<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[为人与人工智能搭桥]]></title><description><![CDATA[从问题出发到数学描述再到程序语言， 因此不会编程的数学老师不是好的吉他手。]]></description><link>https://blog.youkuaiyun.com/serpenttom</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; serpenttom]]></copyright><item><title><![CDATA[【麒麟rpm】MindSpore详解]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/169654079</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/169654079</guid><author>serpenttom</author><pubDate>Mon, 09 Nov 2026 08:31:25 +0800</pubDate><description><![CDATA[✅ 利用昇腾 NPU 加速（比 CPU 快 4-6 倍）✅ 支持 GGUF 格式模型✅ 适合长期部署和批量推理CANN 驱动安装 → MindSpore 安装 → ONNX 转换 → MindIR 导出 → NPU 推理需要我帮你写某个具体部分的详细代码吗？GGUF → ONNX 的完整转换脚本MindIR 模型加载和推理示例多卡并行推理配置。]]></description><category></category></item><item><title><![CDATA[[workbuddy] 文献综述]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/169071060</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/169071060</guid><author>serpenttom</author><pubDate>Mon, 26 Oct 2026 00:19:47 +0800</pubDate><description><![CDATA[文献综述助手。]]></description><category></category></item><item><title><![CDATA[[Ascend] torch-npu]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/163692653</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/163692653</guid><author>serpenttom</author><pubDate>Wed, 12 Aug 2026 11:45:06 +0800</pubDate><description><![CDATA[是 ImportError: libascendcl.so not found。，否则会拉取 CUDA 版本，浪费空间且容易冲突。✅ 正常情况会看到 NPU 列表，且。容器环境跳过此步，由宿主机统一安装。✅ x86, x64 必须指定。✅ 三条全部正常，说明安装成功。为空，说明驱动与内核不匹配。下载与你上表对应的版本。]]></description><category></category></item><item><title><![CDATA[[最优控制] 第2章习题]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/141592150</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/141592150</guid><author>serpenttom</author><pubDate>Wed, 15 Jul 2026 01:15:49 +0800</pubDate><description><![CDATA[fxx⊤Axx∈Rnfxtd−fxxtd⊤Axtd−x⊤Axtd⊤Axx⊤AdOt2因此 $\lim_{t\to 0}\frac{f(x+td)-f(x)}{t}= d^\top Ax+x^\top A d= d^\top  Ax +d^\top A^\top x= d^\top (A+A^\top)x= \langle d, (A+A^\top)x\rangle $所以∇fxAA⊤x当A∈SnA⊤。]]></description><category></category></item><item><title><![CDATA[[英文] 连读规则（六级听力常用）]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/162640556</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/162640556</guid><author>serpenttom</author><pubDate>Mon, 06 Jul 2026 18:35:06 +0800</pubDate><description><![CDATA[/t/、/d/、/k/、/g/、/p/、/b/ 这些"爆破音"如果后面跟着另一个辅音，前一个只做口型、不爆破。美式英语中，所有 /r/ 都发音，所以这个规则在美式里是"自然连读"，不需要额外记。中的 /h/ 在连读中常常被"击穿"，完全不发音，前一个辅音直接连到后面的元音。这是连读的"基本功"，把前一个词结尾的辅音当作后一个词开头元音的"声母"。：/t/ 变为"弹舌音"（类似西班牙语的轻弹舌尖）或直接省略。等"舌尖高抬"的元音时，加 /j/。等"嘴唇圆拢"的元音时，加 /w/。]]></description><category></category></item><item><title><![CDATA[【英语】 音标与单词读音规则]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/162640157</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/162640157</guid><author>serpenttom</author><pubDate>Mon, 06 Jul 2026 18:22:54 +0800</pubDate><description><![CDATA[英文音标与单词的读音规则。]]></description><category></category></item><item><title><![CDATA[【语文】 现代汉语拼音]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/162632567</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/162632567</guid><author>serpenttom</author><pubDate>Mon, 06 Jul 2026 16:50:48 +0800</pubDate><description><![CDATA[汉语拼音属性列表]]></description><category></category></item><item><title><![CDATA[[openeuler] 使用感受]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/162189196</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/162189196</guid><author>serpenttom</author><pubDate>Mon, 22 Jun 2026 09:14:44 +0800</pubDate><description><![CDATA[最近购置了 一套  aarch64 CPU +  ascend 300I DUO NPU*2。原本是想好好发挥一下NPU的能力做计算。实际搭建过程真的是非常糟心。python3.7.9 实际上已经脱离了  torch_npu 维护的版本，所以 1. 无法回避.NPU的驱动不稳定. 该驱动需要在 官网选择正确参数以后下载。从三天前到货至今未能顺利让NPU跑起来。]]></description><category></category></item><item><title><![CDATA[【Graphs.jl】有向图部分]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/151154287</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/151154287</guid><author>serpenttom</author><pubDate>Mon, 04 May 2026 17:32:46 +0800</pubDate><description><![CDATA[Graphs.jl 有向图的 使用方法于技巧]]></description><category></category></item><item><title><![CDATA[【符号论】传统中医知识库]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/160770189</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/160770189</guid><author>serpenttom</author><pubDate>Mon, 04 May 2026 17:28:58 +0800</pubDate><description><![CDATA[【ima知识库链接】你是否也曾困惑：• 为什么明明很注意养生，身体却还是一堆小毛病？• 为什么感冒、流感总爱找你，而有些人却百毒不侵？• 高血压、糖尿病、甚至肿瘤，这些“终身病”真的只能靠药物维持吗？今天，我们不谈鸡汤，只谈真相。我们ima知识库中珍藏着一套被誉为“大医传承”的宝典——《本能论新解》。它或许能为你揭开所有谜底，颠覆你对健康、疾病的全部认知。准备好了吗？让我们一起走进这个“新世界”。]]></description><category></category></item><item><title><![CDATA[【分析学】Young不等式二]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/160084858</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/160084858</guid><author>serpenttom</author><pubDate>Sun, 12 Apr 2026 16:32:00 +0800</pubDate><description><![CDATA[Fenchel-Young不等式是凸分析中的核心不等式，它由共轭函数的定义直接导出，其证明过程简洁而深刻，并蕴含着丰富的几何与对偶思想。以下是其详细的证明过程与相关阐释。首先，对于一个函数 f:Rn→R∪{+∞}f: \mathbb{R}^n \to \mathbb{R} \cup \{+\infty\}f:Rn→R∪{+∞}，其共轭函数（或称Fenchel共轭） f∗f^*f∗ 定义为：
