【大学数学】線形代数入門⑤(連立方程式:掃き出し法)【線形代数】
Expressing simultaneous linear equations as matrices and solving them systematically is called the "sweeping-out method." Naturally, it's also an essential subject in machine learning, which inevitably involves dealing with multiple variables. "Learn Linear Algebra in a Cram School Style (Tokyo Tosho)" https://amzn.to/2yvIUF1 → Yobinori's linear algebra classes have been published as a book. [List of Introduction to Linear Algebra Lecture Series] Introduction to Linear Algebra ① (Overview & Vectors) → • 【大学数学】線形代数入門①(概観&ベクトル)【線形代数】 Introduction to Linear Algebra ② (Matrices) → • 【大学数学】線形代数入門②(行列)【線形代数】 Introduction to Linear Algebra ③ (Linear Transformations and Properties of Operations) → • 【大学数学】線形代数入門③(一次変換と演算の性質)【線形代数】 Introduction to Linear Algebra ④ (Linear Independence and Linear Dependence) → • 【大学数学】線形代数入門④(一次独立と一次従属)【線形代数】 Introduction to Linear Algebra ⑤ (Simultaneous Equations: Sweep-Out Method) → • 【大学数学】線形代数入門⑤(連立方程式:掃き出し法)【線形代数】 Introduction to Linear Algebra ⑥ (Simultaneous Equations: Indefinite and Impossible) → • 【大学数学】線形代数入門⑥(連立方程式:不定と不能)【線形代数】 Introduction to Linear Algebra ⑦ (Simultaneous Equations: Order) → • 【大学数学】線形代数入門⑦(連立方程式:階数)【線形代数】 Introduction to Linear Algebra ⑧ (Determinants: Definition and Properties) → • 【大学数学】線形代数入門⑧(行列式:定義と性質)【線形代数】 Introduction to Linear Algebra ⑨ (Determinants: Cofactor Expansion) → • 【大学数学】線形代数入門⑨(行列式:余因子展開)【線形代数】 Introduction to Linear Algebra ⑩ (Inverse Matrix: Definition) → / fbaks 6OY0k0 Introduction to Linear Algebra ⑪ (Inverse Matrix: Sweep-Away Method) → • 【大学数学】線形代数入門⑪(逆行列:掃き出し法)【線形代数】 Introduction to Linear Algebra ⑫ (Eigenvalues and Eigenvectors) → • 【大学数学】線形代数入門⑫(固有値・固有ベクトル)【線形代数】 Introduction to Linear Algebra ⑬ (Diagonalization: When There Are No Multiple Solutions) → • 【大学数学】線形代数入門⑬(対角化:重解がない場合)【線形代数】 Introduction to Linear Algebra ⑭ (Diagonalization: When There Are Multiple Solutions) → • 【大学数学】線形代数入門⑭(対角化:重解がある場合) [List of Linear Algebra Test Preparation Videos] How to Find a Determinant → • 【大学数学】行列式の求め方(テスト対策)【線形代数】 How to Solve Simultaneous Linear Equations →http s:// • 【大学数学】連立1次方程式の解き方(テスト対策)【線形代数】 How to find the inverse of a matrix → • 【大学数学】逆行列の求め方(テスト対策)【線形代数】 How to find eigenvalues and eigenvectors → • 【大学数学】固有値・固有ベクトルの求め方(テスト対策)【線形代数】 Diagonalization exercises → • 【大学数学】行列の対角化演習(テスト対策)【線形代数】 ---------------------------------------------------------------------------------------------------------------- Recommended linear algebra exercises: "Clear Linear Algebra Exercises" https://amzn.to/2uzNSv1 →A good book with a summary of key points and detailed calculation steps. ---------------------------------------------------------------------------------------------------------------- Recommended textbooks for physics majors: "Modern Quantum Mechanics (Vol. 1)" https://amzn.to/2E1xndR →It was only after reading this book that I finally felt like I understood quantum mechanics. I'm so grateful... "Thermodynamics: A Modern Perspective" https://amzn.to/2pJrHA2 "Statistical Mechanics (1)" https://amzn.to/2GCp1ic "Statistical Mechanics (2)" https://amzn.to/2pO46OL →These three books completely changed my naive notion that physics is all about elementary particles. Thanks to them, I've now specialized in statistical physics. "Physics Guideposts" https://amzn.to/2pMS6gp →These books taught me about the incredibly cool life of a researcher. It inspired me to pursue a PhD and become a researcher. ---------------------------------------------------------------------------------------------------------------- On the "University Math and Physics" channel, where you can learn in a cram school atmosphere, we upload video lessons: ① University Course: University-level science subjects ② High School Course: Entrance exam-level science subjects We also provide information for high school and university science students. For business inquiries, please contact us on our website. For collaboration requests, please contact us on our website. For lecture requests, please leave a comment in the comments section of any video! Subscribe here (Let's continue enjoying our classes!) / @yobinori Official Website here (Easy to find the lecture you're looking for!) http://yobinori.jp/ Twitter here (Actively active!!) / yobinori Instagram here (See Takumi's daily life(?)) / yobinori Note here (Writes serious articles) Takumi (Instructor) → https://note.mu/yobinori Yasu (Editor) → https://note.mu/yasu_yobinori [Quote of the Day] Why does pollen only get into my right nostril? It tickles. *The above link URL uses an Amazon Associates link.
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【大学数学】線形代数入門⑧(行列式:定義と性質)【線形代数】
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