Isbn: 9781733146678 - introduction to linear algebra (13 risultati)

Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

hardcover. Condizione: New. 6th Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Condizione: New. 5th or later Edition.

Condizione: New.

Hardback. Condizione: New. Sixth Edition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Gebunden. Condizione: New. Inhaltsverzeichnis1. Vectors and matrices 2. Solving linear equations 3. The four fundamental subspaces 4. Orthogonality 5. Determinants 6. Eigenvalues and eigenvectors 7. The singular value decomposition (SVD) 8. Linear transform.

Hardcover. Condizione: Brand New. 6th edition. 430 pages. 9.49x7.80x1.18 inches. In Stock.

Hardcover. Condizione: Good. 6th Edition. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.

Hardback. Condizione: New. Sixth Edition.

Buch. Condizione: Neu. Neuware - Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide. This sixth edition of Professor Strang's most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values - in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang's characteristic clear style. It is sure to delight and inspire the delight and inspire the next generation of learners.…