A mu-differentiable Lagrange multiplier rule
Ricardo Almeida, Delfim F. M. Torres

TL;DR
This paper explores properties of mu-differentiable functions and demonstrates how the Lagrange multiplier method can be applied within this context, extending classical optimization techniques.
Contribution
It introduces the concept of mu-differentiability and applies the Lagrange multiplier rule to this new class of functions, providing a theoretical extension.
Findings
Properties of the gradient of mu-differentiable functions
Application of Lagrange multipliers to mu-differentiable functions
Extension of classical optimization methods
Abstract
We present some properties of the gradient of a mu-differentiable function. The Method of Lagrange Multipliers for mu-differentiable functions is then exemplified.
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 · Mathematical Analysis and Transform Methods · Advanced Topology and Set Theory
