- Gebundene Ausgabe: 585 Seiten
- Verlag: Wellesley-Cambridge Press; Auflage: 4 (10. Februar 2009)
- Sprache: Englisch
- ISBN-10: 0980232716
- ISBN-13: 978-0980232714
- Größe und/oder Gewicht: 19,1 x 3 x 23,5 cm
- Durchschnittliche Kundenbewertung: 6 Kundenrezensionen
- Amazon Bestseller-Rang: Nr. 106.373 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
Introduction to Linear Algebra (Englisch) Gebundene Ausgabe – 10. Februar 2009
Kunden, die diesen Artikel gekauft haben, kauften auch
Welche anderen Artikel kaufen Kunden, nachdem sie diesen Artikel angesehen haben?
Es wird kein Kindle Gerät benötigt. Laden Sie eine der kostenlosen Kindle Apps herunter und beginnen Sie, Kindle-Bücher auf Ihrem Smartphone, Tablet und Computer zu lesen.
Geben Sie Ihre Mobiltelefonnummer ein, um die kostenfreie App zu beziehen.
Wenn Sie dieses Produkt verkaufen, möchten Sie über Seller Support Updates vorschlagen?
Über das Produkt
A leading textbook for first courses in linear algebra. Instead of teaching students by repetitive drill, Gilbert Strang encourages students to real mathematical thinking; an approach that has been successful over many years at MIT. The book is supported by online lectures and learning material via http://web.mit.edu/18.06/www/.
Über den Autor und weitere Mitwirkende
Gilbert Strang received his Ph.D. from UCLA and since then he has taught at MIT. He has been a Sloan Fellow and a Fairchild Scholar and is a Fellow of the American Academy of Arts and Sciences. He is a Professor of Mathematics at MIT and an Honorary Fellow of Balliol College. Professor Strang has published eight textbooks. He received the von Neumann Medal of the US Association for Computational Mechanics, and the Henrici Prize for applied analysis. The first Su Buchin Prize from the International Congress of Industrial and Applied Mathematics, and the Haimo Prize from the Mathematical Association of America, were awarded for his contributions to teaching around the world.
In addition you can watch all linear algebra lectures of prof. Strang freely on Youtube, just search for "MIT Openopencourseware" or for "Gilbert Strang".
I want to comment on the organization of the 10 chapters. Although the back cover says Chapters 7-10 are for a second course on linear algebra, I don't agree with it. These four chapters are stand-alone so can't really form a "course". Chapters 8, 9 are mainly about applications. Almost all materials are shallow and at most provide a preview to how linear algebra is used in real world --- they are not sufficient to prepare you to really solve any real world problems. The author often refers to his other textbooks (Computational Science and Engineering, and Intro to Applied Maths) in many places throughout the book. These are the places that this book mentions issues without really explaining them.
I think that the applications in Chapter 8-9 are better used to supplement earlier chapters to provide motivations for learning linear algebra. This may also explain why quite a few reviewers say this book lack motivations --- because they are separately presented. The reader would understand form these examples that if they learn linear algebra AND THEN take some additional course(s) on advanced topics, they will eventually be able to see how maths is useful.
I consider Chapter 7 as a summary of what has presented so far, and provides a slightly more theoretical view to the materials, so I think it should be included in the first course. Chapter 10 is about complex matrix. It could be optional to some students so it is ok to put it to the back.
Some people comment that this book is not a good *introduction*. I read this because I have already seen a lot of applications of linear algebra and decided I need to learn from the basics, and so I don't really need motivations to learn. For those who need to take this course without knowing why, you may first scan through the subheadings in Chapter 8 to decide if this book would motivate you enough.
Möchten Sie weitere Rezensionen zu diesem Artikel anzeigen?
Ähnliche Artikel finden