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mkdocs.yml
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site_name: yhwu_is's Notes
site_url: https://yhwu-is.github.io/Notes
site_author: yhwu_is
site_description: yhwu_is's Notes
repo_name: yhwu-is/Notes
repo_url: https://github.com/yhwu-is/Notes
edit_uri: tree/main/docs
theme:
name: material
language: 'zh'
palette:
- scheme: default # 日间模式
primary: indigo # 上方的
accent: cyan # 链接等可交互元件的高亮色
toggle:
icon: material/weather-night # 图标
name: 切换至夜间模式 # 鼠标悬浮提示
- scheme: slate # 夜间模式
primary: black
accent: cyan
toggle:
icon: material/weather-sunny
name: 切换至日间模式
features:
- content.code.annotate
- navigation.footer
- navigation.instant #- header.autohide #自动隐藏
#- announce.dismiss #呈现可标记为由用户读取的临时公告，可以包含一个用于取消当前公告的按钮
- navigation.tracking #地址栏中的 URL 将自动更新为在目录中突出显示的活动锚点
- navigation.tabs #顶级部分将呈现在上面视口标题下方的菜单层中，但在移动设备上保持原样
#- navigation.tabs.sticky #启用粘性选项卡后，导航选项卡将锁定在标题下方，并在向下滚动时始终保持可见
#- navigation.sections #启用部分后，顶级部分在边栏中呈现为1220px以上视口的组，但在移动设备上保持原样
- navigation.top # 返回顶部的按钮 在上滑时出现
- search.suggest # 搜索输入一些字母时推荐补全整个单词
- search.highlight # 搜索出的文章关键词加入高亮
#- navigation.expand # 打开Tab时左侧目录全部展开
- navigation.indexes #启用节索引页后，可以将文档直接附加到节
- search.share #搜索分享按钮
icon:
repo: fontawesome/brands/github #右上角图标
font: false
nav:
- Welcome: index.md
- 数学:
- 线性代数:
- 线性代数：未竟之美: math/linear_algebra/index.md
- 数学分析: math/math_analysis/index.md
- 优化理论与方法:
- 数学预备知识: math/optimization/preliminary.md
- 凸优化基础知识: math/optimization/basic.md
- 凸函数: math/optimization/convex.md
- 线性规划基础: math/optimization/lp.md
- 对偶: math/optimization/duality.md
- 几何应用: math/optimization/geometry.md
- 下降方法: math/optimization/descent.md
- 实分析:
- 勒贝格测度: math/real_analysis/measure.md
- 泛函分析:
- 度量空间: math/functional_analysis/metric.md
- 赋范线性空间与巴拿赫空间: math/functional_analysis/normed.md
- 巴拿赫不动点定理: math/functional_analysis/contraction.md
# - 拓扑学:
# - 微分几何:
# - 抽象代数:
- 统计学: math/statistics/index.md
- 理论计算机基础:
- 数据结构与算法分析:
- 引言与基础知识: tcs/dsa/dsa0.md
- 计算理论基础:
- 导言与预备知识: tcs/BasicTC/TC0.md
- 有限自动机与正则语言: tcs/BasicTC/TC1.md
- 下推自动机与上下文无关语言: tcs/BasicTC/TC2.md
- Church-Turing 论题: tcs/BasicTC/TC3.md
- 可判定性: tcs/BasicTC/TC4.md
- 可归约性: tcs/BasicTC/TC5.md
- 计算理论进阶:
- 时间复杂性: tcs/AdvancedTC/time.md
- 空间复杂性: tcs/AdvancedTC/space.md
- 概率算法: tcs/AdvancedTC/probabilistic.md
- 复杂性层次: tcs/AdvancedTC/intractability.md
- 机器学习理论:
- 机器学习理论基础: tcs/MLT/basic.md
- 量子信息基础:
- 希尔伯特空间: tcs/BasicQuantumInfo/hilbert.md
- 编程语言原理:
- lambda表达式: tcs/pfpl/lambda.md
- 判断与规则: tcs/pfpl/P1.md
- 静态与动态: tcs/pfpl/P2.md
- 全函数: tcs/pfpl/P3.md
- 有限数据类型: tcs/pfpl/P4.md
- 无限数据类型: tcs/pfpl/P6.md
- 算法博弈论:
- 微观经济学与博弈论基础:
- 导言: algt/BasicGameTheory/intro.md
- 偏好与效用: algt/BasicGameTheory/utility.md
- 逆向选择与信息不对称: algt/BasicGameTheory/reverse.md
- 贝叶斯决策理论基础: algt/BasicGameTheory/bayesian.md
- 扩展式博弈: algt/BasicGameTheory/extensive.md
- 策略式博弈: algt/BasicGameTheory/strategic.md
- 混合策略: algt/BasicGameTheory/mixed.md
- 均衡精炼: algt/BasicGameTheory/refinement.md
- 相关均衡: algt/BasicGameTheory/correlated.md
- 信号博弈: algt/BasicGameTheory/signaling.md
- 社会选择理论: algt/BasicGameTheory/social.md
- 博弈论进阶:
- 不动点与均衡（I）: algt/AdvancedGameTheory/fixedpoint-1.md
- 不动点与均衡（II）: algt/AdvancedGameTheory/fixedpoint-2.md
- 行为策略: algt/AdvancedGameTheory/behavior.md
- 不完全信息博弈的一般模型: algt/AdvancedGameTheory/incomplete-general.md
