Optimization Methods Books

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I'm interested in learning about optimization methods and how we can implement them in Machine Learning problems.  Which books shall I begin to read in order to understand classical and modern optimization methods deeply?

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When it comes to optimisation theory these two books are the most recognizable:

  1. Convex Optimization, Stephen Boyd
  2. Numerical Optimization, Jorge Nocedal Stephen J. Wright

From my side I would strongly recommend a Northwestern University Open Text Book on Process Optimization which is a concise summary/overview of optimisation techniques and examples of use, but is not as detailed and rigorous as the first two.