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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2024
Genre:	Schulbücher
	Adaptive Algorithms / Artificial Intelligence / Control and Systems Theory / Control theory / dynamical systems view of algorithms / game theory / Künstliche Intelligenz / Learning Algorithms / Management# Entscheidungstheorie / ODE approach to stochastic approximation / Operations Research and Decision Theory / Probability Theory / Regelungstechnik / sequential statistical methods / Spieltheorie / Statistical Theory and Methods / stochastic approximation / Stochastik / Unternehmensforschung mehr...
ISBN:	9789819982769
EAN-Code:	9789819982769
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 21 mm
Gewicht:	659 gr
Seiten:	273
Illustration:	XV, 273 p. 2 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book serves as an advanced text for a graduate course on stochastic algorithms for the students of probability and statistics, engineering, economics and machine learning. This second edition gives a comprehensive treatment of stochastic approximation algorithms based on the ordinary differential equation (ODE) approach which analyses the algorithm in terms of a limiting ODE. It has a streamlined treatment of the classical convergence analysis and includes several recent developments such as concentration bounds, avoidance of traps, stability tests, distributed and asynchronous schemes, multiple time scales, general noise models, etc., and a category-wise exposition of many important applications. It is also a useful reference for researchers and practitioners in the field.