101 - LINEAR ALGEBRA This course will cover: 1. Matrices,...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
LINEAR ALGEBRA This course will cover: 1. Matrices, Vectors, and Systems of Linear Equations 1.1 Matrices and vectors 1.2 Linear combination, matrix-vector products, and special matrices 1.3 Systems of linear equations 1.4 Gaussain elimination 1.6 The span of a set of vectors 1.7 Linear dependence and linear independence 2. Matrices and Linear Transformations 2.1 Matrix multiplication 2.3 Invertibility and elementary matrices 2.4 The inverse of a matrix 2.5 Partitioned matrices and block multiplication 2.6 The LU decomposition of a matrix 2.7 Linear transformations and matrices 2.8 Composition and invertibility of linear transformations 3. Determinants 3.1 Cofactor expansion 3.2 Properties of determinants 4. Subspaces and Their Properties 4.1 Subspaces 4.2 Basis and dimension 4.3 The dimension of subspaces associated with a matrix 4.4 Coordinate systems 4.5 Matrix representations of linear operators 5. Eigenvalues, Eigenvectors, and Diagonalization 5.1 Eigenvalues and eigenvectors 5.2 The characteristic polynomial
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 10/16/2010 for the course EE kerker@hot taught by Professor Fong during the Spring '09 term at National Taiwan University.

Page1 / 5

101 - LINEAR ALGEBRA This course will cover: 1. Matrices,...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online