News for hackers. Stuff that matters.
Re:More Descent, Less Gradient by rmrfstar on Wednesday April 29, 2020 @12:57PM (#23021393)
Another amazing resource is [1]. Seriously one of the best purchases I have ever made, and I spend a lot more on books than I should.

[1] https://mitpress.mit.edu/books/algorithms-optimization

Re:More Descent, Less Gradient by sandeeps_ on Thursday April 30, 2020 @12:34PM (#23032798)
Awesome! I have always been looking for a book like this. Thanks for sharing. A quick look at the book tells me that this is a handbook of different optimization techniques that can be used under different conditions. Do you know if there's a python/matlab version of the examples mentioned in the book?
Re:More Descent, Less Gradient by rmrfstar on Thursday April 30, 2020 @12:45PM (#23032961)
The book ships with Julia examples, but most of the algorithms are available in cvxpy [1], scipy.optimize [2] and matlab optimization toolboxes [3].

[1] https://www.cvxpy.org/

[2] https://docs.scipy.org/doc/scipy/reference/tutorial/optimize...

[3] https://www.mathworks.com/products/optimization.html