Relaxed optimality conditions for mu-differentiable functions
Ricardo Almeida, Delfim F. M. Torres

TL;DR
This paper explores fundamental properties of mu-differentiable functions, introducing new notions of local extrema and formulating extremum conditions using nonstandard analysis techniques.
Contribution
It introduces a novel concept of local extrema for mu-differentiable functions and establishes extremum conditions within a nonstandard analysis framework.
Findings
New notion of local minimizer and maximizer
Formulation of extremum conditions using nonstandard analysis
Fundamental properties of mu-differentiable functions
Abstract
We prove some fundamental properties of mu-differentiable functions. A new notion of local minimizer and maximizer is introduced and several extremum conditions are formulated using the language of nonstandard analysis.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical and Theoretical Analysis · Computability, Logic, AI Algorithms · History and Theory of Mathematics
