Navigation Equations: Part 1

Related lectures (26)

Page 2 of 3

Covers examples of symmetric matrices and their properties, including eigenvectors and eigenvalues.

Explores diagonalization in symmetric matrices, emphasizing orthogonality and orthonormal bases.

Explores orthogonal base change in linear algebra, focusing on matrices and transformations.

Explores symmetric matrices, diagonalization, and quadratic forms properties.

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Covers the diagonalization of symmetric matrices, the spectral theorem, and the use of spectral decomposition.

Covers attitude and orientation in rotations, including small angles and orthonormal properties.

Introduces symmetric and anti-symmetric matrices, matrix powers, inverses, elementary matrices, and matrix manipulation.

Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.

Explores quadratic forms in IR³, matrix properties, diagonalization, and positive definite matrices.