Abstract vector spaces | Chapter 16, Essence of linear algebra Published 2016-09-24 Download video MP4 360p Recommendations 27:07 How (and why) to raise e to the power of a matrix | DE6 26:57 The most beautiful equation in math, explained visually [Euler’s Formula] 35:11 Is the Future of Linear Algebra.. Random? 07:45 Sean Carroll: Hilbert Space and Infinity 17:16 Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra 16:26 Dear linear algebra students, This is what matrices (and matrix manipulation) really look like 21:58 Group theory, abstraction, and the 196,883-dimensional monster 23:01 But what is a convolution? 18:00 1.2 Vector Spaces - #11 Function Vector Spaces (Special) (Optional) 13:55 Vector space 26:01 The Matrix Transpose: Visual Intuition 23:45 The applications of eigenvectors and eigenvalues | That thing you heard in Endgame has other uses 13:13 A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra 06:58 What is a Vector Space? (Abstract Algebra) 20:47 The Concept So Much of Modern Math is Built On | Compactness 18:39 This equation will change how you see the world (the logistic map) 20:00 Parallel Worlds Probably Exist. Here’s Why Similar videos 09:52 Vectors | Chapter 1, Essence of linear algebra 05:09 Essence of linear algebra preview 28:58 Abstract Vector Spaces 08:41 Understanding Vector Spaces 12:51 Change of basis | Chapter 13, Essence of linear algebra 14:12 Dot products and duality | Chapter 9, Essence of linear algebra 09:59 Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra 13:03 VECTOR SPACES - LINEAR ALGEBRA 03:32 The Definition of Abstract Vector Space in Algebra 08:11 Vector Spaces | Definition & Examples 04:03 What is a Vector Space? 17:30 Vector Spaces Explained | Linear Algebra 09:01 Vector Spaces with Connections to Abstract Algebra 07:23 Vector spaces | Lecture 16 | Matrix Algebra for Engineers 47:42 5. Transposes, Permutations, Spaces R^n 04:27 Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra More results