Lecture 10: Spectral decomposition - CSE IITK
Lecture 10: Spectral decomposition - CSE IITK

Reg Alg IIsyllabus
Reg Alg IIsyllabus

PDF
PDF

Determinant of a nxn matrix
Determinant of a nxn matrix

Some Matrix Applications
Some Matrix Applications

3.2 The Characteristic Equation of a Matrix
3.2 The Characteristic Equation of a Matrix

Project 1 - cs.rochester.edu
Project 1 - cs.rochester.edu

20 The Column Space
20 The Column Space

Whirlwhind review of LA, part 1
Whirlwhind review of LA, part 1

... Please keep up with the reading! ...
Original 06/28/05
Original 06/28/05

1. Let A = 1 −1 1 1 0 −1 2 1 1 . a) [2 marks] Find the
1. Let A = 1 −1 1 1 0 −1 2 1 1 . a) [2 marks] Find the

Section 4-6:Matrices
Section 4-6:Matrices

14. The minimal polynomial For an example of a matrix which
14. The minimal polynomial For an example of a matrix which

Orthogonal matrices, SVD, low rank
Orthogonal matrices, SVD, low rank

matrices and systems of equations
matrices and systems of equations

118 CARL ECKART AND GALE YOUNG each two
118 CARL ECKART AND GALE YOUNG each two

Lecture 15: Projections onto subspaces
Lecture 15: Projections onto subspaces

FIELDS OF VALUES OF A MATRIX H=T*T,
FIELDS OF VALUES OF A MATRIX H=T*T,

Lecture 4 Divide and Conquer Maximum/minimum Median finding
Lecture 4 Divide and Conquer Maximum/minimum Median finding

The Bungers–Lehmer Theorem on Cyclotomic Coefficients
The Bungers–Lehmer Theorem on Cyclotomic Coefficients

Automatic Geometric Theorem Proving: Turning Euclidean
Automatic Geometric Theorem Proving: Turning Euclidean

Quiz 2 - CMU Math
Quiz 2 - CMU Math

ALGEBRAIC NUMBER THEORY
ALGEBRAIC NUMBER THEORY

determinants
determinants

notes
notes

Cayley–Hamilton theorem