filmov
tv
Advanced Linear Algebra - Lecture 14: Isomorphisms of Vector Spaces
![preview_player](https://i.ytimg.com/vi/b7ADlJXkEe0/sddefault.jpg)
Показать описание
We learn what it means for two vector spaces to be isomorphic (roughly speaking, "the same").
Please leave a comment below if you have any questions, comments, or corrections.
Please leave a comment below if you have any questions, comments, or corrections.
Gilbert Strang: Linear Algebra vs Calculus
Advanced Linear Algebra - Lecture 1: What is a Vector Space?
How to self study pure math - a step-by-step guide
Advanced Linear Algebra 1: Vector Spaces & Subspaces
Advanced Linear Algebra 4: Dimension of a Vector Space
The Best Way To Learn Linear Algebra
Advanced Linear Algebra, Lecture 1.2: Spanning, independence, and bases
Advanced Linear Algebra - Lecture 34: The Singular Value Decomposition
Equivalence Class: Result, Properties, and Examples | Group Theory Lecture 02 (III) by Dubey Sir
Gil Strang's Final 18.06 Linear Algebra Lecture
Advanced Linear Algebra, Lecture 1.1: Vector spaces and linearity
Advanced Linear Algebra - Lecture 3: Linear Combinations and Spans
Linear Algebra II: Oxford Mathematics 1st Year Student Lecture - James Maynard
Advanced Linear Algebra 5: Change of Basis
Advanced Linear Algebra, Lecture 2.6: Matrices
Advanced Linear Algebra, Lecture 5.7: The norm of a linear map
Advanced Linear Algebra - Lecture 23: The Adjoint of a Linear Transformation
Advanced Linear Algebra, Lecture 4.6: Generalized eigenspaces
Advanced Linear Algebra, Lecture 3.6: Minors and cofactors
Advanced Linear Algebra, Lecture 1.6: Annihilators
Advanced Linear Algebra, Lecture 2.7: Change of basis
Advanced Linear Algebra - Lecture 40: The Operator Norm of a Matrix
Advanced Linear Algebra, Lecture 1.5: Dual vector spaces
Advanced Linear Algebra, Lecture 1.4: Quotient spaces
Комментарии