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Ajouter au panierhardcover. Etat : Very Good.
Edité par Springer International Publishing AG, 2021
ISBN 10 : 3030528146 ISBN 13 : 9783030528140
Langue: anglais
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Ajouter au panierEtat : Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.
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Ajouter au panierEtat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030528170 ISBN 13 : 9783030528171
Langue: anglais
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Edité par Springer Nature Switzerland AG, 2021
ISBN 10 : 3030528146 ISBN 13 : 9783030528140
Langue: anglais
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Springer Nature Switzerland AG, 2021
ISBN 10 : 3030528146 ISBN 13 : 9783030528140
Langue: anglais
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Ajouter au panierEtat : New. pp. 512.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030528170 ISBN 13 : 9783030528171
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Edité par Springer Nature Switzerland AG, Cham, 2021
ISBN 10 : 3030528146 ISBN 13 : 9783030528140
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors. Concepts draw on concrete examples throughout, offering accessible pathways to advanced techniques.Beginning with a study of vector spaces that includes coordinates, isomorphisms, orthogonality, and projections, the book goes on to focus on matrix decompositions. Numerous decompositions are explored, including the Shur, spectral, singular value, and Jordan decompositions. In each case, the author ties the new technique back to familiar ones, to create a coherent set of tools. Tensors and multilinearity complete the book, with a study of the Kronecker product, multilinear transformations, and tensor products. Throughout, Extra Topic sections augment the core content with a wide range of ideas and applications, from the QR and Cholesky decompositions, to matrix-valued linear maps and semidefinite programming. Exercises of all levels accompany each section.Advanced Linear and Matrix Algebra offers students of mathematics, data analysis, and beyond the essential tools and concepts needed for further study. The engaging color presentation and frequent marginal notes showcase the authors visual approach. A first course in proof-based linear algebra is assumed. An ideal preparation can be found in the authors companion volume, Introduction to Linear and Matrix Algebra. This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 64,21
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Ajouter au panierEtat : New. pp. 512.
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Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030528170 ISBN 13 : 9783030528171
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
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Ajouter au panierEtat : New. 2022. 1st ed. 2021. Paperback. . . . . .
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Ajouter au panierHardcover. Etat : Brand New. 494 pages. 10.00x7.25x1.25 inches. In Stock.
EUR 74,73
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Ajouter au panierPaperback. Etat : New. 1st ed. 2021. Special order direct from the distributor.
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030528170 ISBN 13 : 9783030528171
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 83,93
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Ajouter au panierEtat : New. 2022. 1st ed. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Edité par Springer International Publishing, 2022
ISBN 10 : 3030528170 ISBN 13 : 9783030528171
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 58,84
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors. Concepts draw on concrete examples throughout, offering accessible pathways to advanced techniques.Beginning with a study of vector spaces that includes coordinates, isomorphisms, orthogonality, and projections, the book goes on to focus on matrix decompositions. Numerous decompositions are explored, including the Shur, spectral, singular value, and Jordan decompositions. In each case, the author ties the new technique back to familiar ones, to create a coherent set of tools. Tensors and multilinearity complete the book, with a study of the Kronecker product, multilinear transformations, and tensor products. Throughout, 'Extra Topic' sections augment the core content with a wide range of ideas and applications, from the QR and Cholesky decompositions, to matrix-valued linear maps and semidefinite programming. Exercises of all levels accompany each section.Advanced Linear and Matrix Algebra offers students of mathematics, data analysis, and beyond the essential tools and concepts needed for further study. The engaging color presentation and frequent marginal notes showcase the author's visual approach. A first course in proof-based linear algebra is assumed. An ideal preparation can be found in the author's companion volume, Introduction to Linear and Matrix Algebra.
Edité par Springer International Publishing, 2021
ISBN 10 : 3030528146 ISBN 13 : 9783030528140
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 58,84
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook emphasizes the interplay between algebra and geometry to motivate the study of advanced linear algebra techniques. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the book. Building on a first course in linear algebra, this book offers readers a deeper understanding of abstract structures, matrix decompositions, multilinearity, and tensors. Concepts draw on concrete examples throughout, offering accessible pathways to advanced techniques.Beginning with a study of vector spaces that includes coordinates, isomorphisms, orthogonality, and projections, the book goes on to focus on matrix decompositions. Numerous decompositions are explored, including the Shur, spectral, singular value, and Jordan decompositions. In each case, the author ties the new technique back to familiar ones, to create a coherent set of tools. Tensors and multilinearity complete the book, with a study of the Kronecker product, multilinear transformations, and tensor products. Throughout, 'Extra Topic' sections augment the core content with a wide range of ideas and applications, from the QR and Cholesky decompositions, to matrix-valued linear maps and semidefinite programming. Exercises of all levels accompany each section.Advanced Linear and Matrix Algebra offers students of mathematics, data analysis, and beyond the essential tools and concepts needed for further study. The engaging color presentation and frequent marginal notes showcase the author's visual approach. A first course in proof-based linear algebra is assumed. An ideal preparation can be found in the author's companion volume, Introduction to Linear and Matrix Algebra.