Prep 2011 workshop Linear Algebra: Difference between revisions
Jump to navigation
Jump to search
m (keep editing from discussions) |
m (keep editing from discussions) |
||
Line 12: | Line 12: | ||
** Matrix arithmetic | ** Matrix arithmetic | ||
** Matrix inverse | ** Matrix inverse | ||
** Matrix equations | |||
** Determinant | ** Determinant | ||
** Elementary Matrices | ** Elementary Matrices | ||
Line 18: | Line 19: | ||
** Definition of a vector space | ** Definition of a vector space | ||
** Euclidean vector spaces | ** Euclidean vector spaces | ||
** | ** linear combinations and span | ||
** linear independence | ** linear independence | ||
** basis and orthogonal basis | ** basis and orthogonal basis | ||
** | ** coordinate vectors and change of basis | ||
** column space | ** row space, column space, and null space | ||
** dimension | ** dimension | ||
** geometric examples | ** geometric examples | ||
* Linear transformations | * Linear transformations | ||
** Matrix of a linear transformation | ** Matrix of a linear transformation | ||
** | ** Reflections, rotations, dilations and projections | ||
** Inverse of a transformation | |||
* Applications | * Applications | ||
** Adjacency matrix | ** Adjacency matrix |
Revision as of 18:16, 23 June 2011
Preliminary Topic List
- Vectors
- Geometric objects - lines and planes
- Dot product
- Projection
- Orthogonal decomposition
- Systems of equations and elimination
- Free variables
- Consistency of solutions
- Gaussian elimination
- Matrix operations and algebra
- Matrix arithmetic
- Matrix inverse
- Matrix equations
- Determinant
- Elementary Matrices
- LU
- Vector Space Preliminaries
- Definition of a vector space
- Euclidean vector spaces
- linear combinations and span
- linear independence
- basis and orthogonal basis
- coordinate vectors and change of basis
- row space, column space, and null space
- dimension
- geometric examples
- Linear transformations
- Matrix of a linear transformation
- Reflections, rotations, dilations and projections
- Inverse of a transformation
- Applications
- Adjacency matrix
- Least squares
- Curve/surface fitting
- Mixture problems
- Simplex method
- Graph theory
- Eigenvalues and eigenvectors
- Inner product spaces and abstract vector spaces