4 ms·

This book is truly wonderful. Probably my favorite math book. Those of you who may be interested in convex optimization may want to take a look at these "MIT O

by Rod 18y ago

This book is truly wonderful. Probably my favorite math book. Those of you who may be interested in convex optimization may want to take a look at these "MIT OCW-like" pages: http://see.stanford.edu/SEE/courseinfo.aspx?coll=2db7ced4-39d1-4fdb-90e8-364129597c87 http://see.stanford.edu/SEE/courseinfo.aspx?coll=2db7ced4-39... http://see.stanford.edu/SEE/courseinfo.aspx?coll=523bbab2-dcc1-4b5a-b78f-4c9dc8c7cf7a http://see.stanford.edu/SEE/courseinfo.aspx?coll=523bbab2-dc... and those who are interested in convex optimization and Python programming, might want to take a look at these: http://abel.ee.ucla.edu/cvxopt http://abel.ee.ucla.edu/cvxopt http://cvxmod.net http://cvxmod.net

pz 18y ago
i second this. this is probably my favorite text book behind Mackay's "Information Theory, Inference, and Learning Algorithms". if you take the time to honestly follow the text you come away with a great understanding of convex optimization... both the theory and the methods.
- Rod 18y ago
  Now that you've reminded me of Mackay's equally wonderful book, I can't decide which of these two is my favorite ;-) All math books should be like these two gems. I never get tired of reading them.
- maximilian 18y ago
  It seems to be available for free online as well: http://www.inference.phy.cam.ac.uk/mackay/itila/book.html http://www.inference.phy.cam.ac.uk/mackay/itila/book.html