What is wrong?

Notice: Before sending an error with the download, please try the direct link first: Algebra: A Computational Introduction

Loading...

You must sign in to do that.

Forgot password?

Algebra: A Computational Introduction

Algebra: A Computational Introduction

Algebra: A Computational Introduction

Score: ---- | 0 votes
| Sending vote
| Voted!
|

Book Details:

pos
Global
pos
Category
Year:2010
Publisher:University of Toronto
Pages:419 pages
Language:english
Since:20/01/2014
Size:1.33 MB
License:Pending review

Content:

This text is an introduction to algebra for undergraduates who are interested in careers which require a strong background in mathematics. It will benefit students studying computer science and physical sciences, who plan to teach mathematics in schools, or to work in industry or finance. The book assumes that the reader has a solid background in linear algebra. For the first 12 chapters elementary operations, elementary matrices, linear independence and rank are important. In the second half of the book abstract vector spaces are used. Students will need to have experience proving results. Some acquaintance with Euclidean geometry is also desirable. In fact I have found that a course in Euclidean geometry fits together very well with the algebra in the first 12 chapters. But one can avoid the geometry in the book by simply omitting chapter 7 and the geometric parts of chapters 9 and 18.

The material in the book is organized linearly. There are few excursions away from the main path. The only significant parts which can be omitted are those just mentioned, the section in chapter 12 on P SL(2, Fp), chapter 13 on abelian groups and the section in chapter 14 on Berlekamp's algorithm.

Categories:

Tags:

Loading comments...

Scanning lists...

The book in numbers

global rank

rank in categories

online since

20/01/2014

rate score

Nothing yet...

votes

Nothing yet...

Social likes

Nothing yet...

Views

Downloads

This may take several minutes

Interest

Countries segmentation

This may take several minutes

Source Referers

Websites segmentation

evolution

This may take several minutes

Loading...