
TL;DR
This paper identifies the optimal descent direction for convex functions and develops an algorithm capable of minimizing certain non-convex functions by leveraging this direction.
Contribution
It introduces a method to find the best descent direction for convex functions and extends it to minimize some non-convex functions.
Findings
Optimal descent direction for convex functions identified
Algorithm successfully minimizes a subset of non-convex functions
Theoretical guarantees provided for the proposed method
Abstract
We identity the optimal non-infinitesimal direction of descent for a convex function. An algorithm is developed that can theoretically minimize a subset of (non-convex) functions.
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Taxonomy
TopicsMathematics and Applications
