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 01 Vectors, what even are they? | R The fundamental, root-of-it-all building block of linear algebra is the vector, so it's worth making sure that we're all on the same page about what exactly a vector is. http://qindex.info/d.php?c=5093#5094

 02 Linear combinations, span and basis vectors | R Linear combinations, span, and basis vectors | Essence of linear algebra, chapter 2 http://qindex.info/d.php?c=5093#5179

 03 Linear transformations and matrices | R Linear transformations and matrices | Essence of linear algebra, chapter 3 http://qindex.info/d.php?c=5093#5180

 04 Matrix multiplication as composition | R Matrix multiplication as composition | Essence of linear algebra, chapter 4 http://qindex.info/d.php?c=5093#5181

 07 How to organize, add and multiply matrices | R By now, I'm sure that in just anything you do in your life, you need numbers. In particular, though some fields don't just need a few numbers, they need lots of them. How do you keep track of those numbers? http://qindex.info/d.php?c=5093#5195

 12.1 Vectors in the Plane Part 1 | R 12.1 Vectors in the Plane Part 1 http://qindex.info/d.php?c=5093#5116

 12.1 Vectors in the Plane Part 2 | R 12.1 Vectors in the Plane Part 2 http://qindex.info/d.php?c=5093#5278

 12.2 Vectors in Three Dimensions | R 12.2 Vectors in Three Dimensions http://qindex.info/d.php?c=5093#5285

 12.2 Vectors In Three Dimensions 12.2.75 | R 12.2 Vectors In Three Dimensions 12.2.75 http://qindex.info/d.php?c=5093#5286

 12.3 Dot Product Part 1 | R Given two nonzero vectors in two or three dimensions, their dot product is the product of the magnitudes times cosine of the angle between the two vectors. http://qindex.info/d.php?c=5093#5287

 12.3 Dot Product Part 2 | R 12.3 Dot Product Part 2 http://qindex.info/d.php?c=5093#5289

 12.4 Cross Product Part 1 | R Given two nonzero vectors in two or three dimensions, their cross product is a vector with magnitude equal to the product of the magnitudes of the vectors times the sine of the angle between the vectors and direction perpendicular to the vectors. http://qindex.info/d.php?c=5093#5290

 12.4 Cross Product Part 2 | R 12.4 Cross Product Part 2 http://qindex.info/d.php?c=5093#5292

 12.5 Lines and Curves in Space Part 1 | R 12.5 Lines and Curves in Space Part 1 http://qindex.info/d.php?c=5093#5323

 12.5 Lines and Curves in Space Part 2 | R 12.5 Lines and Curves in Space Part 2 http://qindex.info/d.php?c=5093#5324

 CBlissMath | 1 Sec 2.2 Properties of matrix operations | R

 Dave | 10 01 Introduction to Vectors and Their Operations | R     02 The Vector Dot Product | R     03 Introduction to Linear Algebra | R     04 Understanding Matrices and Matrix Notation | R     05 Elementary Row Operations and Gauss-Jordan Elimination | R     06 Types of Matrices and Matrix Addition | R     07 Matrix Multiplication and Associated Properties | R     08 Evaluating the Determinant of a Matrix | R     09 The Vector Cross Product | R     10 Inverse Matrices and Their Properties | R

 Linda Misener | R 2018-09-01 01:12 http://qindex.info/d.php?c=5093#5284

 Matthew Salomone | 11 202W.00 Getting Started | R     202W.01.1 What is Linear Algebra? | R     202W.02 The parametric solution set of a linear system | R     202W.02A Numbers of variables and equations means... | R     202W.02B What do pivots mean? 2x2 examples | R     202W.02C What do pivots mean? 3x3 examples | R     202W.03C Linear systems and linear combinations | R     202W.03D Intro to Matrices and Matrix Multiplication | R     202W.03E What does linear algebra "look like?" | R     202W.04E Linear Independence Activity 2.4.3 | R

 Tensor | 7 01 Motivation | R     02 Tensor Definition | R     03 Correction on Forward + Backward Transforms | R     03 Forward and Backward Transformations (contains error; read description! | R     04 Vector definition | R     05 Vector Transformation Rules | R     06 What are Covectors? | R

 What is a Vector Space? (Abstract Algebra) | R What is a Vector Space? (Abstract Algebra) http://qindex.info/d.php?c=5093#5206
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