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linear algebra

Linear Algebra: Introduction to Vectors
Linear Algebra: Introduction to Vectors
 
Uploaded: November 30, 1999 at 12:00 am
Author: khanacademy
 
Length: 16:31
Rating: 4.8228154
Views: 163010
 
Tags: Linear  Algebra  Vectors  
 
Lec 1 | MIT 18.06 Linear Algebra, Spring 2005
Lecture 1: The Geometry of Linear Equations. View the complete course at: ocw.mit.edu License: Creative Commons BY-NC-SA More information at ocw.mit.edu More courses at ocw.mit.edu...
 
Uploaded: November 30, 1999 at 12:00 am
Author: MIT
 
Length: 39:49
Rating: 4.9400826
Views: 712007
 
Tags: matrix theory  linear algebra  systems of equations  vector spaces  determinants  eigenvalues  similarity  positive definite matrices  least-squares approximations  networks  Fourier transforms  Markov processes  
 
WildLinAlg1: Introduction to Linear Algebra
The first of a series of lectures on Linear Algebra meant for freshman university students. This course emphasizes the geometric content of the subject, along...
 
Uploaded: November 30, 1999 at 12:00 am
Author: UNSW
 
Length: 43:31
Rating: 4.9333334
Views: 25399
 
Tags: Linear  algebra  course  vectors  affine  geometry  Wildberger  UNSW  
 
Lec 3 | MIT 18.06 Linear Algebra, Spring 2005
Lecture 3: Multiplication and Inverse Matrices. View the complete course at: ocw.mit.edu License: Creative Commons BY-NC-SA More information at ocw.mit.edu More courses at ocw.mit.edu
 
Uploaded: November 30, 1999 at 12:00 am
Author: MIT
 
Length: 46:49
Rating: 4.965675
Views: 149351
 
Tags: matrix theory  linear algebra  systems of equations  vector spaces  determinants  eigenvalues  similarity  positive definite matrices  least-squares approximations  networks  Fourier transforms  Markov processes  
 
Linear Algebra: Basis of a Subspace
Understanding the definition of a basis of a subspace
 
Uploaded: November 30, 1999 at 12:00 am
Author: khanacademy
 
Length: 19:00
Rating: 4.954955
Views: 123578
 
Tags: Linear  Algebra  Vectors  span  combination  basis  subspace  
 
Lec 2 | MIT 18.06 Linear Algebra, Spring 2005
Lecture 2: Elimination with Matrices. View the complete course at: ocw.mit.edu License: Creative Commons BY-NC-SA More information at ocw.mit.edu More courses at ocw.mit.edu
 
Uploaded: November 30, 1999 at 12:00 am
Author: MIT
 
Length: 47:42
Rating: 4.948276
Views: 197442
 
Tags: matrix theory  linear algebra  systems of equations  vector spaces  determinants  eigenvalues  similarity  positive definite matrices  least-squares approximations  networks  Fourier transforms  Markov processes  
 
Linear Algebra: Introduction to Linear Independence
Linear Algebra: Introduction to linear dependence and independence
 
Uploaded: November 30, 1999 at 12:00 am
Author: khanacademy
 
Length: 15:46
Rating: 4.9313307
Views: 92505
 
Tags: Linear  Algebra  Vectors  span  combination  
 
Lec 4 | MIT 18.06 Linear Algebra, Spring 2005
Lecture 4: Factorization into A = LU *Please note that there is not a higher quality version available. View the complete course: ocw.mit.edu License: Creative...
 
Uploaded: November 30, 1999 at 12:00 am
Author: MIT
 
Length: 50:13
Rating: 4.6630826
Views: 165198
 
Tags: matrix theory  linear algebra  systems of equations  vector spaces  determinants  eigenvalues  similarity  positive definite matrices  least-squares approximations  networks  Fourier transforms  Markov processes  
 
Linear Algebra: 3x3 Determinant
Determinants: Finding the determinant of a 3x3 matrix
 
Uploaded: November 30, 1999 at 12:00 am
Author: khanacademy
 
Length: 10:01
Rating: 4.8545456
Views: 44981
 
Tags: determinant  
 
Lec 30 | MIT 18.06 Linear Algebra, Spring 2005
Lecture 30: Linear Transformations and Their Matrices. View the complete course at: ocw.mit.edu License: Creative Commons BY-NC-SA More information at ocw.mit.edu More courses at ocw.mit.edu...
 
Uploaded: November 30, 1999 at 12:00 am
Author: MIT
 
Length: 49:27
Rating: 4.9921875
Views: 44378
 
Tags: matrix theory  linear algebra  systems of equations  vector spaces  determinants  eigenvalues  similarity  positive definite matrices  least-squares approximations  networks  Fourier transforms  Markov processes  
 





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