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  • Systems of Linear Equations

    • Systems Of Linear Equations

    • Row Reduction And Echelon Forms

    • Vector Equations

    • The Matrix Equation Ax = b

    • Solution Sets Of Linear Systems

  • Linear Independence and Transformations

    • Linear Independence

    • Linear Transformations

    • Matrix Of A Linear Transformation

  • Matrix Algebra

    • Matrix Operations

    • Matrix Inverses

    • Invertible Matrix Theorem

    • Partitioned Matrices

    • Matrix Factorizations

  • Subspaces and Vector Spaces

    • Subspaces Of ℝⁿ

    • Dimension And Rank

  • Determinants

    • Introduction To Determinants

    • Properties Of Determinants

    • Cramer’s Rule And Applications

  • Eigenvalues and Eigenvectors

    • Eigenvalues And Eigenvectors

    • Characteristic Equation

    • Diagonalization

    • Complex Eigenvalues

  • Orthogonality and Least Squares

    • Inner Products And Orthogonality

    • Orthogonal Sets

    • Orthogonal Projections

    • Gram–Schmidt Process

    • Least Squares Problems

  • Symmetric Metrices and Quadratic Forms

    • Diagonalization Of Symmetric Matrices

    • Quadratic Forms

    • Constrained Optimization

    • Singular Value Decomposition (SVD)

Georgia Tech Linear Algebra Topics

Linear Algebra focuses on vectors, matrices, and systems of linear equations. Students learn how mathematical structures can represent and solve complex problems in engineering, computer science, and physics.

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