Normal view MARC view ISBD view

Linear algebra : core topics for the first course

By: Atanasiu, Dragu.
Contributor(s): Mikusinnski, Piotr.
Material type: materialTypeLabelBookPublisher: New Jersey : World Scientific, 2020Description: xii, 452 p. ; ill., 25 cm.ISBN: 9780000989239.Subject(s): Matrix algebra | Linear algebra | Linear transformations | Matrices | Determinants | Eigenvalues | Soul and Body | Corporeal substance | Discourse on Metaphysics | Entelechy | Monadology | Notion | Perceptions | Possible worlds | Divine JusticeDDC classification: 512.5 Summary: The book is an introduction to linear algebra intended as a textbook for the first course in linear algebra. In the first six chapters we present the core topics: matrices, the vector space R^n, orthogonality in R^n, determinants, eigenvalues and eigenvectors, and linear transformations. The book gives students an opportunity to better understand linear algebra in the next three chapters: Jordan forms by examples, singular value decomposition, and quadratic forms and positive definite matrices. In the first nine chapters everything is formulated in terms of R^n. This makes the ideas of linear algebra easier to understand. The general vector spaces are introduced in Chapter 10. The last chapter presents problems solved with a computer algebra system. At the end of the book we have results or solutions for odd numbered exercises.
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode
Books 512.5 ATA (Browse shelf) Available 034940

Includes bibliographical references and index.

The book is an introduction to linear algebra intended as a textbook for the first course in linear algebra. In the first six chapters we present the core topics: matrices, the vector space R^n, orthogonality in R^n, determinants, eigenvalues and eigenvectors, and linear transformations. The book gives students an opportunity to better understand linear algebra in the next three chapters: Jordan forms by examples, singular value decomposition, and quadratic forms and positive definite matrices. In the first nine chapters everything is formulated in terms of R^n. This makes the ideas of linear algebra easier to understand. The general vector spaces are introduced in Chapter 10. The last chapter presents problems solved with a computer algebra system. At the end of the book we have results or solutions for odd numbered exercises.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha