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Aggiungi al carrellohardcover. Condizione: Very Good.
Editore: Springer International Publishing AG, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Lingua: Inglese
Da: TextbookRush, Grandview Heights, OH, U.S.A.
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Aggiungi al carrelloCondizione: 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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Aggiungi al carrelloCondizione: 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.
Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 62,61
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Editore: Springer Nature Switzerland AG, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 64,28
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Springer Nature Switzerland AG, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 55,64
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EUR 63,57
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloCondizione: New. pp. 512.
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Aggiungi al carrelloCondizione: New.
Editore: Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 74,49
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Aggiungi al carrelloHardcover. Condizione: 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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EUR 66,51
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Aggiungi al carrelloCondizione: New.
Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 66,82
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Aggiungi al carrelloCondizione: New. 2022. 1st ed. 2021. Paperback. . . . . .
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Aggiungi al carrelloHardcover. Condizione: Brand New. 494 pages. 10.00x7.25x1.25 inches. In Stock.
EUR 74,72
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Aggiungi al carrelloPaperback. Condizione: New. 1st ed. 2021. Special order direct from the distributor.
Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 83,92
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Aggiungi al carrelloCondizione: New. 2022. 1st ed. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Editore: Springer International Publishing, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,84
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,84
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.