£121.64

Springer - Distributed Optimization in Networked Systems Book

Name: Springer - Distributed Optimization in Networked Systems Book
Brand: Springer
Price: 121.64 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£122 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 34 days • 34 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 34 days • 1 price levels

Days at Price

Price Analysis

Most common price: £122 (34 days, 100.0%)

Price range: £122 - £122

Price levels: 1 different prices over 34 days

Description

Expand your knowledge of advanced computational methods with Distributed Optimization in Networked Systems: Algorithms and Applications. Published by Springer as part of the Wireless Networks series, this academic resource focuses on the essential algorithms used in modern networked environments. This book serves as a technical guide for those studying or working within the fields of Computer Science, AI, and Machine Learning. It provides a structured look at how optimization processes function across distributed systems, making it a valuable addition to any professional or academic library focused on computing and internet technologies. Designed for researchers and students, this text addresses the complex requirements of networked systems. By integrating theoretical foundations with practical applications, it helps readers understand the mechanics of distributed optimization within the context of wireless networks. Whether you are studying machine learning or network architecture, this Springer publication provides the technical depth needed to navigate contemporary computing challenges.

Key Features

Part of the specialized Wireless Networks series from Springer for technical depth.

Focuses on algorithms and applications within distributed optimization frameworks.

Relevant for advanced studies in AI, Machine Learning, and Computer Science.

Provides technical insights into the management of networked systems.

A professional resource for computing and internet technology research.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9811985618
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 10 February 2024
Listed Since: 14 January 2024

Barcode

No barcode data available

Springer - Distributed Optimization in Networked Systems Book

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Optimization Techniques for Sustainable Environment Under Uncertainty (Engineering Optimization: Methods and Applications)

Optimization Methods for Structural Engineering (Engineering Optimization: Methods and Applications)

Distributed Optimization and Learning: A Control-Theoretic Perspective

Optimization Techniques in Engineering: Advances and Applications (Sustainable Computing and Optimization)

Optimization Models in Software Reliability (Springer Series in Reliability Engineering)

Optimization of Industrial Systems

Fundamentals of Structural Optimization: Stability and Contact Mechanics (Mathematical Engineering)

Fundamentals of Structural Optimization: Stability and Contact Mechanics (Mathematical Engineering)

Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications (Machine Learning: Foundations, Methodologies, and Applications)

AI-Based Advanced Optimization Techniques for Edge Computing

Supercomputer Applications

Fundamentals of Structural Optimization (II): Shape, Anisotropy, Topology (Mathematical Engineering)

Frontiers in Nature-Inspired Industrial Optimization (Springer Tracts in Nature-Inspired Computing)

Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation

Engineering Adaptive Software Systems: Communications of NII Shonan Meetings

Nichtlineare Systeme und Regelungen

Data Driven Model Learning for Engineers: With Applications to Univariate Time Series

Advanced Spiking Neural P Systems: Models and Applications (Computational Intelligence Methods and Applications)

Robotic Bin Picking for Potentially Tangled Objects (Springer Series in Advanced Manufacturing)

Truss Optimization: A Metaheuristic Optimization Approach

Truss Optimization: A Metaheuristic Optimization Approach

Nature-Inspired Algorithms and Applied Optimization: 744 (Studies in Computational Intelligence, 744)

Uncertain Graph and Network Optimization (Springer Uncertainty Research)

Achieving Quality Software: Including Its Application to Safety-Related Systems