https://github.com/arminarj/convex-optimization-boyd
This is CVXPY implementation of convex optimization additional problems
https://github.com/arminarj/convex-optimization-boyd
boyd convex convex-extra-exercise convex-optimization cvxpy cvxpy-notebook ee364a optimization optimization-problem soloution-links
Last synced: 10 months ago
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This is CVXPY implementation of convex optimization additional problems
- Host: GitHub
- URL: https://github.com/arminarj/convex-optimization-boyd
- Owner: arminarj
- Created: 2020-05-01T15:05:29.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-23T20:58:49.000Z (about 6 years ago)
- Last Synced: 2023-10-20T08:49:14.308Z (over 2 years ago)
- Topics: boyd, convex, convex-extra-exercise, convex-optimization, cvxpy, cvxpy-notebook, ee364a, optimization, optimization-problem, soloution-links
- Language: Jupyter Notebook
- Homepage:
- Size: 66.4 KB
- Stars: 4
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# convex-optimization:
This is CVXPY implementation of convex optimization additional problems.
### notes:
- There is no guarantee for most of the solutions.
- This repo will be incomplete, but I'll try my best to implement some essential problom of every chapter of the book in Python.
- If you find any mistakes or find alternate solution or anything please send a pull request and help me to keep the list up to date.
## Problems:
### Minimum fuel optimal control (3.17):
soloution links : [[CVX-solution]](https://see.stanford.edu/materials/lsocoee364a/hw4sol.pdf)
[[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Minimum%20fuel%20optimal%20control.ipynb)
### Flux balance analysis in systems biology (18.3):
soloution links : [[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Flux_balance_analysis_in_systems_biology.ipynb)
## Problems ( Not complete ):
This section contains some of my solutions which are not complete yet.
### Online advertising displays (18.4):
soloution links : [[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Online_advertising_displays.ipynb)
### Optimal material blending (18.14):
soloution links : [[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Optimal_material_blending.ipynb)
### Standard form LP barrier method (9.5):
soloution links : [[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Standard_form_LP_barrier_method.ipynb)
### Planning production with uncertain demand (14.11):
soloution links : [[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Planning_production_with_uncertain_demand.ipynb)
### Theory applications split in a course (18.12):
soloution links : [[CVXPY-Notebook]](https://github.com/arminarj/convex-optimization-boyd/blob/master/Theory_applications_split_in_a_course.ipynb)
## Appendix:
### book examples source code:
convex optimization Stephen Boyd and Lieven Vandenberghe : [[page]](http://stanford.edu/~boyd/cvxbook/)
CVXOPT page : [[CVXPOT-exmaples]](http://cvxopt.org/examples/index.html#book-examples)