| Line 16: | Line 16: | ||
*[[Linear_algebra_%28eigenvalues_and_eigenvectors%29|Eigenvalues and Eigenvectors]] | *[[Linear_algebra_%28eigenvalues_and_eigenvectors%29|Eigenvalues and Eigenvectors]] | ||
*[[Hint_-_The_Least_Squares_Solution|The Least Squares Solution summarized in simple formulae!]] | *[[Hint_-_The_Least_Squares_Solution|The Least Squares Solution summarized in simple formulae!]] | ||
| + | *Basis | ||
| + | **[[Basis|When do vectors form a basis]] | ||
| + | **[[Change_of_Bases|Change of Bases]], by [[user:ruanj | Joseph Ruan]] | ||
| + | **[[Basis_Problems| Basis Example Problems specifically with polynomials]], by [[user:ruanj | Joseph Ruan]] | ||
| + | **[[Change_of_Bases| Change of Basis]], by [[user:ruanj | Joseph Ruan]] | ||
*[[Linear_Algebra_Resource|A linear algebra resource build by students]] (slightly more advanced, but still relevant) | *[[Linear_Algebra_Resource|A linear algebra resource build by students]] (slightly more advanced, but still relevant) | ||
::Linear Equations and Linear Transformations | ::Linear Equations and Linear Transformations | ||
Revision as of 11:32, 18 March 2013
Contents
MA265: Linear Algebra
Peer Legacy
Share advice with future students regarding MA265 on this page.
- Will bribing your instructor with rice cereal help you better understand the gram-Schmidt process?
- Matrix Multiplication, summarized by a student in Fall 2010
- Inverse of a Matrix, summarized by a student in Fall 2010
- Inner products and orthogonality, summarized by a student in Fall 2010
- Eigenvalues and Eigenvectors
- The Least Squares Solution summarized in simple formulae!
- Basis
- A linear algebra resource build by students (slightly more advanced, but still relevant)
- Linear Equations and Linear Transformations
- Introduction to Matrix
- Matrix Multiplication
- Inverse of a Matrix
- Introduction to Linear Transformations
- Subspaces of $ R^n $
- Definition of Subspace
- Definition of Kernel
- Definition of Image
- What is the Rank Nullity Theorem?
- When are vectors Linearly Independent
- When do vectors form a basis?
- Do you need a supplementary explanation of bases? Click here
- Linear Equations and Linear Transformations
- if V is a subspace of Rn. then [ ... ]
- Orthogonality
- When are vectors orthogonal?
- Determinants
- What is a determinant
- What are some properties of the determinant?
Want more? Click here to view all pages in the MA265 Category. Click here to view all pages in the linear algebra category.
Semester/Instructor specific pages
- Fall 2012, Prof. Basu
- Fall 2012, Prof. Alvarado
- Fall 2012, Prof. Walther
- Spring 2012, Prof. Walther
- Fall 2011, Prof. Walther
- Fall 2011, Prof. Yu
- Spring 2010, Prof. Walther
- Fall 2010, Prof. Rounds
- Fall 2010, Prof. Walther
- Fall 2010, Prof. Momin
