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Linear Algebra for Everyone

Af: Gilbert Strang Engelsk Hardback

Linear Algebra for Everyone

Af: Gilbert Strang Engelsk Hardback
Tjek vores konkurrenters priser
Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the exclusive domain of mathematicians and engineers, it is now used everywhere there is data and everybody who works with data needs to know more. This new book from Professor Gilbert Strang, author of the acclaimed Introduction to Linear Algebra, now in its fifth edition, makes linear algebra accessible to everybody, not just those with a strong background in mathematics. It takes a more active start, beginning by finding independent columns of small matrices, leading to the key concepts of linear combinations and rank and column space. From there it passes on to the classical topics of solving linear equations, orthogonality, linear transformations and subspaces, all clearly explained with many examples and exercises. The last major topics are eigenvalues and the important singular value decomposition, illustrated with applications to differential equations and image compression. A final optional chapter explores the ideas behind deep learning.
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Tjek vores konkurrenters priser
Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the exclusive domain of mathematicians and engineers, it is now used everywhere there is data and everybody who works with data needs to know more. This new book from Professor Gilbert Strang, author of the acclaimed Introduction to Linear Algebra, now in its fifth edition, makes linear algebra accessible to everybody, not just those with a strong background in mathematics. It takes a more active start, beginning by finding independent columns of small matrices, leading to the key concepts of linear combinations and rank and column space. From there it passes on to the classical topics of solving linear equations, orthogonality, linear transformations and subspaces, all clearly explained with many examples and exercises. The last major topics are eigenvalues and the important singular value decomposition, illustrated with applications to differential equations and image compression. A final optional chapter explores the ideas behind deep learning.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 368
ISBN-13: 9781733146630
Indbinding: Hardback
Udgave:
ISBN-10: 1733146636
Kategori: Matematisk modellering
Udg. Dato: 26 nov 2020
Længde: 21mm
Bredde: 243mm
Højde: 197mm
Forlag: Wellesley-Cambridge Press,U.S.
Oplagsdato: 26 nov 2020
Forfatter(e): Gilbert Strang
Forfatter(e) Gilbert Strang

Kategori Matematisk modellering

ISBN-13 9781733146630

Sprog Engelsk

Indbinding Hardback

Sider 368

Udgave

Længde 21mm

Bredde 243mm

Højde 197mm

Udg. Dato 26 nov 2020

Oplagsdato 26 nov 2020

Forlag Wellesley-Cambridge Press,U.S.