Mathematical Optimization for Machine Learning
Overview & Synopsis
Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.
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Document Information
| Document Title | Mathematical Optimization for Machine Learning |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | Mathematical optimization |
| Categories | Open Access Books |
| Publication Year | 2025 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-90060 |
| Original Source Link | Visit Source Page on www.doabooks.org » |