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Related lectures (27)
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LU Decomposition Algorithm
Covers the LU decomposition algorithm, transforming a matrix into L and U.
Linear Algebra: Reduction of Linear Application
Covers the reduction of a linear application and finding corresponding reduced forms and bases.
Matrix Operations: Linear Systems and Solutions
Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.
Linear Algebra Basics
Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
Linear Algebra Basics: Vector Spaces, Transformations, Eigenvalues
Covers fundamental linear algebra concepts like vector spaces and eigenvalues.
Linear Algebra: Associated Matrix and Subspaces
Explores the associated matrix of a linear map, basis formation, and space relationships.
Matrix Similarity and Diagonalization
Explores matrix similarity, eigenvalues, and diagonalization in linear algebra.