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Advanced Linear and Matrix Algebra

Af: Nathaniel Johnston Engelsk Paperback

Advanced Linear and Matrix Algebra

Af: Nathaniel Johnston Engelsk Paperback
Tjek vores konkurrenters priser

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.


Tjek vores konkurrenters priser
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kr 526
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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.


Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 494
ISBN-13: 9783030528171
Indbinding: Paperback
Udgave:
ISBN-10: 3030528170
Kategori: Algebra
Udg. Dato: 21 maj 2022
Længde: 30mm
Bredde: 254mm
Højde: 178mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 21 maj 2022
Forfatter(e): Nathaniel Johnston
Forfatter(e) Nathaniel Johnston


Kategori Algebra


ISBN-13 9783030528171


Sprog Engelsk


Indbinding Paperback


Sider 494


Udgave


Længde 30mm


Bredde 254mm


Højde 178mm


Udg. Dato 21 maj 2022


Oplagsdato 21 maj 2022


Forlag Springer Nature Switzerland AG