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Introduction to Linear Algebra by Gilbert Strang (2021, Hardcover)

Über dieses Produkt

Product Identifiers

PublisherCambridge University Press
ISBN-101733146652
ISBN-139781733146654
eBay Product ID (ePID)22050410056

Product Key Features

Number of Pages584 Pages
Publication NameIntroduction to Linear Algebra
LanguageEnglish
SubjectGeneral, Algebra / General
Publication Year2021
FeaturesRevised
TypeTextbook
Subject AreaMathematics
AuthorGilbert Strang
FormatHardcover

Dimensions

Item Height1.2 in
Item Weight41.3 Oz
Item Length9.5 in
Item Width7.8 in

Additional Product Features

Edition Number5
Intended AudienceCollege Audience
Dewey Edition23
IllustratedYes
Dewey Decimal512.5
Table Of Content1. Introduction to vectors; 2. Solving linear equations; 3. Vector spaces and subspaces; 4. Orthogonality; 5. Determinants; 6. Eigenvalues and eigenvectors; 7. The singular value decomposition (SVD); 8. Linear transformations; 9. Complex vectors and matrices; 10. Applications; 11. Numerical linear algebra; 12. Linear algebra in probability and statistics; Matrix factorizations; Index; Six great theorems/linear algebra in a nutshell.
Edition DescriptionRevised edition
SynopsisLinear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python., Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions.
LC Classification NumberQA184.2.S7 2021

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  • Linear Algebra leaning tool

    The book is well written, a great reference.

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