Sparse Optimization Theory and Methods Author - 8 Angebote vergleichen

Lieferung aus: Vereinigte Staaten von Amerika, Not yet published, free shipping for AmazonPrime only. Regular USD 4.98.
Von Händler/Antiquariat, Amazon.com.
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 results in these fields. The mathematical optimization plays a fundamentally important role in the development of these results and acts as the mainstream numerical algorithms for the sparsity-seeking problems arising from big-data processing, compressed sensing, statistical learning, computer vision, and so on. This has attracted the interest of many researchers at the interface of engineering, mathematics and computer science. Sparse Optimization Theory and Methods presents the state of the art in theory and algorithms for signal recovery under the sparsity assumption. The up-to-date uniqueness conditions for the sparsest solution of underdertemined linear systems are described. The results for sparse signal recovery under the matrix property called range space property (RSP) are introduced, which is a deep and mild condition for the sparse signal to be recovered by convex optimization methods. This framework is generalized to 1-bit compressed sensing, leading to a novel sign recovery theory in this area. Two efficient sparsity-seeking algorithms, reweighted l1-minimization in primal space and the algorithm based on complementary slackness property, are presented. The theoretical efficiency of these algorithms is rigorously analysed in this book. Under the RSP assumption, the author also provides a novel and unified stability analysis for several popular optimization methods for sparse signal recovery, including l1-mininization, Dantzig selector and LASSO. This book incorporates recent development and the author’s latest research in the field that have not appeared in other books., Hardcover, Edition: 1, Label: CRC Press, CRC Press, Product group: Book, Published: 2018-06-26, Release date: 2018-09-15, Studio: CRC Press.

Lieferung aus: Vereinigte Staaten von Amerika, In magazzino, più spese di spedizione.
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 results in these fields. The mathematical optimization plays a fundamentally important role in the development of these results and acts as the mainstream numerical algorithms for the sparsity-seeking problems arising from big-data processing, compressed sensing, statistical learning, computer vision, and so on. This has attracted the interest of many researchers at the interface of engineering, mathematics and computer science.Sparse Optimization Theory and Methods presents the state of the art in theory and algorithms for signal recovery under the sparsity assumption. The up-to-date uniqueness conditions for the sparsest solution of underdertemined linear systems are described. The results for sparse signal recovery under the matrix property called range space property (RSP) are introduced, which is a deep and mild condition for the sparse signal to be recovered by convex optimization methods. This framework is generalized to 1-bit compressed sensing, leading to a novel sign recovery theory in this area. Two efficient sparsity-seeking algorithms, reweighted l1-minimization in primal space and the algorithm based on complementary slackness property, are presented. The theoretical efficiency of these algorithms is rigorously analysed in this book. Under the RSP assumption, the author also provides a novel and unified stability analysis for several popular optimization methods for sparse signal recovery, including l1-mininization, Dantzig selector and LASSO. This book incorporates recent development and the author’s latest research in the field that have not appeared in other books.

Lieferung aus: Niederlande, 3-4 werkdagen.
bol.com.
Woo's Oral Pathology the first comprehensive, richly illustrated atlas of oral pathology that provides the full histologic range of presentation of mucosal disease. Board certified in both oral pathology and oral medicine, Dr. Sook-Bin Woo draws on her extensive clinical experience to help you achieve diagnostic certainty. Each condition is illustrated with clinical photographs and high-quality photomicrographs, while a management section for all entities provides further guidance. Oral Patholog..., Woo's Oral Pathology the first comprehensive, richly illustrated atlas of oral pathology that provides the full histologic range of presentation of mucosal disease. Board certified in both oral pathology and oral medicine, Dr. Sook-Bin Woo draws on her extensive clinical experience to help you achieve diagnostic certainty. Each condition is illustrated with clinical photographs and high-quality photomicrographs, while a management section for all entities provides further guidance. Oral Pathology provides all the knowledge you need to accurately identify even the most challenging lesions. High-quality clinical photographs and photomicrographs capture the characteristic presentation of all types of neoplastic, dysplastic, and benign mucosal disease. Brief descriptions of clinical management for each disease entity help you understand the implications of your diagnoses. Expert Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, images, virtual microscope slides, and references from the book on a variety of devices. Approximately 50 virtual microscope slides allow users to see slides of entire cases presented in the book.Includes a new chapter on lymphoid malignancies.Features new coverage of paracoccidioidomycosis and blastomycosis.Includes pathology of lesions, clinical photographs, high-quality photomicrographs, and brief discussions of clinical management.Taal: Engels;Afmetingen: 25x281x222 mm;Gewicht: 1,77 kg;Verschijningsdatum: november 2016;Druk: 1;ISBN10: 0323390544;ISBN13: 9780323390545; Engelstalig | Hardcover | 2016.

Lieferung aus: Deutschland, zzgl. Versandkosten, Erscheint demnächst (Neuerscheinung).
A Comprehensive Atlas and Text, Woo's Oral Pathology the first comprehensive, richly illustrated atlas of oral pathology that provides the full histologic range of presentation of mucosal disease. Board certified in both oral pathology and oral medicine, Dr. Sook-Bin Woo draws on her extensive clinical experience to help you achieve diagnostic certainty. Each condition is illustrated with c linical photographs and high-quality photomicrographs , while a management section for all entities provides further guidance. Oral Pathology provides all the knowledge you need to accurately identify even the most challenging lesions.

Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Sparse-Optimization-Theory-and-Methods~~Yun-Bin-Zhao, Sparse Optimization Theory and Methods, Hardcover.

Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Oral-Pathology~~Sook-Bin-Woo, Oral Pathology: A Comprehensive Atlas and Text, Hardcover.

Lieferung aus: Kanada, Versandkosten nach: CHE.
Von Händler/Antiquariat, Russell Books Ltd.
Elsevier. Hardcover. 0323390544 Special order direct from the distributor . New.

Lieferung aus: Vereinigte Staaten von Amerika, Not yet published.
Von Händler/Antiquariat, Amazon.com.
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