Matrix Theory and Applications for Scientists and Engineers
(eBook)
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Format
eBook
Language
English
ISBN
9780486832654
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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Grouping Information
| Grouped Work ID | 1dee1228-2ee9-747c-80ca-084fed961e22-eng |
|---|---|
| Full title | matrix theory and applications for scientists and engineers |
| Author | graham alexander |
| Grouping Category | book |
| Last Update | 2023-04-05 18:45:54PM |
| Last Indexed | 2024-04-17 02:35:05AM |
Book Cover Information
| Image Source | hoopla |
|---|---|
| First Loaded | Aug 24, 2023 |
| Last Used | Aug 27, 2023 |
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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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