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Vendeur AbeBooks depuis 2 août 2006
May contain highlighting/underlining/notes/etc. May have used stickers on cover. Access codes and supplements are not guaranteed to be included with used books. Ships same or next day. Expedited shipping: 3-5 business days, Standard shipping: 4-14 business days. N° de réf. du vendeur UNT-LIEB-063-039638
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.
À propos de l?auteur: Gilbert Strang has been teaching Linear Algebra at Massachusetts Institute of Technology (MIT) for over fifty years. His online lectures for MIT's OpenCourseWare have been viewed over ten million times. He is a former President of the Society for Industrial and Applied Mathematics and Chair of the Joint Policy Board for Mathematics. Professor Strang is the author of twelve books, including the bestselling classic Introduction to Linear Algebra (2016), now in its fifth edition.
Titre : Linear Algebra for Everyone (The Gilbert ...
Éditeur : Wellesley-Cambridge Press
Date d'édition : 2020
Reliure : hardcover
Etat : Good
Vendeur : Zoom Books East, Glendale Heights, IL, Etats-Unis
Etat : good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. N° de réf. du vendeur ZEV.1733146636.G
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Vendeur : Speedyhen, London, Royaume-Uni
Etat : NEW. N° de réf. du vendeur NW9781733146630
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Vendeur : moluna, Greven, Allemagne
Etat : New. From Gilbert Strang, a new approach to linear algebra that is suitable for everyone, going from basics to the singular value decomposition.Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the e. N° de réf. du vendeur 406732087
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 356 pages. 9.50x7.75x1.00 inches. In Stock. N° de réf. du vendeur __1733146636
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Hardback. Etat : New. New copy - Usually dispatched within 4 working days. 806. N° de réf. du vendeur B9781733146630
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Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
Hardcover. Etat : new. Hardcover. 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. Linear algebra is now the subject to know in quantitative disciplines of all kinds. This book from Prof. Gilbert Strang brings linear algebra to everyone, not just those with a strong background in mathematics. It goes from the basic concepts of independence, rank and dimension, to least squares, eigenvalues and the singular value decomposition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781733146630
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