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by Hans Schneider

Download Matrices and Linear Algebra (Dover Books on Mathematics) fb2, epub

ISBN: 0486660141
Author: Hans Schneider
Language: English
Publisher: Dover Publications; 2nd Revised ed. edition (June 1, 1989)
Pages: 432
Category: Mathematics
Subcategory: Science
Rating: 4.3
Votes: 415
Size Fb2: 1866 kb
Size ePub: 1694 kb
Size Djvu: 1936 kb
Other formats: lrf mobi doc mbr


Only 4 left in stock (more on the way).

Only 4 left in stock (more on the way).

Matrices and Linear Algebra (Dover Books on Mathematics). Published June 8th 2012 by Dover Publications.

Table of Contents: l. The Algebra of Matrices 2. Linear Equations 3. Vector Spaces 4. Determinants 5. Linear . Matrices and Linear Algebra Dover Books on Mathematics Series Dover books on advanced mathematics. Hans Schneider, George Phillip Barker.

Matrices and Linear Algebra Dover Books on Mathematics Series Dover books on advanced mathematics. Издание: иллюстрированное, перепечатанное, исправленное. Linear Transformations 6. Eigenvalues and Eigenvectors . Matrices and Linear Algebra Dover Books on Mathematics.

Matrices and Linear Algebra Dover Books on Mathematics. Издание: перепечатанное.

Linear algebra is one of the central disciplines in mathematics

Linear algebra is one of the central disciplines in mathematics. A student of pure mathematics must know linear algebra if he is to continue with modern algebra or functional analysis. Written mainly for students in physics, engineering, economics, and other fields outside mathematics, the book gives the theory of matrices and applications to systems of linear equations, as well as many related topics such as determinants, eigenvalues, and differential equations. The Algebra of Matrices2. Linear Transformations6. Eigenvalues and Eigenvectors7. Inner Product Spaces8.

Linear Algebra and Matrix Theory by Robert R. Stoll Advanced undergraduate and first-year graduate students have long regarded this text as one of. .Set Theory and Logic (Dover Books on Mathematics) by Robert R.

Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics  .

Dover Books on Mathematics. Linear algebra is one of the central disciplines in mathematics

Dover Books on Mathematics. By (author) Hans Schneider, By (author) George Philip Barker. Linear algebra is one of the central disciplines in mathematics.

Matrices and Linear Algebra Schneider, Hans Dover 9780486660141 : Linear algebra is one of the . A student of pure mathematics must know linear algebra if he is to continue with modern algebra or functional analysis

Matrices and Linear Algebra Schneider, Hans Dover 9780486660141 : Linear algebra is one of the central disciplines in mathematics.

Dover is most recognized for our magnificent math books list. Coloring books for adults and children. For all ages and levels. Beautifully illustrated, low-priced Dover coloring on an amazing variety of subjects. Visit Dover Coloring. Dover books on mathematics include authors Paul J. Cohen ( Set Theory and the Continuum Hypothesis ), Alfred Tarski ( Undecidable Theories ), Gary Chartrand ( Introductory Graph Theory ), Hermann Weyl ( The Concept of a Riemann Surface ), Shlomo Sternberg ( Dynamical Systems ), and multiple math book works by C. R. Wylie in geometry. Show me . Teacher's Resources.

Linear algebra is one of the central disciplines in mathematics. A student of pure mathematics must know linear algebra if he is to continue with modern algebra or functional analysis. Much of the mathematics now taught to engineers and physicists requires it.This well-known and highly regarded text makes the subject accessible to undergraduates with little mathematical experience. Written mainly for students in physics, engineering, economics, and other fields outside mathematics, the book gives the theory of matrices and applications to systems of linear equations, as well as many related topics such as determinants, eigenvalues, and differential equations.Table of Contents:l. The Algebra of Matrices2. Linear Equations3. Vector Spaces4. Determinants5. Linear Transformations6. Eigenvalues and Eigenvectors7. Inner Product Spaces8. Applications to Differential EquationsFor the second edition, the authors added several exercises in each chapter and a brand new section in Chapter 7. The exercises, which are both true-false and multiple-choice, will enable the student to test his grasp of the definitions and theorems in the chapter. The new section in Chapter 7 illustrates the geometric content of Sylvester's Theorem by means of conic sections and quadric surfaces. 6 line drawings. lndex. Two prefaces. Answer section.

