Linear Algebra: Exercises

Related lectures (25)

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Covers the definitions and properties of matrices, including matrix operations and determinants.

Explores the Eigen library for linear algebra, covering vectors, matrices, arrays, memory management, reshaping, and per-component operations.

Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.

Introduces eigenspaces in linear algebra through definitions and practical examples of determining eigenspaces for matrices.

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers matrix operations, coefficients, combinations, and applications in various scenarios.

Introduces fundamental concepts in linear algebra, such as vector spaces and eigenvalues.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.

Covers linear algebra, focusing on systems of equations and their solutions.