Eigen and Pybind Libraries

Related lectures (22)

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

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Explores linear dependence and independence of vectors in geometric spaces.

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

Covers linear applications, matrices, transformations, and the principle of superposition.

Covers linear independence, bases, and coordinate systems with examples and theorems.

Covers the basics of linear algebra, emphasizing the identification of subspaces through key properties.

Explores operations and applications of linear algebra in solving equations and transformations.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Covers the arithmetic of pointers, the relationship between pointers and arrays, and the concept of buffer overflow in C programming.