PDF Ebook Elementary Linear Algebra, Fourth Edition, by Stephen Andrilli, David Hecker
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Elementary Linear Algebra, Fourth Edition, by Stephen Andrilli, David Hecker
PDF Ebook Elementary Linear Algebra, Fourth Edition, by Stephen Andrilli, David Hecker
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Elementary Linear Algebra develops and explains in careful detail the computational techniques and fundamental theoretical results central to a first course in linear algebra. This highly acclaimed text focuses on developing the abstract thinking essential for further mathematical study. The authors give early, intensive attention to the skills necessary to make students comfortable with mathematical proofs. The text builds a gradual and smooth transition from computational results to general theory of abstract vector spaces. It also provides flexbile coverage of practical applications, exploring a comprehensive range of topics.
Ancillary list: * Maple Algorithmic testing- Maple TA- www.maplesoft.com * Companion Website- http://www.elsevierdirect.com/product.jsp?isbn=9780123747518 *�Online Instructors Manual- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123747518 * Ebook- http://www.elsevierdirect.com/product.jsp?isbn=9780123747518 * Online Student Solutions Manual- http://www.elsevierdirect.com/product.jsp?isbn=9780123747518
- Includes a wide variety of applications, technology tips and exercises, organized in chart format for easy reference
- More than 310 numbered examples in the text at least one for each new concept or application
- Exercise sets ordered by increasing difficulty, many with multiple parts for a total of more than 2135 questions
- Provides an early introduction to eigenvalues/eigenvectors
- A Student solutions manual, containing fully worked out solutions and instructors manual available
- Sales Rank: #812298 in Books
- Published on: 2010-01-11
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 8.00" w x 1.50" l, 3.20 pounds
- Binding: Hardcover
- 768 pages
About the Author
Dr. Andrilli has a Ph.D. degree in mathematics from Rutgers University, and is an Associate Professor in the Mathematics and Computer Science Department at La Salle University in Philadelphia, PA, having previously taught at Mount St. Mary’s University in Emmitsburg, MD. He has taught linear algebra to sophomore/junior mathematics, mathematics-education, chemistry, geology, and other science majors for over thirty years. Dr. Andrilli’s other mathematical interests include history of mathematics, college geometry, group theory, and mathematics-education, for which he served as a supervisor of undergraduate and graduate student-teachers for almost two decades. He has pioneered an Honors Course at La Salle based on Douglas Hofstadter’s “Godel, Escher, Bach,” into which he weaves the Alice books by Lewis Carroll. Dr. Andrilli lives in the suburbs of Philadelphia with his wife Ene. He enjoys travel, classical music, classic movies, classic literature, science-fiction, and mysteries. His favorite author is J. R. R. Tolkien.
Dr. Hecker has a Ph.D. degree in mathematics from Rutgers University, and is a Professor in the Mathematics Department at Saint Joseph’s University in Philadelphia, PA. He has taught linear algebra to sophomore/junior mathematics and science majors for over three decades. Dr. Hecker has previously served two terms as Chair of his department, and his other mathematical interests include real and complex analysis, and linear algebra. He lives on five acres in the farmlands of New Jersey with his wife Lyn, and is very devoted to his four children. Dr. Hecker enjoys photography, camping and hiking, beekeeping, geocaching, science-fiction, humorous jokes and riddles, and rock and country music. His favorite rock group is the Moody Blues.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Great book
By RagingBull
The textbook lays out the subject in an articulate manner and the examples force applications to what is learned. It forces you to go above and beyond the basic understanding of the course, which is why many people on here are discrediting it.
6 of 8 people found the following review helpful.
Highly recommended for math majors
By Picky Customer
I must say I have been pleasantly surprised with this book. I find it very readable. It has been very easy for me to teach myself what I need to know right out of the text. There aren't many math books I've found that can make that claim. I haven't needed to consult any other books to understand the material. The only real improvement I could wish for from this book would be a solutions manual.
The book follows a very logical progression. Each topic builds on previously covered material.
It's clear to me now why UT chose this book for its math major classes. The emphasis in this book is teaching you to think abstractly and work out difficult proofs, which you're going to need for more advanced math classes. The book has a lot of proof exercises (but there are a lot of computational exercises as well.) In all, I'd say this book does a great job doing what it was designed to do, which is to train future mathematicians. This naturally implies, however, as a previous reviewer stated, that it's going to be short on applications. So if you're going to be taking a class using this book, it would be a good idea to learn a little about the applications of linear algebra before you start, if you need that knowledge to keep yourself motivated. Then prepare to learn linear algebra from a very fine book.
2 of 2 people found the following review helpful.
Excellent
By Kyle Maxwell
I used this in my undergrad course as a math major at UT Dallas. I really enjoyed it; the book has sections on applications in just about every chapter, and there are lots of computational exercises as well. In addition to answers to odd-numbered exercises, each chapter has a "self-test" with all the answers provided at the back of the book. It's a bit chatty, but that befits an undergrad text.
This is a good book for self-study, though if you are really serious about it, you might want to supplement it with a more rigorous reference (the Dettman text is good for this).
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