Lectures related to Linear Recurrent Sequences Systems

Covers the proof of the Squeeze Theorem, Quotient Criteria, and the Bolzano-Weierstrass Theorem.

Covers the formulation of linear systems, direct and iterative methods for solving them, and the cost of LU factorization.

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

Covers real sequences, induction, limits, and convergence in mathematical analysis.

Explores linear algebra basics, emphasizing matrix representations of transformations and the importance of choosing appropriate bases.

Covers the resolution of linear systems and its link to optimization problems.

Explores controllability in linear systems, discussing invertibility, associated matrices, and system behavior implications.