Notes

Long-running study notes and working logs — kept for my own reference, not curated for an audience. Engineering work lives on the main page.

  1. ChatGTP (New Bing) Guidence

    0011/12/31 ChatGTP

  2. Alg

    0011/04/30

  3. Array Structure

    0011/03/31 Data-Structures-and-Algorithm

  4. (c)tree copy

    0011/03/03

  5. (c)queue

    0011/03/02

  6. Stack

    1. Abstract 堆栈是操作受限的线性表:只能在同一端插入和删除(后进先出)

    0011/03/01 Data-Structures-and-Algorithm

  7. Linear List

    使用 C 实现

    0011/02/28 Data-Structures-and-Algorithm

  8. Graph and Network Basic

    0011/01/31 Data-Structures-and-Algorithm

  9. Data Structure Overview

    graph LR A(数据结构) A-->B1(逻辑结构) A-->B2(存储结构) A-->B3(运算集合) 数据结构:按某种逻辑关系组织起来的一批数据,按一定的映像方式把它存放在计算机的存储器中,并在这些数据上定义了一个运算的集合

    0010/12/31 Data-Structures-and-Algorithm

  10. Statistics - Basis

    0010/01/31 Statistics

  11. A/B Testing - Analyze Results

    0010/01/04 Statistics

  12. A/B Testing - Design an Experiment

    0010/01/03 Statistics

  13. A/B Testing - Metrics for Experiments

    0010/01/02 Statistics

  14. A/B Testing - Policy and Ethics for Experiments

    0010/01/01 Statistics

  15. A/B Testing - Overview

    0009/12/31 Statistics

  16. Database Practice Problems

    对于如下三张表单: orders users products

    0009/04/01 Database

  17. LeetCode Database Practice

    Methods

    0009/03/31 Database

  18. MySQL Doc

    0009/03/02 Database

  19. MySQL Doc

    0009/03/01 Database

  20. Sqlite Doc

    0009/02/28

  21. (MySQL) Database Model Design

    Reference: MySQL 8.0 Reference Manual

    0009/02/01 Database

  22. MySQL Doc

    0009/01/31 Database

  23. Data Cleaning 数据清洗

    Reference: MySQL 8.0 Reference Manual

    0009/01/01 Database

  24. Basis

    0008/12/31

  25. Stationary stochastic processes

    Stochastic Process A stochastic process is a family of random variables ${X_t, t\in\mathcal{T}}$, where $\mathcal{T}$ is an index set. Example: Amount of inventory in stock at the start of day $t$

    0008/03/31

  26. Gaussian Process Regression

    2021.03.07 Updates

    0008/02/29 Probability-Theory

  27. Input Modeling

    Physical Basis of Distribution Discrete: Binomial: model #“success” in $n$ trials when the trials are iid with success probability $p$ e.g. $n$ 个产品中有多少不合格 Negative Binomial: model #trials needed to achieve $k$ ”s...

    0008/01/31 Probability-Theory

  28. Probability - Advanced

    1. Model Evaluation R-squared (R squared) \(R^2=1-\frac{\sum(\hat{y}_i-y_i)^2}{\sum(y_i-\bar{y})^2}\)

    0008/01/02 Probability-Theory

  29. Probability - Rules and Distributions

    Probability Distributions

    0008/01/01 Probability-Theory

  30. Probability - Basis

    Probability - Basis

    0007/12/31 Probability-Theory

  31. Book - Factory Physics

    0007/10/01 Supply-Chain

  32. Book - Optimizing Factory Performance

    0007/09/30 Supply-Chain

  33. Six Sigma - DMAIC

    0007/09/01 Supply-Chain

  34. Lean Six Sigma - Intro

    0007/08/31 Supply-Chain

  35. ISYE6336 - TSP

    0007/04/05 Supply-Chain

  36. ISYE6336 - Long-haul Transportation Network Design

    0007/04/04 Supply-Chain

  37. ISYE6336 MCNF and MCMCF

    0007/04/03 Supply-Chain

  38. ISYE6336 Berth Scheduling

    0007/04/02 Supply-Chain

  39. ISYE6336 Ocean Freight

    0007/04/01 Supply-Chain

  40. ISYE6336 Freight Trasnportation

    0007/03/31 Supply-Chain

  41. Isye6334 markov chains

    0007/03/03

  42. ISYE6334 - Uncertain Demand

    0007/03/02 Supply-Chain

  43. ISYE6334 - EOQ Model

    0007/03/01 Supply-Chain

  44. ISYE6334 - Newsvendor Problem

    0007/02/28 Supply-Chain

  45. ISYE6335 - Layout of Piece-Picking from Cartons

    0007/02/01 Supply-Chain

  46. ISYE6335 - Warehouse Basis

    L1: Intro to Warehousing

    0007/01/31 Supply-Chain

  47. Basis

    0006/12/31

  48. PyClass SkeletonOfBeam Documentation

    This class is designed for reconstructing beam model from 3d object (or point cloud). The class mainly contains a workflow from loading data, constructing beam skeleton through step slicing, recoordinating and project...

