Sprache: Englisch
Verlag: Springer International Publishing, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
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Sprache: Englisch
Verlag: Springer International Publishing, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
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Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
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Sprache: Englisch
Verlag: Springer Nature Switzerland AG, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
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Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Anbieter: moluna, Greven, Deutschland
Zustand: New. Motivates a deeper understanding of the abstract structures needed to tackle questions in mathematics, data analysis, and quantum information theoryEngages readers with a visual approach that uses color to enhance both content and learning.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. 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 thr.
Sprache: Englisch
Verlag: Springer International Publishing, 2022
ISBN 10: 3030528170 ISBN 13: 9783030528171
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.
Sprache: Englisch
Verlag: Springer Nature Switzerland, 2021
ISBN 10: 3030528146 ISBN 13: 9783030528140
Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Advanced Linear and Matrix Algebra | Nathaniel Johnston | Buch | xvi | Englisch | 2021 | Springer Nature Switzerland | EAN 9783030528140 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.