Convex optimization additional exercises solutions

  • How do you maximize a convex function?

    (easy to find it) • Maximum of concave function can be reached by gradient ascent Gradient descent is a first-order iterative optimization algorithm for finding the minimum/maximum of a function..

  • Convex optimization has many applications in various fields such as Machine Learning, Control systems, Signal processing, statistics, and many others.

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