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Related lectures (30)

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Introduces abstract concepts in linear algebra, focusing on operations with vectors and matrices.

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

Explores interlacing polynomials, real rooted theorems, and pseudo-probabilistic methods in polynomial analysis.

Covers examples of vector spaces and the concept of subspaces, emphasizing key properties and verification methods.

Introduces linear combinations in vector spaces, operations, and polynomials of degree 2.

Introduces vector spaces, subspaces, linear maps, and evaluation maps, with examples and exercises for better comprehension.

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

Introduces vector definitions, displacement, addition, and applications in geometry.

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

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