Sparse optimization theory and methods /

Sparse optimization theory and methods /

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Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing. The efficient sparse representation becomes central in various big or high-dimensional data processing, yielding fruitful theoretical and realistic res...

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Bibliographic Details
Main Author: Zhao, Yun-Bin (Author)
Corporate Authors: Taylor & Francis, Taylor and Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018.
Edition:First edition.
Subjects:
Mathematical optimization.
MATHEMATICS / Applied.
MATHEMATICS / Probability & Statistics / General.
BUSINESS & ECONOMICS / Statistics.
MATHEMATICS / Arithmetic.
Convex Optimization.
Dantzig Selector.
Data Reconstruction.
L1-Minimization.
Lasso.
Linear Optimization.
Null Space Property.
RSP.
Range Space Property.
Sparse Representation.
Sparse Signal Recovery.
Electronic books.
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Call Number: QA402.5
 
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