Linear Algebra for Everyone (Hardcover)

Gilbert Strang

ISBN 10: 1733146636 / ISBN 13: 9781733146630

Edité par Wellesley-Cambridge Press,U.S., Wellesley, 2020

A propos de cet article

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

Détails bibliographiques

• Titre: Linear Algebra for Everyone (Hardcover)
• Éditeur: Wellesley-Cambridge Press,U.S., Wellesley
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 1733146636
• ISBN à 13 chiffres: 9781733146630
• Reliure: Hardcover
• État de l'article: new

A propos de ce titre

Synopsis

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.