f∗(y)=sup⁡x∈domf(yTx−f(x))f^*(y) = \sup_{x \in \text{dom} f]]></description><category></category></item><item><title><![CDATA[【分析学】Young 不等式 一]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/160082886</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/160082886</guid><author>serpenttom</author><pubDate>Sun, 12 Apr 2026 16:31:01 +0800</pubDate><description><![CDATA[设 p,q∈(1,+∞)p, q \in (1, +\infty)p,q∈(1,+∞) 为对偶数，则对任意 a,b>0a, b > 0a,b>0，有
ab⩽1pap+1qbq，(6.3.18)a b \leqslant \frac{1}{p} a^p + \frac{1}{q} b^q，
\tag{6.3.18}ab⩽p1​ap+q1​bq，(6.3.18)
且等号成立当且仅当 ap=bqa^p = b^qap=bq。
证明（利用对数函数的凹性或指数函数的凸性）：
考虑函数 ln⁡x\ln xlnx，它是严]]></description><category></category></item><item><title><![CDATA[[deepin] 搭建 openclaw]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/159554614</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/159554614</guid><author>serpenttom</author><pubDate>Fri, 27 Mar 2026 23:32:28 +0800</pubDate><description><![CDATA[基于 deepin 25 搭建 openclaw 环境]]></description><category></category></item><item><title><![CDATA[【minimax】初次尝试本地办公]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/159516067</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/159516067</guid><author>serpenttom</author><pubDate>Thu, 26 Mar 2026 22:24:19 +0800</pubDate><description><![CDATA[在minimax 平台中生成本地文档。]]></description><category></category></item><item><title><![CDATA[[控制论] 线性控制系统]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/157430505</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/157430505</guid><author>serpenttom</author><pubDate>Tue, 27 Jan 2026 13:53:16 +0800</pubDate><description><![CDATA[x′(t)=Ax(t)+Bu(t),y(t)=Cx(t)+Du(t).x'(t) = Ax(t) + Bu(t),\\ y(t) = Cx(t) + Du(t).x′(t)=Ax(t)+Bu(t),y(t)=Cx(t)+Du(t).线性定常系统 x˙=Ax+Bu\dot{x} = Ax + Bux˙=Ax+Bu, y=Cx+Duy = Cx + Duy=Cx+Du 的极点是系统矩阵 AAA 的特征值，也即系统特征多项式 det⁡(sI−A)=0\det(sI - A) = 0det(sI−A)=0 的根。
]]></description><category></category></item><item><title><![CDATA[[DeepSeek] Engram模块的数学形式刻画]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/157427308</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/157427308</guid><author>serpenttom</author><pubDate>Tue, 27 Jan 2026 11:19:16 +0800</pubDate><description><![CDATA[概括 Engram 模块的数学形式。]]></description><category></category></item><item><title><![CDATA[【特殊函数】zeta函数]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/155911521</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/155911521</guid><author>serpenttom</author><pubDate>Mon, 05 Jan 2026 22:17:50 +0800</pubDate><description><![CDATA[zeta 函数来源于数论，应用于素数分布，量子力学等领域的研究。]]></description><category></category></item><item><title><![CDATA[【特殊函数】Dirac 函数]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/156616960</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/156616960</guid><author>serpenttom</author><pubDate>Mon, 05 Jan 2026 22:16:55 +0800</pubDate><description><![CDATA[狄拉克函数,记为δ(x),是数学与物理中至关重要的广义函数（或分布），由物理学家保罗·狄拉克（Paul Dirac）引入，用于描述“点源”（如点电荷、点质量、瞬时冲激）的理想化分布。它并非传统意义上的函数（无确定函数表达式），但通过积分意义与极限行为定义，具备独特的筛选性与对称性，是信号处理、量子力学、电磁学等领域的核心工具。
]]></description><category></category></item><item><title><![CDATA[【分析学】 连续性的概念辨析]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/155675868</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/155675868</guid><author>serpenttom</author><pubDate>Sun, 07 Dec 2025 20:49:03 +0800</pubDate><description><![CDATA[LipschitzHo¨lder函数的连续性、一致连续性、Lipschitz 连续性、Hölder 连续性以及绝对连续性是数学分析中函数光滑性的不同概念，它们在强度、应用场景和相互关系中各有不同。]]></description><category></category></item><item><title><![CDATA[[LaTeX] Tikz 平面绘图]]></title><link>https://blog.youkuaiyun.com/serpenttom/article/details/150920392</link><guid>https://blog.youkuaiyun.com/serpenttom/article/details/150920392</guid><author>serpenttom</author><pubDate>Sun, 07 Dec 2025 20:48:35 +0800</pubDate><description><![CDATA[tikz 绘图包，介绍平面直角坐标系与平面极坐标系两种。]]></description><category></category></item></channel></rss>