filmov
tv
1.1.14 Suppose the twelve vectors start from 6:00 at the bottom instead of (0,0) at the center
Показать описание
Problem 1.1.14 From Gilbert Strang's Introduction to Linear Algebra fourth edition. Chapter 1 - introduction to vectors - vectors and linear combinations.
Enjoy, and I am available for tutoring and private classes! :)
Suppose the twelve vectors start from 6:00 at the bottom instead of (0,0) at the
center. The vector to 12:00 is doubled to (0,2). Add the new twelve vectors.
Enjoy, and I am available for tutoring and private classes! :)
Suppose the twelve vectors start from 6:00 at the bottom instead of (0,0) at the
center. The vector to 12:00 is doubled to (0,2). Add the new twelve vectors.
0:03:57
1.1.14 Suppose the twelve vectors start from 6:00 at the bottom instead of (0,0) at the center
0:05:54
Linear Algebra Example Problems - Coordinate System Representation Example #1
0:17:16
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
0:06:56
How To Find The Equation of a Plane Given Three Points
0:05:00
How to determine if one vector is in the span of other vectors?
0:04:41
How to find out if a set of vectors are linearly independent? An example.
0:05:19
How to Find the Matrix of a Linear Transformation
0:31:21
Linear Algebra: Norm
0:11:16
Introduction to orthonormal bases | Linear Algebra | Khan Academy
0:13:52
Linear transformations | Matrix transformations | Linear Algebra | Khan Academy
0:11:23
Intro to Matrices
0:09:59
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
0:10:59
Linear transformations and matrices | Chapter 3, Essence of linear algebra
0:28:30
How To Find The Directional Derivative and The Gradient Vector
![[Linear Algebra] Linear](https://i.ytimg.com/vi/cFIRXQBfgg0/hqdefault.jpg)
0:12:30
[Linear Algebra] Linear Transformations
0:07:02
Volume of the parallelepiped determined by vectors (KristaKingMath)
0:03:51
Solving congruences, 3 introductory examples
0:06:57
Orthogonal, parallel or neither (vectors) (KristaKingMath)
0:04:39
Suppose the vectors \( x_{1}, x_{2} \) and \( x_{3} \) are the solu...
0:03:08
Triangle Inequality for Real Numbers Proof
0:05:56
Representation of signed number | sign magnitude form | 1's complement and 2's complement...
0:06:31
Solving Matrix Equations
0:05:19
Moment generating functions -- Example 1
0:02:04
Introduction to Relative motion!
Комментарии