Karush-Kuhn-Tucker conditions and Lagrangian approach for improving machine learning techniques: A survey and new developments
In this work we propose new proofs of some classical results of nonlinear programming milestones, in particular for the Kuhn-Tucker conditions and Lagrangian methods and functions. This study is concerned with some interesting features found in the well-known tools and methods, connecting them with...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Accademia Peloritana dei Pericolanti
2024-01-01
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| Series: | Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali |
| Online Access: |
http://dx.doi.org/10.1478/AAPP.1021A1
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