    0006/01/31 Computer-Vision

  49. (Book Review)Concise Computer Vision - Reinhard Klette

    0005/12/31 Computer-Vision

  50. Linear Algebra in OR

    Row and Column Views for a Linear System

    0005/02/28 Operation-Research

  51. Graph

    一、图的基本概念

    0005/02/01 Operation-Research

  52. Queuing Theory

    1 基本概念 图 1-1 排队模型 1.1 排队系统的组成和特征 一般的排队过程都由输入过程、排队规则、服务过程三部分组成: 1.1.1 输入过程 输入过程是指顾客到来时间的规律性: 顾客的组成可能是有限的,也可能是无限的。 顾客到达的方式可能是一个一个的,也可能是成批的。 顾客到达可以是相互独立的,即以前的到达情况对以后的到达没有影响;否则是相关的。 输入过程可以是平稳的,即相继到达的...

    0005/01/31 Operation-Research

  53. Case Study for Integer Programming

    Case Study: Call Center Personnel Scheduling 1. Background and Motivation

    0005/01/04 Operation-Research

  54. Linear Programming (LP)

    LINKs Back: Wiki: Operation Reseach - Linear Programming

    0005/01/03 Operation-Research

  55. Nonlinear Programming

    References Coursera: Operations Research (1): Models and Applications (by National Taiwan University)

    0005/01/02 Operation-Research

  56. Integer Programming (IP)

    0005/01/01 Operation-Research

  57. Linear Programming (LP)

    除了以下介绍的线性规划问题,还有一些非线形规划问题通过 Linearization 也能转化为线性规划问题 Wiki: Operation Research - Linearizaiton

    0004/12/31 Operation-Research

  58. Advanced Topcis - Kernel and HMM

    0004/07/31 Machine-Learning

  59. Supervised Learning - Classifiers

    0004/06/30 Machine-Learning

  60. Unsupervised Learning - Density Estimation

    0004/06/02 Machine-Learning

  61. Unsupervised Learning - Dimensionality Reduction

    0004/06/01 Machine-Learning

  62. Unsupervised Learning - Clustering

    0004/05/31 Machine-Learning

  63. Improve Deep Neural Network

    1. Set up Machine Learning Application 1.1 Train/dev/test Sets

    0004/05/01 Machine-Learning

  64. Neural Network

    Jupyter Notebook: Simple neural network with sklearn 展示了一个简单的神经网络示例: 使用 sklearn.neural_network.MLPRegressor() 作为神经网络,根据波士顿地区房子的房间个数来预测房子的售价

    0004/04/30 Machine-Learning

  65. Linear and Non-Linear Regression

    import pandas as pd import numpy as np import sklearn import matplotlib.pyplot as plt

    0004/03/01 Machine-Learning

  66. Regression Basis

    0004/02/29

  67. Basis

    0003/12/31

  68. Grasshopper Basis

    0003/01/31 Grasshopper-Development

  69. Grasshopper Development-C#-06 Errors

    【说明】 本专栏的 Part 6 主要介绍作者在学习和实践中所遇到的一些程序运行问题的解决方案,如有差错或更优解,欢迎指正 您如果碰到有关 GH 二开的任何问题,欢迎在本专栏的任意一篇博文下留言交流

    0003/01/05 Grasshopper-Development

  70. Grasshopper Development-C#-05 Tricks

    【说明】 本专栏的 Part 5 主要介绍作者在学习和实践中所遇到的一些问题的解决方案,如有差错或更优解,欢迎指正 您如果碰到有关 GH 二开的任何问题,欢迎在本专栏的任意一篇博文下留言交流

    0003/01/04 Grasshopper-Development

  71. Grasshopper Development-C#-04 Write Own Class

    【本文重点】 查文档:(1) RhinoCommon SDK (2) Grasshopper API 专栏地址:专栏:Rhino (Grasshopper) 二次开发 (C#)

