Take the 2-minute tour ×
Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. It's 100% free, no registration required.

I know Boyd's famous Convex Optimization, but for me it's a little bit old because it was written in 2003 and some progresses have been made during this decade. The book Optimization for Machine Learning fill the gap nicely but it's not a textbook: the chapters are independent, and it doesn't have exercises. So any recommendations for textbooks on modern optimization? Thanks.

share|improve this question
add comment

1 Answer

"Convex Optimization" is a good book. The first part covers mathematical formulations of optimization methods and concentrates on theoretical aspects of methods. The second part mentions in details algorithmic aspects.

You can also refer to "Nonlinear Programming" by Dimitri P. Bertsekas and it has assignments too. This is a great book for anyone who wants to deepen into the details.

share|improve this answer
add comment

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.