Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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EUR 66,67
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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EUR 69,12
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Idioma: Inglés
Publicado por Cambridge University Press, GB, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 81,54
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,31
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Añadir al carritoCondición: New. pp. xix + 515 2nd edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Chiron Media, Wallingford, Reino Unido
EUR 63,43
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Añadir al carritopaperback. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 65,55
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 77,72
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Añadir al carritoCondición: New. pp. xix + 515.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 76,43
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
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Añadir al carritoCondición: New. 2023. 2nd ed. paperback. . . . . . Books ship from the US and Ireland.
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 535 pages. 9.61x6.69x1.08 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press Sep 2023, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 74,25
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Añadir al carritoTaschenbuch. Condición: 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'--.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Rarewaves.com UK, London, Reino Unido
EUR 75,86
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 124,62
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 69,00
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 68,56
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 535 pages. 9.61x6.69x1.08 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 73,44
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: Majestic Books, Hounslow, Reino Unido
EUR 99,44
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. xix + 515.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009366807 ISBN 13: 9781009366809
Librería: CitiRetail, Stevenage, Reino Unido
EUR 89,15
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.