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Solving Optimization Problems with the Heuristic Kalman Algorithm New Stochastic Methods /

This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems. The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic Kalm...

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Bibliographische Detailangaben
1. Verfasser: Toscano, Rosario (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing : Imprint: Springer, 2024.
Ausgabe:1st ed. 2024.
Schriftenreihe:Springer Optimization and Its Applications, 212
Schlagworte:
Mathematical optimization.
Algorithms.
Optimization.
Online-Zugang:https://doi.org/10.1007/978-3-031-52459-2
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Inhaltsangabe:
  • 1 Introduction
  • 2 Stochastic Optimization Methods
  • 3 Heuristic Kalman Algorithm
  • 4 Some Notions on System Modeling
  • 5 Robust Control of Uncertain Parametric Systems
  • 6 Preventive Maintenance
  • 7 Machine Learning
  • 8 Conclusion
  • A Signal and System Norms
  • B Convergence Properties of the HKA and Program Code
  • References
  • Index.

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