• Lecture 1 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Introduction
• Lecture 2 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Linear_Algebra_Four_Fundamental_Subspaces
• Lecture 3 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Linear_Algebra_Four_Fundamental_Subspaces_part2
• Lecture 4 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Linear_Algebra_Four_Fundamental_Subspaces_use_case
• Lecture 5 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Least_Squares_and_Quadratic_Programming
• Lecture 6 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Domain_Convex_Domains
• Lecture 7 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Linear_inequality_representation_of_convex_domains
• Lecture 8 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/QCQP_SOCP
• Lecture 9 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Linear_Programming
• Lecture 10 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/SDP
• Lecture 11 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/MICP
• Lecture 12 - https://github.com/SergeiSa/Computational-Intelligence-Slides-Fall-2020/tree/master/Slides/Dynamical_systems_with_constraints

• Lecture 1: part 1, part 2
• Lecture 2: part 1, part 2, part 3
• Lecture 3: part 1, part 2, part 3
• Lecture 4
• Lecture 5
• Lecture 6
• Lecture 7
• Lecture 8
• Lecture 9
• Lecture 10
• Lecture 11

• Boyd, S., Boyd, S.P. and Vandenberghe, L., 2004. Convex optimization. Cambridge university press. https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf
• Kevin M.. Lynch and Park, F.C., 2017. Modern Robotics: Mechanics, Planning, and Control. Cambridge University Press. http://hades.mech.northwestern.edu/images/7/7f/MR.pdf
• Siciliano, B., Sciavicco L. Villani L. & Oriolo G.,(2009) Robotic–Modelling, Planning and Control. https://www.academia.edu/23785978/B_Sicilliano_Robotics_Modelling_Planning_and_Control

• Lecture 2, 3:
  • 3Blue1Brown: Inverse matrices, column space and null space | Essence of linear algebra, chapter 7
  • Null Space, Column Space, Row Space
• Lecture 11:
  • Mixed-integer support in CVX 2.0
  • Footstep Planning on Uneven Terrain with Mixed-Integer Convex Optimization

Pull requests with suggestions and improvements, however small or big, are welcome!

The changes in lecture slides are going through an automated check.

The PDFs are compiled and updated automatically when PR is merged (thanks to k1rill-fedoseev from the Linear Control class!). You don't need to update them manually. They are also uploaded as workflow artifacts for every new commit pushed into this repository. You can use them to see your changes.

Consider adding *.pdf to the .git/info/exclude file on your local repo. Here is the overy long but helpful description why it works