon, 21 Jul 2025 17:27:58 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[考研数学知识点梳理笔记（B站李天意）]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/149453205</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/149453205</guid><author>m0_74958775</author><pubDate>Fri, 18 Jul 2025 22:09:50 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[除去两个极限都存在的情况，所有其他情况，乘积不一定存在]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147295064</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147295064</guid><author>m0_74958775</author><pubDate>Sun, 29 Jun 2025 20:55:20 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[NUS CS3233 Final Team Contest 2025 L题]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147249510</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147249510</guid><author>m0_74958775</author><pubDate>Tue, 15 Apr 2025 14:35:00 +0800</pubDate><description><![CDATA[【代码】NUS CS3233 Final Team Contest 2025 L题。]]></description><category></category></item><item><title><![CDATA[知能行每日刷题]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147225744</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147225744</guid><author>m0_74958775</author><pubDate>Mon, 14 Apr 2025 20:03:48 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[知能行今日综测]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147223891</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147223891</guid><author>m0_74958775</author><pubDate>Mon, 14 Apr 2025 15:57:29 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[数学归纳法]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147139753</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147139753</guid><author>m0_74958775</author><pubDate>Fri, 11 Apr 2025 12:10:51 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[知能行今日综测]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147085987</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147085987</guid><author>m0_74958775</author><pubDate>Fri, 11 Apr 2025 09:21:54 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[知能行今日刷题]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147120780</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147120780</guid><author>m0_74958775</author><pubDate>Thu, 10 Apr 2025 21:56:17 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[python求逆元]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147077418</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147077418</guid><author>m0_74958775</author><pubDate>Tue, 08 Apr 2025 20:57:55 +0800</pubDate><description><![CDATA[在Python中，可以使用内置的pow函数来计算模逆元（也称为模反元素）。模逆元是指对于整数a和模数m，找到一个整数x，使得。这在数论和密码学中非常有用。]]></description><category></category></item><item><title><![CDATA[python计算几何模板（dls）（ai转py）]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147076947</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147076947</guid><author>m0_74958775</author><pubDate>Tue, 08 Apr 2025 20:34:55 +0800</pubDate><description><![CDATA[【代码】python计算几何模板（dls）（ai转py）]]></description><category></category></item><item><title><![CDATA[知能行每日刷题（数列极限）]]></title><link>https://blog.youkuaiyun.com/m0_74958775/article/details/147058384</link><guid>https://blog.youkuaiyun.com/m0_74958775/article/details/147058384</guid><author>m0_74958775</author><pubDate>Tue, 08 Apr 2025 10:32:53 +0800</pubDate><description><![CDATA[]]></description><category></category></item></channel></rss>