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
📐Matrices: Arrays of numbers used to represent linear equations or transformations.
[Learn more about matrices](/en/mathematics/linear-algebra/matrix_operations)Linear Transformations: Operations like rotation, scaling, or projection that map vectors to other vectors.
Systems of Equations: Solved using matrix methods such as Gaussian elimination.
Explore applications in computer graphicsEigenvalues & Eigenvectors: Critical in understanding linear transformations' behavior.
Dive deeper into Linear Algebra concepts or check out interactive examples to reinforce your understanding!