Linear Algebra (GATE DA) — GATE Data Science and Artificial Intellige…
Vector space, subspaces, linear dependence and independence of vectors, matrices, projection matrix, orthogonal matrix, idempotent matrix, partition matrix and their properties, quadratic forms, systems of linear equations and solutions; Gaussian elimination, eigenvalues and eigenvectors, determinant, rank, nullity, projections, LU decomposition, singular value decomposition.
- Exam: GATE Data Science and Artificial Intelligence (DA)
- Section: Linear Algebra