Everything I know
π‘
π¦
π
π·
Searchβ¦
README
Meta
Sharing
Ideas
Focusing
Minimalism
Research
Knowledge
Environment
Music
Life
Writing
macOS
Hardware
Math
Logic
Linear algebra
Vectors
Lambda calculus
Real Analysis
Type Theory
Category theory
Statistics
Mathematical optimization
Geometry
Geometric Algebra
Algebraic topology
Fractals
Number theory
Group theory
Homotopy theory
Queueing theory
Topology
Differential equations
Graph theory
Calculus
Fourier transform
Wolfram Alpha
Automatic differentiation
Game theory
Linear Programming
Computer Science
Programming
Programming languages
Data Science
Open Source
Languages
Text editors
Operating systems
Package managers
DevOps
Mindfulness
Compilers
Physics
Biology
Automation
Education
Economy
Governance
Consciousness
Drugs
Chemistry
Unix
Web
Cloud computing
Front End
Security
Social networks
Networking
Health
Fitness
Medicine
History
Travel
Geography
Business
Relationships
3D Printing
Anki
Philosophy
Video
Machine learning
Computer graphics
Tools
Design
Keyboards
Future
Cryptocurrencies
Privacy
Games
Streaming
Talks
Analytics
Databases
Art
API
Distributed systems
Backups
Space
Psychology
Sleep
IRC
Work
Management
LaTeX
Robots
NLP
Virtual Reality
Augmented Reality
Neuroscience
CLI
Humans
Philanthropy
Animals
Podcasts
Documentaries
Movies
TV series
Courses
Articles
Poems
Research papers
Books
Other
Notes
Code
Looking back
Powered By
GitBook
Linear algebra
Notes
Lots of matrices don't have an inverse.
β
It is useful to simply think of matrices as systems of linear equations.
β
Links
β
Intuitive Math
β
β
Skill in Algebra
β
β
HN: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares (2018)
β
β
Immersive Linear Algebra
(
HN
)
β
Relearning Matrices as Linear Functions
(
HN
)
β
Thirty-three Miniatures: Mathematical and Algorithmic Applications of Linear Algebra
(
HN
)
β
A Brief Guide to A Few Algebraic Structures
(
HN
)
β
Margot Gerritsen on "Linear Algebra - the incredible beauty of math" (2013)
β
β
Interactive Linear Algebra
(
Code
) (
HN
) (
HN
)
β
Numerical Linear Algebra for Programmers book
β
β
Oxford Linear Algebra II course (2020)
β
β
No bullshit guide to linear algebra notebooks
β
β
MIT Linear Algebra Lectures (2010)
β
β
An Intuitive Guide to Linear Algebra (2012)
(
HN
)
β
A 2020 Vision of Linear Algebra (2020)
(
HN
)
β
GraphBLAST
- High-Performance Linear Algebra-based Graph Primitives on GPUs.
β
Graph BLAS
- Graph algorithms in the language of linear algebra. (
HN
)
β
Cotila
- Compile-time linear algebra system for C++.
β
BLIS
- Portable software framework for instantiating high-performance BLAS-like dense linear algebra libraries.
β
MIT Linear Algebra course
(
Code
)
β
Catalog of algebra books for self learning
β
β
Is NonLinear Algebra a thing? (2020)
β
β
Why is it important for a matrix to be square? (2018)
(
HN
)
β
Interactive Visualization of Why Eigenvectors Matter (2020)
β
β
Graphical Linear Algebra
(
HN
)
β
Vector Matrix Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems (2020)
β
β
Computability in linear algebra
β
β
Algebra of Programming
β
β
A Programmerβs Intuition for Matrix Multiplication
(
HN
)
β
Linear Algebra book by Jim Hefferon
(
HN
)
β
Introduction to Linear Algebra for Applied Machine Learning with Python (2020)
(
HN
)
β
How to Visualize a Matrix
β
β
Davidβs Super Quick Logic Cheat Sheet
β
β
the amplitwist, the conjugate transpose, and the complex derivative (2019)
β
β
Essence of linear algebra
β
β
Vectorious
- Linear algebra in TypeScript.
β
New Algorithm Breaks Speed Limit for Solving Linear Equations (2021)
(
HN
)
β
Mathematicians Inch Closer to Matrix Multiplication Goal (2021)
β
β
Printing algebraic numbers
β
β
Tasty Bits of Several Complex Variables
(
Code
)
β
A friendly introduction to linear algebra for ML (2021)
β
β
Introduction to Applied Linear Algebra β Vectors, Matrices, and Least Squares
β
β
Computational algebraic geometry for high school students
(
HN
)
β
Demystifying Determinant of a Matrix (2021)
β
β
Multiplying Matrices Without Multiplying (2021)
β
β
Compressing high-dimensional vectors by 97% (2021)
(
HN
)
β
Resources to learn algebra visually (2021)
β
β
Can We Solve Linear Algebra Problems at Extreme Scale and Low Precisions? (2021)
(
HN
)
β
linalg
- Reinforcing my linear algebra and numerical analysis by reimplementing basic, fundamental algorithms in Python.
β
Linear Algebra for Everyone, Gilbert Strang
(
Graphic notes
) (
HN
)
β
Iβ€οΈLA
- Compilable Markdown for Math.
β
An Introduction to Tensor Calculus
(
HN
)
β
What is the inverse of a vector? (2021)
(
HN
)
β
Efficient matrix multiplication
β
β
Stable softmax for sparse matrices (2019)
β
β
Matrix Multiplication Inches Closer To Mythic Goal (2021)
(
HN
)
Previous
Lean
Next
Vectors
Last modified
26d ago
Copy link
Contents
Notes
Links