• Slides, online lectures, notes, target dates for each of the chapters:
  
  
  • Introduction to the course (Sept. 12)
    • slides: information on the course (2023-2024)
    
    
    • collegerama lecture of Sept. 13, 2022 (up to time instant 18:16)
    
    
  • Chapter 1: Introduction (Sept. 12 and 19)
    • slides of Chapter 1
    • notes made during the lecture of Sept. 12, 2023
    • notes made during the lecture of Sept. 19, 2023
    
    
    • collegerama lecture of Sept. 13, 2022 (from time instant 18:52)
    • collegerama lecture of Sept. 20, 2022 (up to time instant 1:08:41)
    
    
  • Chapter 2: Linear programming (Sept. 19 and 21)
    • slides of Chapter 2
    • notes made during the lecture of Sept. 19, 2023
    • notes made during the lecture of Sept. 21, 2023
    
    
    • collegerama lecture of Sept. 20, 2022 (from time instant 1:08:46 on)
    • collegerama lecture of Sept. 21, 2022 (up to time instant 1:09:09)
    
    
  • Chapter 3: Quadratic programming (Sept. 21)
    • slides of Chapter 3
    • notes made during the lecture of Sept. 21, 2023
    
    
    • collegerama lecture of Sept. 21, 2022 (from time instant 1:09:20 on)
    
    
  • Chapter 4: Nonlinear optimization without constraints (Sept. 26)
    • slides of Chapter 4
    • notes made during the lecture of Sept. 26, 2023
    
    
    • collegerama lecture of Sept. 27, 2022
    
    
  • Chapter 5: Nonlinear optimization with constraints (Sept. 28)
    • slides of Chapter 5
    • notes made during the lecture of Sept. 28, 2023
    
    
    • collegerama lecture of Sept. 28, 2022 (up to time instant 1:30:58)
    
    
  • Chapter 6: Convex optimization (Sept. 28, Oct. 5 and 17)
    • slides of Chapter 6
    • notes made during the lecture of Sept. 28, 2023
    • notes made during the lecture of Oct. 5, 2023
    • notes made during the lecture of Oct. 17, 2023
    
    
    • collegerama lecture of Sept. 28, 2022 (from time instant 1:31:14 on)
    • collegerama lecture of Oct. 4, 2022
    • collegerama lecture of Oct. 5, 2022 (until time instant 23:59)
    
    
  • Chapter 7: Global optimization (Oct. 17)
    • slides of Chapter 7
    • notes made during the lecture of Oct. 17, 2023
    
    
    • collegerama lecture of Oct. 5, 2022 (from time instant 24:00 on)
    
    
  • Chapter 9: Matlab optimization toolbox (Sept. 21 and Oct. 17)
    • slides of Chapter 9
    • notes made during the lecture of Oct. 17, 2023
    
    
  • Chapter 8: Optimization: Summary (Oct. 19)
    • slides of Chapter 8
    • notes made during the lecture of Oct. 19, 2023
    
    
    • collegerama lecture of Oct. 11, 2022 (up to time instant 1:13:17)
    
    
  • Chapter 10: Multi-objective optimization (Oct. 24)
    • slides of Chapter 10
    • notes made during the lecture of Oct. 24, 2023
    
    
    • collegerama lecture of Oct. 11, 2022 (from time instant 1:13:28 on)
    
    
  • Chapter 11: Integer optimization (Oct. 24)
    • slides of Chapter 11
    • notes made during the lecture of Oct. 24, 2023
    
    
    • collegerama lecture of Oct. 12, 2022
    
    
  • Question hour for Chapters 1-11 (Oct. 26)
    • notes made during the lecture of Oct. 26, 2023
    • notes regarding minimization of 2-norm versus 1-norm
    
    
  
  
• List of errata for the lecture notes:
  • Errata for the 2022 lecture notes - Version: September 30, 2022



• Exams and their solutions (note that for the new course SC42056 only Questions 1 and 2 apply):
  • Exam of October 2013 and its Worked solutions
  • Exam of October 2014 and its Worked solutions
  • Exam of November 2015 and its Short solutions
  • Exam of November 2016 and its Short solutions
  • Exam of November 2017 and its Short solutions
  • Exam of November 2018 and its Short solutions
  • Exam of October 2019 and its Short solutions
  • Exam of October 2020 and its Grading template
  • Exam of October 2021 and its Grading template
  • Exam of November 2022 and its Grading template
  • Exam of November 2023 and its Grading template
  
  
• Additional sample exams (note that for the new course SC42056 only Questions 1 and 2 apply):
  • Sample exam 1 and its Worked solutions
  • Sample exam 2 and its Worked solutions
  • Sample exam 3 and its Short solutions
  • Sample exam 4 and its Short solutions
  
  
• Exercises
  • Excercises for Chapters 1-7 and 11 and their Solutions
    
  
  
• Matlab m files for the examples in the lecture notes:
  • Note: These m files assume matlab release R2021b; if you use another version of matlab and if you get an error regarding the specification of the optimization options, please check the on-line help on how to provide the right specification for your version of matlab.
  • LP brewery example (p. 19-25, p. 88-89)
  • QP example 1 (p. 30)
  • QP example 2 (p. 31-32, p. 90-91)
  • simulated annealing example (p. 78)
  • MPC example (p. 91-94)
  • Neural network example (p. 99-104):
    main file: nnopt.m
    residuals and their Jacobian: nnfun.m
    initial estimates: nninit.m
    data: nndata.mat
  • Multi-criteria controller design: (Chapter 14, p. 169-173)
    main file: mcd.m
    objective function: mcd_J.m
    constraints: mcd_con.m