This text achieves a balance among computational skills, theories and applications of linear algebra. The contents can be arranged to allow for the presentation of a traditional introduction to linear algebra or a more applied course. More than 330 solved examples are included; many are computational and devoted to applications. This edition leans towards matrix computations and applications, and has a much less abstract focus than the second edition.
Anyways, this textbook will probably help you learn Linear Algebra, if that’d something you wish to do! I think I’m just a bit dull when it comes to higher-level math, because the last couple of chapters of this text just didn’t make a lick of sense to me :-/ I don’t know if that’s due to a lack of smarts on my part, or a lack of helpful explanation on the author’s, so I’ll just say it probably makes sense to someone more math-minded than me.
Hmu if you need to calculate eigenvectors or find the basis for an orthogonal subspace though!
(Also, does anyone else feel this weird compulsion to finish a textbook if you’re assigned to read only 1/2-2/3 of it for your course? Or are you, yanno, sane?)