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Algorithms for Sparsity-Constrained Optimization (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R4,313
Discovery Miles 43 130
Algorithms for Sparsity-Constrained Optimization (Paperback, Softcover reprint of the original 1st ed. 2014): Sohail Bahmani

Algorithms for Sparsity-Constrained Optimization (Paperback, Softcover reprint of the original 1st ed. 2014)

Sohail Bahmani

Series: Springer Theses, 261

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Loot Price R4,313 Discovery Miles 43 130 | Repayment Terms: R404 pm x 12*

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This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses, 261
Release date: August 2016
First published: 2014
Authors: Sohail Bahmani
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Paperback
Pages: 107
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-319-37719-3
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-37719-1
Barcode: 9783319377193

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