Vector Equations and Normal Equations

Related lectures (29)

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Covers matrices, linear applications, vector spaces, and bijective functions.

Covers vector equations of lines in analytical geometry, including finding intersection points and orthogonal projections.

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Covers affine subspaces, lines, planes, intersections, cross product, and distance calculations in vectorial geometry.

Covers the fundamentals of analytical geometry, focusing on vectors and their operations.

Covers the analytical study of the plan, focusing on points and lines.

Explores the analytical study of space, covering relative positions, angles, and properties of lines and planes.

Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.

Covers the precise description of the relative positioning of objects in space.

Explores orthogonality, dot product properties, vector norms, and angle definitions in vector spaces.