    0003/01/03 Grasshopper-Development

  72. Grasshopper Development-C#-03 Simple Plug-in for Grasshopper Using VS

    【本文重点】 查文档:(1) RhinoCommon SDK (2) Grasshopper API 专栏地址:专栏:Rhino (Grasshopper) 二次开发 (C#)

    0003/01/02 Grasshopper-Development

  73. Grasshopper Development-C#-01 Introduction

    【推荐阅读】 查文档:(1) RhinoCommon SDK (2) Grasshopper API 专栏地址:专栏:Rhino (Grasshopper) 二次开发 (C#)

    0002/12/31 Grasshopper-Development

  74. Japanese Overall

    Typing Rules: 不发音的小 “っ” 拼作 xtsu: 六つ 六个 (むっつ, muxtsutsu) 作为饰音的小 “ょ” 拼作 xyo: 食堂 (しょくどう, shixyokudou) 长音符号 “ー” 拼作横杠 “-“: プール 泳池 (pu-ru) “を” wo “し” ci (shi) “じ” ji “ん,ン” nn

    0002/02/28 Language-Learning

  75. Daily Expressions

    Cambly - Josiah - 0404

    0002/02/01 Language-Learning

  76. Daily Expressions

    Day 1 (1) 坐飞机旅行 travel by plane (2) 我想要/愿意学习更多知识 I would like to study more ==(3) 指手画脚的人== backseat driver (4) (人/天气/风景)非常漂亮 gorgeous (5) 保障措施/安全网 safety net 如果你决定辞职的话,你有什么其他的保障吗? Do you have a safety net if you decid...

    0002/01/31 Language-Learning

  77. GRE Vocabulary Part 3 - Suffix

    【参考资料】 1.“跟谁学”平台:刘彬 20000 词汇巅峰速记 2.《GRE 核心词汇 助记与精炼》第2版

    0002/01/03 Language-Learning

  78. GRE Vocabulary Part 2 - Prefix

    【参考资料】 1.“跟谁学”平台:刘彬 20000 词汇巅峰速记 2.《GRE 核心词汇 助记与精炼》第2版

    0002/01/02 Language-Learning

  79. GRE Vocabulary Part 1 - Root

    【说明】 查找单词时结合 prefix 和 suffix 另外两张表

    0002/01/01 Language-Learning

  80. GRE Vocabulary Overall

    【参考资料】 1.“跟谁学”平台:刘彬 20000 词汇巅峰速记 2.《GRE 核心词汇 助记与精炼》第2版 3.词源学网站:https://www.etymonline.com/

    0001/12/31 Language-Learning

  81. LA Basis - Some Math Concepts

    0 Eular Equation \(\begin{aligned} e^{i\theta}&=\cos\theta+i\sin\theta \\ e^{-i\theta}&=\cos\theta-i\sin\theta \\ \cos\theta&=\frac{e^{i\theta}+e^{-i\theta}}{2} \\ \sin\theta&=\frac{ie^{-i\theta}-ie^{i...

    0001/03/31 Linear-Algebra

  82. Math415 Final Review Sample

    P4

    0001/03/04 Linear-Algebra

  83. Math415 Midterm-3 Review

    D7 D7.2

    0001/03/03 Linear-Algebra

  84. Math415 Midterm-2 Review

    P1 对于 $Ax=b$ 的解的可能性 ($A_{m\times n},b_{m\times 1}$)

    0001/03/02 Linear-Algebra

  85. Math415 Discussions and Homeworks

    DH1 1.1 Schwarz Inequality \(\|\bf{w}\|\geq(\bf{v}\cdot\bf{w})/\|\bf{v}\|\)

    0001/02/28 Linear-Algebra

  86. Math415 Week 11-14

    -

    0001/02/02 Linear-Algebra

  87. Math415 Week 06-10

    -

    0001/02/01 Linear-Algebra

  88. Math415 Week 01-05

    L1 Def 2: 点乘 Dot Product $x\cdot y=x^T y=\sum_{i=1}^n x_i y_i$ $x\cdot y=y\cdot x$ For $x,y\in\mathbb{R}^n$, 但对于 $x,y\in \mathbb{C}^n$ 点乘的定义将变化

    0001/01/31 Linear-Algebra

  89. TextBook - Introduction to Linear Algebra

    ![[Snipaste_2023-05-17_09-37-22 1.png]]

    0000/12/31 Linear-Algebra