Le livre est actuellement en rupture de stock
Paramètres
- 268pages
- 10 heures de lecture
En savoir plus sur le livre
Focusing on stochastic approximation algorithms, this advanced text offers a comprehensive analysis using the ordinary differential equation (ODE) approach. The second edition enhances classical convergence analysis and introduces recent developments like concentration bounds and stability tests. It covers distributed schemes, multiple time scales, and various noise models, while also categorizing key applications. This book serves as both a graduate course resource and a valuable reference for researchers and practitioners in probability, statistics, engineering, economics, and machine learning.
Achat du livre
Stochastic Approximation: A Dynamical Systems Viewpoint, Vivek S. Borkar
- Langue
- Année de publication
- 2024
- product-detail.submit-box.info.binding
- (souple)
Nous vous informerons par e-mail dès que nous l’aurons retrouvé.
Modes de paiement
Il manque plus que ton avis ici.
- Langue
- Anglais
- Auteurs
- Vivek S. Borkar
- Éditeur
- Springer Nature Singapore
- Publié
- 2024
- Format
- souple
- Pages
- 268
- ISBN13
- 9789819982738
- Séries
- Évaluation
- 4 sur 5
- Description
- Focusing on stochastic approximation algorithms, this advanced text offers a comprehensive analysis using the ordinary differential equation (ODE) approach. The second edition enhances classical convergence analysis and introduces recent developments like concentration bounds and stability tests. It covers distributed schemes, multiple time scales, and various noise models, while also categorizing key applications. This book serves as both a graduate course resource and a valuable reference for researchers and practitioners in probability, statistics, engineering, economics, and machine learning.