Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Lingua: Inglese
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ISBN 10: 1009366807 ISBN 13: 9781009366809
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Lingua: Inglese
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Aggiungi al carrelloPaperback. Condizione: New. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. xix + 515 2nd edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: Chiron Media, Wallingford, Regno Unito
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Lingua: Inglese
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Lingua: Inglese
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Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 535 pages. 9.61x6.69x1.08 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press Sep 2023, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 74,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 'This concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering several types of graphs, it provides the mathematical foundation needed to understand and apply spectral insight to real-world communications systems and complex networks'--.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: Rarewaves.com UK, London, Regno Unito
EUR 75,86
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Aggiungi al carrelloPaperback. Condizione: New. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 124,62
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering several types of graphs, it provides the mathematical foundation needed to understand and apply spectral insight to real-world communications systems and complex networks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering several types of graphs, it provides the mathematical foundation needed to understand and apply spectral insight to real-world communications systems and complex networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 68,56
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 535 pages. 9.61x6.69x1.08 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 73,44
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: Majestic Books, Hounslow, Regno Unito
EUR 99,44
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Aggiungi al carrelloCondizione: New. Print on Demand pp. xix + 515.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Da: CitiRetail, Stevenage, Regno Unito
EUR 89,15
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, with linear algebra and the theory of polynomials developed in the later parts. The book focuses on properties and bounds for the eigenvalues of the adjacency, Laplacian and effective resistance matrices of a graph. The goal of the book is to collect spectral properties that may help to understand the behavior or main characteristics of real-world networks. The chapter on spectra of complex networks illustrates how the theory may be applied to deduce insights into real-world networks. The second edition contains new chapters on topics in linear algebra and on the effective resistance matrix, and treats the pseudoinverse of the Laplacian. The latter two matrices and the Laplacian describe linear processes, such as the flow of current, on a graph. The concepts of spectral sparsification and graph neural networks are included. This concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering several types of graphs, it provides the mathematical foundation needed to understand and apply spectral insight to real-world communications systems and complex networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.