Vector Calculus in 3D

Related lectures (27)

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Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Covers scalar products, orthogonal vectors, norms, and projections in vector spaces, emphasizing orthonormal families of vectors.

Introduces the first step in finding an orthogonal/orthonormal base in a vector space.

Covers linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n.

Explores polynomial operations, properties, and subspaces in vector spaces.

Explores orthogonality, scalar product, and orthonormal bases in vector spaces.

Covers matrix operations, scalar product, orthogonality, and bases in vector spaces.

Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.

Covers the properties and operations of vector spaces, including addition and scalar multiplication.

Introduces orthogonal families, orthonormal bases, and projections in linear algebra.