- 无限博弈: algt/AdvancedGameTheory/infinite.md
- 算法博弈论基础:
- 势博弈: algt/twenty_lectures/potential.md
- 在线学习与多臂老虎机: algt/twenty_lectures/online.md
- 无憾算法: algt/twenty_lectures/regret.md
- 随机奖励的多臂老虎机算法: algt/twenty_lectures/stochastic.md
- 算法博弈论进阶:
- 纳什均衡的计算复杂度（I）: algt/Advanced-algt/complexity-1.md
- 纳什均衡的计算复杂度（II）: algt/Advanced-algt/complexity-2.md
- 多臂老虎机进阶: algt/Advanced-algt/bandit.md
- 机制设计专题:
- 简介: algt/mechanism/intro.md
- 占优策略的执行: algt/mechanism/dominant.md
- 贝叶斯执行: algt/mechanism/bayesian.md
- 最优机制: algt/mechanism/optimal.md
- 拍卖理论基础（I）: algt/mechanism/auction.md
- 多参数机制基础: algt/mechanism/multi.md
- 无先验知识的机制设计: algt/mechanism/prior-free.md
- 计算与经济杂项:
- prediction markets: algt/EconCS/prediction-markets.md
- peer prediction: algt/EconCS/peer.md
- information design: algt/EconCS/information-design.md
- information pricing: algt/EconCS/information-pricing.md
- strategic learning: algt/EconCS/strategic.md
- performative prediction: algt/EconCS/performative.md
- fairness: algt/EconCS/fairness.md
- 经济与金融学类:
- 数理经济学基础:
- 概论: eco_fin/math_eco/intro.md
- 公司金融:
- 简介: eco_fin/corporate/P0.md
- 财务报表: eco_fin/corporate/P1.md
- 现金流: eco_fin/corporate/P2.md
- 风险与收益: eco_fin/corporate/P3.md
- 现金管理: eco_fin/corporate/P4.md
- 一些例题: eco_fin/corporate/exercise.md
- 一些杂记:
- 本伯南克: eco_fin/notes/bernanke.md
- 贫穷经济学: eco_fin/notes/poor.md
- 计算机类:
- 计算机网络:
- 2022-2023期末复习: cs/network/review.md
- 网络安全复习: cs/network/websec.md
- 参考习题: cs/network/exercise.md
- 网络安全:
- 面向信息安全的信号处理:
- 信号与系统基础: cs/web/signals/P1.md
- 信号处理与安全: cs/web/signals/P2.md
- 基于Matlab的实验: cs/web/signals/P3.md
- 硬件与系统安全:
- 软件安全:
- 基本原则与缓冲区溢出漏洞: cs/system/software/P1.md
- ROP: cs/system/software/P2.md
- 格式字符串漏洞: cs/system/software/P3.md
- 堆溢出: cs/system/software/P4.md
- 杂项: cs/system/software/P5.md
- 数据安全:
- 密码学:
- 古典密码: cs/data/crypto/P1.md
- 对称加密算法: cs/data/crypto/P2.md
- RSA加密算法: cs/data/crypto/P3.md
- 椭圆曲线加密算法: cs/data/crypto/P4.md
- 数据安全与隐私保护:
- 访问控制: cs/data/data privacy/P1.md
- 同态加密: cs/data/data privacy/P2.md
- 安全多方计算: cs/data/data privacy/P3.md
- 差分隐私: cs/data/data privacy/P4.md
- 区块链安全:
- 区块链技术原理: cs/blockchain/basic.md
- 论文阅读:
- 拍卖与机制设计:
- compatitive auctions and digital goods: paper/auction/P1.md
- 计算经济学:
- peer prediction: paper/ec/peer.md
- AI 相关:
- Human vs. Generative AI: paper/ai/human-ai.md
- LLM mechanism: paper/ai/llm.md
- TCS 相关:
- 算法机制设计: paper/tcs/almd.md
copyright: Copyright © 2023-2024 吴一航
extra:
generator: false #删除页脚显示“使用 MkDocs 材料制造”
social:
- icon: fontawesome/brands/github
link: https://github.com/yhwu-is
- icon: fontawesome/solid/paper-plane
link: mailto:<[email protected]> #联系方式
plugins:
- search
- tags #标签
markdown_extensions:
- toc:
permalink: true
toc_depth: 4
- meta
- def_list
- attr_list
- md_in_html
- sane_lists
- admonition
- pymdownx.keys
- pymdownx.mark
- pymdownx.tilde
- pymdownx.critic
- pymdownx.details
- pymdownx.snippets
- pymdownx.magiclink
- pymdownx.superfences
- pymdownx.inlinehilite
- pymdownx.emoji:
emoji_index: !!python/name:materialx.emoji.twemoji
emoji_generator: !!python/name:materialx.emoji.to_svg
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.arithmatex:
generic: true
extra_javascript:
- javascripts/extra.js
- javascripts/mathjax.js
- https://polyfill.io/v3/polyfill.min.js?features=es6
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js