Matrix Theory and Applications for Scientists and Engineers
(eBook)

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Published
Dover Publications, 2018.
Format
eBook
ISBN
9780486832654
Status
Available Online

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Language
English

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Citations

APA Citation, 7th Edition (style guide)

Alexander Graham., & Alexander Graham|AUTHOR. (2018). Matrix Theory and Applications for Scientists and Engineers . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Alexander Graham and Alexander Graham|AUTHOR. 2018. Matrix Theory and Applications for Scientists and Engineers. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Alexander Graham and Alexander Graham|AUTHOR. Matrix Theory and Applications for Scientists and Engineers Dover Publications, 2018.

MLA Citation, 9th Edition (style guide)

Alexander Graham, and Alexander Graham|AUTHOR. Matrix Theory and Applications for Scientists and Engineers Dover Publications, 2018.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID1dee1228-2ee9-747c-80ca-084fed961e22-eng
Full titlematrix theory and applications for scientists and engineers
Authorgraham alexander
Grouping Categorybook
Last Update2022-10-18 22:25:19PM
Last Indexed2024-04-27 00:02:58AM

Book Cover Information

Image Sourcehoopla
First LoadedJun 12, 2022
Last UsedApr 13, 2024

Hoopla Extract Information

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    [synopsis] => A comprehensive text on matrix theory and its applications, this book is intended for a broad range of students in mathematics, engineering, and other areas of science at the university level. Author Alexander Graham avoids a simple catalogue of techniques by exploring the concepts' underlying principles as well as their numerous applications. Many problems elucidate the text, which includes a substantial answer section at the end. The treatment explores matrices, vector spaces, linear transformations, and the rank and determinant of a matrix. Additional topics include linear equations, eigenvectors and eigenvalues, canonical forms and matrix functions, and inverting a matrix. A Solution to Problems Section, References and a Bibliography conclude the treatment.
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