Linear algebra is a fundamental branch of mathematics that deals with vectors, matrices, and linear transformations. It provides the foundation for many areas in science, engineering, and computer science. Here's a quick breakdown:

  • Vectors: Represent quantities with both magnitude and direction. Example: 3D vectors 📐

    Vector

  • Matrices: Arrays of numbers used to represent linear equations or transformations.

    Matrix
    [Learn more about matrices](/en/mathematics/linear-algebra/matrix_operations)

  • Linear Transformations: Operations like rotation, scaling, or projection that map vectors to other vectors.

    Linear_Transformation

  • Systems of Equations: Solved using matrix methods such as Gaussian elimination.
    Explore applications in computer graphics

  • Eigenvalues & Eigenvectors: Critical in understanding linear transformations' behavior.

    Eigenvalues

Dive deeper into Linear Algebra concepts or check out interactive examples to reinforce your understanding!