Comments:

Bu
I am so pleased and thankful for this book! Nowhere else have I been able to find a rigorous, complete and fully motivated development of the definition of a determinant (not online, not in other linear algebra textbooks of which i have 4 including the excellent text by David Lay et al as well as numerous other books). This book has equipped me to teach not only how to DO determinants and how to prove that determinants correlate with area, volume and hypervolume, but rather develops the determinant as the geometric concept of area/volume/hypervolume of a parallelepiped in n dimensions -- which also determines whether or not a nxn matrix can be inverted -- and from this all the basic properties of determinants become clear. Elsewhere the approach seems to be, "motivate" the determinant by discussing a 2x2 matrix and then define the matrix as the row or column expansion of minor submatrices -- proving from this seemingly arbitrary definition various matrix aspects which are much more naturally discussed by this book. SOME other books even point out that all the additive terms can be formed by permutations of columns to determine which factor is selected from each row of the matrix to calculate the determinant, but not really demonstrating WHY in a general sense. Although it is not easy in the sense that some of the proofs are subtle still they are quite well done, so I recommend the book for any math major, math professor, or (in my case) former math major teaching a precocious 7th grader who has already blown through algebra, trig and calculus.
Winail
I am not a math person. I bought the book to spark some math on a higher level. I had no idea what matrices etc are. The math is on such a high abstract level that it is way beyond my ability to grab any basics for understanding it. But I am keeping the book for now. I will go over it now and then. Something may garner meanings from checking it out.
Hi_Jacker
Trying to teach myself matrix algebra. Will have to take an on-line course. These math books are difficult to follow. Others who are smarter than me would appreciate it more.
AfinaS
In past semesters, the course required text had always been a ridiculously expensive book with many pictures and long, tedious explanations. This book is excellent at explaining with minimal detail yet still getting the point across. The only con I can think of is the small number of problems, leaving only the conceptual and harder problems. But even this could be a pro, helping the student to think around the concepts rather than repetition of busy work exercises. I would suggest practicing from another source the topics you find more difficult.
Dynen
Not a bad Math book. It sure doesn't weigh alot. Not taking this math before, it doesn't seem to hard to follow. The teacher recommends this book and states its better than the other books that he has used before. Answers to questions are in the back and the proofs are not really hard to follow. The price of the book was outstanding.
Androrim
except the posting take really long time. everything is OK.
Inabel
this book is terrible, it's confusing and lack of explaination, i recommand u to get the Linear Algebra and it's application by Davie C. Lay
On my desk right now, books by: David C. Lay, Terry Lawson, Sheldon Axler, Klaus Jänich, Robert Valenza, and this one by Schneider and Barker. I tend to go back again and again here.

I'm using this book as a supplement for the textbook in my class. Some of the books cited above don't quite fit the bill because they're so different from the linear algebra for engineering you so often see in classes. But this one is excellent for a matrix-heavy approach.

This book is "bare bones", indeed, but it is very well written. Some might not be used to definitions, propositions, theorems and lemmas but in this case this makes it a whole lot easier for finding (and referencing) the important results. The notation is careful and formal, but the explanations are crystal clear. On the back cover it says it's geared towards students "outside the field of mathematics" but I think they say that because it avoids a purely algebraic approach (like in Valenza where e.g. Ker is defined in the context of group homomorphism). The approach is the one of matrixes, matrixes everywhere (row echelon algorithm, etc.) There are, however, no "modern" applications (such as networks, or ecology) as examples.

Another reviewer complained about the difficulty in exercises. While you have "drill" ones, you do have more conceptual ones, but I think they're on par with the text. There are no pretty illustrations here, and you will see that you don't need them.

In some other books, material might be presented in a wordy manner, but in this book, you just say "ah, so what so-and-so is saying is just Theorem number X.X.X in S&B."

On the whole, this is an excellent acquisition for your undergraduate library. It is cheap and good. What more do you want?

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