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Numerical Methods and Optimization
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Corso di Laurea Magistrale in Informatica (LM-18)
NMO
Matlab files (optimization part)
Objective function used in the gradient method
Objective function used in the gradient method
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f.m
link to view the file.
◄ Gradient method with inexact line search
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Exercises on Matlab syntax
Definiteness of matrices - definitions and characterization
Exercises on Householder reflectors and QR factorization
Lab assignments on QR factorization (updated on 2016-10-5: fixed a couple of errors)
Lab assignments on linear systems
Example matrix (karate_ascii.mat)
Lab assignments on least squares problems
Stats and salaries data (salaries.csv)
Lab assignments on eigenvalue problems
Exercises on the Schur factorization (theoretical)
matlab cheat sheet
householder reflector construction
Arnoldi process
QR factorization (uses the Householder reflector in the previous file)
Gradient method for quadratic functions
Gradient method with inexact line search
Conjugate gradient method for quadratic functions
Directional direct-search method
Newton method with inexact line search
Frank-Wolfe method
Penalty method
Objective function used in the penalty method
Logarithmic barrier method
Objective function used in the Logarithmic barrier method
svm1
svm2
svm3
Linear algebra recall and special matrices (prof. Bevilacqua's notes)
Eigenvalues (prof. Bevilacqua's notes)
Matrix norms (prof. Bevilacqua's notes)
Student notes 2010-2011 course (Italian)
Short note on identity-plus-rank-one matrices
Answers to a few questions asked by a student
More answers to questions asked by a student
More answers to student questions
Practice test (mock exam) 2016-12-13
Conjugate gradient method for quadratic functions ►