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Buy Linear and Geometric Algebra (Geometric Algebra & Calculus) by Macdonald PhD, Alan (ISBN: 9781453854938) from desertcart's Book Store. Everyday low prices and free delivery on eligible orders. Review: Fantastic read, I've been interested in Geometric Algebra for ... - Fantastic read. I've been interested in Geometric Algebra for a long time and this is an excellent and clear introduction to the subject. Linear algebra concepts are gradually introduced, studied and then generalized via GA - it's actually a truly exciting book to read (I'd say especially if you've read a bit of GA in the past and know where things are leading!). There are a good selection of problems that are worth coming back to multiple times but it may be a little hard for self study unless you're comfortable with the style of text. For self study this probably works best as a companion to a more traditional linear algebra book with worked examples. For the size of the book and cost it covers a good selection of topics, not really a criticism but it does leave you wanting to learn more! So much in fact that I've just ordered the second book, Vector and Geometric Calculus by the same author. Review: Excellent at what it does - This is the first undergraduate textbook I have come across and read on linear algebra that uses geometric algebra in an integrated and natural way, one which will be both eye-opening and enormously benficial to students and other readers who have not seen it before. I would echo David Hestenes' positive comments on the cover of the book - Hestenes is the acknowledged creator of geometric algebra in the form it appears in the book - in particular, that it uncovers some of the gems of geometric algebra. However, as a word of warning, purchasors and readers should not expect what the book neither claims nor attempts to deliver: e.g. any of Hestenes' geometric calculus on vector manifolds. That is, it contains some of the gems but by no means all and, for that, one must look elsewhere.
| Best Sellers Rank | 600,785 in Books ( See Top 100 in Books ) 287 in Algebra (Books) |
| Customer Reviews | 4.4 out of 5 stars 86 Reviews |
J**9
Fantastic read, I've been interested in Geometric Algebra for ...
Fantastic read. I've been interested in Geometric Algebra for a long time and this is an excellent and clear introduction to the subject. Linear algebra concepts are gradually introduced, studied and then generalized via GA - it's actually a truly exciting book to read (I'd say especially if you've read a bit of GA in the past and know where things are leading!). There are a good selection of problems that are worth coming back to multiple times but it may be a little hard for self study unless you're comfortable with the style of text. For self study this probably works best as a companion to a more traditional linear algebra book with worked examples. For the size of the book and cost it covers a good selection of topics, not really a criticism but it does leave you wanting to learn more! So much in fact that I've just ordered the second book, Vector and Geometric Calculus by the same author.
D**M
Excellent at what it does
This is the first undergraduate textbook I have come across and read on linear algebra that uses geometric algebra in an integrated and natural way, one which will be both eye-opening and enormously benficial to students and other readers who have not seen it before. I would echo David Hestenes' positive comments on the cover of the book - Hestenes is the acknowledged creator of geometric algebra in the form it appears in the book - in particular, that it uncovers some of the gems of geometric algebra. However, as a word of warning, purchasors and readers should not expect what the book neither claims nor attempts to deliver: e.g. any of Hestenes' geometric calculus on vector manifolds. That is, it contains some of the gems but by no means all and, for that, one must look elsewhere.
R**L
Very good quality
Very good quality
R**A
The next step beyond classic Linear Algebra - love it.
A completely new view on vectors providing generalizations of vectors, extensions to the vector notion into higher dimensions.
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