Brezplačna dostava za naročila nad 69,99 € na prevzemna mesta DPD in Express One.

Preverjanje stanja naročila

Postanite del skupnosti ljubiteljev knjig z vsega sveta in uživajte v številnih ugodnostih. Ustvarite brezplačen račun

Brezplačna dostava Zásilkovna nad 69.99 €

Zbirna točka GLS 4.49 € Zbirna točka DPD 2.99 € Kurirska služba GLS 5.49 € Kurir DPD 3.49 € Kurirska služba Express One 3.49 € Zbirno mesto Express One 3.49 € Zbirno mesto Pošte Slovenije 3.49 € Dostava preko Pošte Slovenije 3.49 €

Kontakt

Kako nakupovati

Pomoč

Moj račun

▸ Prazna :-(

Brezplačna dostava za naročila nad 69,99 € na prevzemna mesta DPD in Express One.

Stochastic Approximation: A Dynamical Systems Viewpoint

Name: Stochastic Approximation: A Dynamical Systems Viewpoint
Brand: Springer
SKU: 45082050
Price: 90.11 EUR
Availability: InStock
Author: Vivek S. Borkar
ISBN: 9789819982776

Vivek S. Borkar

Jezik

Angleščina

E-knjiga Adobe ePub DRM

Založba Springer, januar 2024

This book serves as an advanced text for a graduate course on stochastic algorithms for the students... Celoten opis

Koda Libristo: 45082050

219 b

90.11 €

Na zalogi Prenesi zdaj

Drugi so kupili tudi

La communication de crise - 6e ed. Thierry Libaert

Adobe ePub DRM

10.15 €

Cortines Dalba Primera

Mehka

23.21 €

Les femmes et leur sexe Beltran

Mehka

11.05 €

Überwinde deinen inneren Schweinehund Fabian Pscherer

Adobe ePub DRM

7.83 €

Pořadí narození Cliff Isaacson

Mehka

7.73 €

Historias Extrañas Eduardo Capistrano

Adobe ePub DRM

2.71 €

Šanon A4 s nýty D216 Pull Up Hnědý

binding.

67.95 €

N N N (Malenkij princ) Antuan de Sent-Ekzjuperi

Adobe ePub DRM

2.30 €

Kosmos, civilizace a křesťanství Václav Ryneš

Trda

10.95 €

BL Forever vs. No More BL 01 Tabea Kamada

Mehka

6.52 €

GIUSEPPE TARTINI: VOLUME 21B: SONATE DEL VOLUME AUTOGRAFO, N.24-26 E SENZA NUMERO PER VIOLINO E BASS TARTINI Knjiga

binding.

26.73 €

Mein Leben in der Sonne und im Sturm Siggi Müller

Trda

17.69 €

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.