Advanced linear algebra with applications / Mohammad Ashraf, Vincenzo De Filippis, Mohammad Aslam Siddeeque

Von:

Ashraf, Mohammad [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Singapore : Springer, [2022]Beschreibung: 1 Online-Ressource (xvi, 495 Seiten) : DiagrammeISBN:

9789811621673

Schlagwörter:

Algebras, Linear

Andere physische Formen: 9789811621666 | 9789811621697 | Erscheint auch als: 9789811621666 Druck-Ausgabe | Erscheint auch als: 9789811621680 Druck-Ausgabe | Erscheint auch als: 9789811621697 Druck-AusgabeDOI: DOI: 10.1007/978-981-16-2167-3Online-Ressourcen:

Zusammenfassung: Algebraic Structures -- Matrices and Systems of Linear Equations -- Vector Spaces -- Linear Transformations -- Dual Spaces -- Inner Product Spaces -- Canonical Forms of an Operator -- Bilinear and Quadratic Forms -- Sesquilinear and Hermitian Forms -- Applications of Linear Algebra to Numerical Methods -- Affine and Euclidean Spaces and the Applications of Linear Algebra to Geometry -- Ordinary differential equations and linear systems of ordinary differential equations. .Zusammenfassung: This book provides a comprehensive knowledge of linear algebra for graduate and undergraduate courses. As a self-contained text, it aims at covering all important areas of the subject, including algebraic structures, matrices and systems of linear equations, vector spaces, linear transformations, dual and inner product spaces, canonical, bilinear, quadratic, sesquilinear, Hermitian forms of operators and tensor products of vector spaces with their algebras. The last three chapters focus on empowering readers to pursue interdisciplinary applications of linear algebra in numerical methods, analytical geometry and in solving linear system of differential equations. A rich collection of examples and exercises are present at the end of each section to enhance the conceptual understanding of readers. Basic knowledge of various notions, such as sets, relations, mappings, etc., has been pre-assumed.PPN: PPN: 1800749678Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS

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