Lecture
Lagrange Multipliers: Examples and Methods
Related lectures (24)
Matrix Similarity and Diagonalization
Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.
Diagonalization of Matrices
Explores the diagonalization of matrices through eigenvectors and eigenvalues.
Linear Transformations: Polynomials and Bases
Covers linear transformations between polynomial spaces and explores examples of linear independence and bases.
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Linear Algebra: Vector Spaces
Explores vector spaces, linear independence, and spanning sets in linear algebra.
Linear Dependence and Independence
Explores linear dependence and independence of vectors, including subspaces generation and corollaries.
Diagonalizability of Matrices
Explores the diagonalizability of matrices based on eigenvalue multiplicities and eigenvectors.
Linear Dependence and Independence: Properties and CriteriaMOOC: Algebra (part 1)
Covers the properties and criteria of linear dependence and independence in a vector space.
Linear Independence and Bases in Vector Spaces
Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.
Vector Spaces: Basics and Operations
Covers the basics of vector spaces, including addition, scalar multiplication, and zero vectors, with examples and applications.