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*Linear Equations and Linear Transformations | *Linear Equations and Linear Transformations | ||
**Introduction to [[Matrix]] | **Introduction to [[Matrix]] | ||
| − | **[[Matrix Multiplication|Matrix multiplication | + | **[[Matrix Multiplication|Matrix multiplication Version 1]] and [[Matrix_multiplication_MA265F10Walther|Version 2]] |
| − | **[[Inverse of a Matrix]] | + | **[[Inverse of a Matrix|Inverse of a Matrix Version 1]] and [[Inverse_MA265F10Walther|Version 2]] |
**Introduction to [[Linear transformation|Linear Transformation]]s | **Introduction to [[Linear transformation|Linear Transformation]]s | ||
* Subspaces of <math>R^n</math> | * Subspaces of <math>R^n</math> | ||
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**Another intro to [[On_Determinants|Determinants]] | **Another intro to [[On_Determinants|Determinants]] | ||
**What are some [[properties of the determinant]]? | **What are some [[properties of the determinant]]? | ||
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---- | ---- | ||
==Beyond the Basics== | ==Beyond the Basics== | ||
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==Applications== | ==Applications== | ||
| + | *[[ECE637_tomographic_reconstruction_coordinate_rotation_S13_mhossain|Coordinate Rotations]] | ||
*[[ECE662_Whitening_and_Coloring_Transforms_S14_MH|Whitening and coloring transforms]] | *[[ECE662_Whitening_and_Coloring_Transforms_S14_MH|Whitening and coloring transforms]] | ||
*[[Implementation_of_the_Divide_and_Conquer_DFT_via_Matrices|"divide and conquer" Discrete Fourier Transform (DFT)]] | *[[Implementation_of_the_Divide_and_Conquer_DFT_via_Matrices|"divide and conquer" Discrete Fourier Transform (DFT)]] | ||
| − | + | ||
| − | + | ||
---- | ---- | ||
[[linear_algebra|Back to "Linear Algebra" topic]] | [[linear_algebra|Back to "Linear Algebra" topic]] | ||
Latest revision as of 12:25, 27 March 2015
Tutorials and other Learning Material
The Basics
- Linear Equations and Linear Transformations
- Introduction to Matrix
- Matrix multiplication Version 1 and Version 2
- Inverse of a Matrix Version 1 and Version 2
- 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?
- Orthogonality
- When are vectors orthogonal?
- Determinants
- What is a determinant.
- Another intro to Determinants
- What are some properties of the determinant?
Beyond the Basics
- Dim(V) + Dim(Vorthogonal)=n
- Proof that transposing a matrix does not change its determinant
- Inner products and orthogonality
- Least Squares Solution (the formula)
- Jacobians and their Applications, by Math Squad member Joseph Ruan
- A tutorial about Bases, by Math Squad member Joseph Ruan:
- Linear Programming
Applications
- Coordinate Rotations
- Whitening and coloring transforms
- "divide and conquer" Discrete Fourier Transform (DFT)
