What is this?
This is a visual notebook of graphic notes that illustrate the core concepts of Gilbert Strang's book 'Linear Algebra for Everyone', covering matrix factorizations like CR, LU, QR, eigen-decomposition, and SVD.
This is a visual notebook of graphic notes that illustrate the core concepts of Gilbert Strang's book 'Linear Algebra for Everyone', covering matrix factorizations like CR, LU, QR, eigen-decomposition, and SVD.Is this a library or code project, or just reading material?It is not code — it's a set of PDF documents with hand-crafted diagrams explaining vector/matrix concepts, meant to be read alongside the textbook.
It is not code — it's a set of PDF documents with hand-crafted diagrams explaining vector/matrix concepts, meant to be read alongside the textbook.How do I get the notes?Download the PDF 'The-Art-of-Linear-Algebra.pdf' directly from the repository; Japanese and Chinese translated versions are also provided as separate PDFs.
Download the PDF 'The-Art-of-Linear-Algebra.pdf' directly from the repository; Japanese and Chinese translated versions are also provided as separate PDFs.Do I need any software to use these notes?Just a PDF viewer — there's no code to install or run.
Just a PDF viewer — there's no code to install or run.Does this replace the actual textbook?No, it's a visual companion/supplement to Strang's book, not a full replacement for the course content.
No, it's a visual companion/supplement to Strang's book, not a full replacement for the course content.Who are these notes for?Students and learners studying linear algebra, particularly those following Strang's 'Linear Algebra for Everyone' material who want visual intuition for matrix factorizations.
Students and learners studying linear algebra, particularly those following Strang's 'Linear Algebra for Everyone' material who want visual intuition for matrix factorizations.What is the 'Map of Eigenvalues'?It's an additional standalone graphic in the repo that visually maps out relationships between eigenvalues, available as its own PDF.
It's an additional standalone graphic in the repo that visually maps out relationships between eigenvalues, available as its own PDF.What is 'Matrix World'?Another extra visualization included in the repo, presented as a separate PDF exploring matrix concepts beyond the main notes.
Another extra visualization included in the repo, presented as a separate PDF exploring matrix concepts beyond the main notes.Which matrix factorizations are covered?The notes visually explain Column-Row (CR), Gaussian Elimination (LU), Gram-Schmidt Orthogonalization (QR), Eigenvalue Diagonalization (QΛQ′), and Singular Value Decomposition (UΣV′).
The notes visually explain Column-Row (CR), Gaussian Elimination (LU), Gram-Schmidt Orthogonalization (QR), Eigenvalue Diagonalization (QΛQ′), and Singular Value Decomposition (UΣV′).Is there a printed book based on this project?Yes, a Japanese print book based on this visual material has been published.
Yes, a Japanese print book based on this visual material has been published.What are similar projects?Book4_Power-of-Matrix, mml-book.github.io, Semiconductor_Manufacturing_Introduction, MathModel, Book-Mathematical-Foundation-of-Reinforcement-Learning, libpku, TeachYourselfCS-CN, pumpkin-book
Book4_Power-of-Matrix, mml-book.github.io, Semiconductor_Manufacturing_Introduction, MathModel, Book-Mathematical-Foundation-of-Reinforcement-Learning, libpku, TeachYourselfCS-CN, pumpkin-bookWhich topics is it in?matrix, vector, linear-algebra, japanese, students, mathematics, academic, algorithms, visualization, data-visualization, book, pdf
matrix, vector, linear-algebra, japanese, students, mathematics, academic, algorithms, visualization, data-visualization, book, pdf