Optimization and learning via stochastic gradient search

An introduction to gradient-based stochastic optimization that integrates theory and implementation This book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic approximation and gradient estimation.Although the approach is theoretical, the book emphasizes de...

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Bibliographic Details
Main Author: Vázquez-Abad, Felisa
Other Authors: Heidergott, Bernd
Format: Electronic eBook
Language:English
Published: Princeton : Princeton University Press, 2025.
Series:Princeton series in applied mathematics.
Subjects:
Description
Summary:An introduction to gradient-based stochastic optimization that integrates theory and implementation This book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic approximation and gradient estimation.Although the approach is theoretical, the book emphasizes developing algorithms that implement the methods.
Item Description:Description based upon print version of record.
Physical Description:1 online resource (433 p.).
ISBN:9780691245874 (electronic bk.)
0691245878