Giter VIP home page Giter VIP logo

linalg's Introduction

Linear Algebra

Step by Step by Kuldeep Singh.

  • Chapter 2: Euclidean Space
    • 2.1 Properties of Vectors
    • 2.2 Further Properties of Vectors
    • 2.3 Linear Dependence
    • 2.4 Basis and Spanning Set
  • Chapter 5: Linear Transformation (incomplete)
    • 5.1 Introduction to Linear Transformations
    • 5.2 Kernel and Range of a Linear Transformation
    • 5.3 Rank and Nullity
    • 5.4
    • 5.5
    • 5.6
  • Chapter 6: Determinants and the Inverse Matrix
    • 6.1 Determinant of a Matrix
    • 6.2 Determinants of Other Matrices
    • 6.3 Properties of Determinants
    • 6.4 LU Factorization
  • Chapter 7: Eigenvalues and Eigenvectors
    • 7.1 Introduction to Eigenvalues and Eigenvectors
    • 7.2 Properties of Eigenvalues and Eigenvectors
    • 7.3 Diagonalization
    • 7.4 Diagonalization of Symmetric Matrices
    • 7.5 Singular Value Decomposition

P.S. Please do not copy it, there are 20,457 lines of LaTeX written meticulously for it.

linalg's People

Contributors

k-karna avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.