Stochastic Optimization Methods

Kurt Marti ()
Additional contact information
Kurt Marti: Federal Armed Forces University Munich

in Springer Books from Springer

Date: 2024
Edition: 4th ed. 2024
ISBN: 978-3-031-40059-9
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Stochastic Optimization Methods

Kurt Marti

Ch Chapter 10 Adaptive Optimal Stochastic Trajectory Planning and Control (AOSTPC)

Kurt Marti

Ch Chapter 11 Machine Learning Under Stochastic Uncertainty

Kurt Marti

Ch Chapter 12 Stochastic Structural Optimization with Quadratic Loss Functions

Kurt Marti

Ch Chapter 13 Maximum Entropy Techniques

Kurt Marti

Ch Chapter 2 Solution of Stochastic Linear Programs by Discretization Methods

Kurt Marti

Ch Chapter 3 Optimal Control Under Stochastic Uncertainty

Kurt Marti

Ch Chapter 4 Random Search Methods for Global Optimization—Basics

Kurt Marti

Ch Chapter 5 Controlled Random Search Methods as a Stochastic Decision Process

Kurt Marti

Ch Chapter 6 Applications to Random Search Methods with Joint Normal Search Variates

Kurt Marti

Ch Chapter 7 Random Search Methods with Multiple Search Points

Kurt Marti

Ch Chapter 8 Approximation of Feedback Control Systems

Kurt Marti

Ch Chapter 9 Stochastic Optimal Open-Loop Feedback Control

Kurt Marti

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-031-40059-9

Ordering information: This item can be ordered from
http://www.springer.com/9783031400599

DOI: 10.1007/978-3-031-40059-9

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().