Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering) - Image 1

£107.42

Springer Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)

Name: Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)
Brand: Springer
Price: 107.42 GBP
Availability: InStock

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£107 today · previous high £107 · all-time low £107

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 40 days • 40 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 40 days • 1 price levels

Days at Price

Price Analysis

Most common price: £107 (40 days, 100.0%)

Price range: £107 - £107

Price levels: 1 different prices over 40 days

Description

This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. A major part of the text is devoted to application of the theory with a range of applications from systems and control theory to psychometrics being described. Special knowledge of the application fields is not required. The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of: • variable projection for structured low-rank approximation;• missing data estimation;• data-driven filtering and control;• stochastic model representation and identification;• identification of polynomial time-invariant systems; and• blind identification with deterministic input model. The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^® /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis. “Each chapter is completed with a new section of exercises to which complete solutions are provided.” Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319896199
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 17 August 2018
Listed Since: 08 March 2018

Barcode

No barcode data available

Springer Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Model Reduction of Parametrized Systems: 17 (MS&A, 17)

Optimal and Robust Control: Advanced Topics with MATLAB®

Adaptive Learning Methods for Nonlinear System Modeling

An Engineering Approach to Optimal Control and Estimation Theory

Linear Systems Theory (Systems Engineering)

Advanced Linear Algebra for Engineers with MATLAB

Linear Algebra for Control Theory: 62 (The IMA Volumes in Mathematics and its Applications, 62)

Nonlinear System I: Proceedings of the 14th World Congress, International Federation of Automatic Control, Beijing, P.R. China, 5-9 July 1999 (IFAC ... Volumes) (IFAC Proceedings Volumes, Volume F)

Linear Systems: Non-Fragile Control and Filtering

Linear Systems: Non-Fragile Control and Filtering

Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)

Computer Controlled Systems: Theory and Applications: 8 (Intelligent Systems, Control and Automation: Science and Engineering, 8)

Birkhauser Stochastic Networked Control Systems Book

Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models

Robust and Adaptive Control: With Aerospace Applications (Advanced Textbooks in Control and Signal Processing)

Optimization and Dynamical Systems (Communications and Control Engineering)

Linear Systems Theory – Second Edition

CRC Press Linear Systems: Optimal and Robust Control Textbook

An Operator Perspective on Signals and Systems: 204 (Operator Theory: Advances and Applications, 204)

Robust Control of Linear Systems Subject to Uncertain Time-Varying Parameters: 325 (Lecture Notes in Control and Information Sciences, 325)

Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach: 91 (Studies in Systems, Decision and Control)

Linear Parameter-Varying and Time-Delay Systems: Analysis, Observation, Filtering & Control: 3 (Advances in Delays and Dynamics, 3)

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett (Volume 212) (Mathematics in Science and Engineering, Volume 212)

Introduction to Modern Controls: with Illustrations in MATLAB and Python