Prep 2011 workshop Linear Algebra: Difference between revisions
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* Vectors | * Vectors | ||
** Geometric objects - lines and planes | ** Geometric objects - lines and planes | ||
** Dot product | ** Dot product and Vector Projections | ||
** Orthogonal decomposition | ** Orthogonal decomposition | ||
* Systems of equations and elimination | * Systems of equations and elimination | ||
Line 14: | Line 13: | ||
** Matrix inverse | ** Matrix inverse | ||
** Matrix equations | ** Matrix equations | ||
** Determinant | ** Determinant and Cramer's Rule | ||
** Elementary matrices and LU Decomposition | ** Elementary matrices and LU Decomposition | ||
* Vector space preliminaries | * Vector space preliminaries | ||
** Definition of a vector space and subspaces | ** Definition of a vector space and subspaces | ||
Line 26: | Line 24: | ||
** Row space, column space, and null space | ** Row space, column space, and null space | ||
** Dimension and rank | ** Dimension and rank | ||
** Geometric examples | ** Geometric examples | ||
* Linear transformations | * Linear transformations | ||
** Definition of a linear transformation | |||
** Matrix of a linear transformation | ** Matrix of a linear transformation | ||
** Reflections, rotations, dilations and projections | ** Reflections, rotations, dilations and projections | ||
Line 34: | Line 32: | ||
** Kernel, range, injection, surjection | ** Kernel, range, injection, surjection | ||
* Applications | * Applications | ||
** Adjacency matrix | ** Graph theory: Adjacency matrix and Incidence Matrix | ||
** Least squares | ** Least squares | ||
** Curve/surface fitting | ** Curve/surface fitting | ||
** Mixture problems | ** Mixture problems | ||
** Simplex method | ** Simplex method | ||
** Approximation of a function by a Fourier polynomial | ** Approximation of a function by a Fourier polynomial | ||
* Eigenvalues and eigenvectors | * Eigenvalues and eigenvectors | ||
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** Diagonalization | ** Diagonalization | ||
** Symmetric matrices & Trace | ** Symmetric matrices & Trace | ||
** Quadratic forms | ** Quadratic forms | ||
* Inner product spaces and abstract vector spaces | * Inner product spaces and abstract vector spaces | ||
== Working group members == | |||
* [[User:AlinaDuca|Alina Duca]] | |||
* [[User:William D. Emerson|William Emerson]] | |||
* [[User:Tuco|Jim Fischer]] | |||
* [[User:Tbflowers|Tim Flowers]] | |||
* [[User:Charles Fortin|Charles Fortin]] | |||
* [[User:Malcolm|Malcolm Harper]] | |||
== Assignment Status == | |||
[[Prep_2011_workshop_Linear_Algebra_Assignment_Status]] | |||
== Draft of Documentation documents == | |||
[[Prep_2011_workshop_Linear_Algebra_Documentation_Draft]] | |||
[[Category:PREP 2011]] |
Latest revision as of 17:26, 16 June 2021
Working page for the Linear Algebra group at PREP 2011
Preliminary Topic List - 2011-06-23
- Vectors
- Geometric objects - lines and planes
- Dot product and Vector Projections
- Orthogonal decomposition
- Systems of equations and elimination
- Row operations and Row Echelon Form
- Gaussian elimination (Free variables & Consistency of solutions)
- Matrix operations and algebra
- Matrix arithmetic
- Matrix inverse
- Matrix equations
- Determinant and Cramer's Rule
- Elementary matrices and LU Decomposition
- Vector space preliminaries
- Definition of a vector space and subspaces
- 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 and rank
- Geometric examples
- Linear transformations
- Definition of a linear transformation
- Matrix of a linear transformation
- Reflections, rotations, dilations and projections
- Inverse of a transformation
- Kernel, range, injection, surjection
- Applications
- Graph theory: Adjacency matrix and Incidence Matrix
- Least squares
- Curve/surface fitting
- Mixture problems
- Simplex method
- Approximation of a function by a Fourier polynomial
- Eigenvalues and eigenvectors
- Finding eigenvalues and eigenvectors
- Eigenspaces
- Diagonalization
- Symmetric matrices & Trace
- Quadratic forms
- Inner product spaces and abstract vector spaces
Working group members
Assignment Status
Prep_2011_workshop_Linear_Algebra_Assignment_Status