Computer Science Books

When I wanted to make a career change, this book was my primer on the basics of CNC programming and machining. It helped me to quickly pick up the essentials of this manufacturing process. I recommend it to anyone who wishes to get a foundation or refresher course in the basics, such as understanding shop math, G code programming, tooling, set-ups, speeds and feeds etc. These are the necessary building blocks for success in this field.

This book is probably one of the best Tech texts that I have yet seen. It covers a wide range of topics and keeps the reader interested with very good photograps and 3D drawings. There are several chapters for beginners to deal with shop trigonometry, metalworking data, blueprint reading, as well as a nice overview of CNC Mill and Lathe programming.
If Peter Smid's book is the best reference on the topic of CNC Programming, this book certainly is a close second for value. This book's contents are not as advanced as Mr. Smid's work, but it is more than adequate for most students in college, university, and apprentices wishing to learn the trade.

Good job!

Peter Eigler

This is an excellent foundations text for working professionals that have learned about computers and technology through the "school of hard knocks." Robert Shepherd and the EMC Paradigm staff have done an excellent job of organizing the relevant history and background of computers and associated technology. I use this text as part of graduate courses in educational technology to deal with concepts and theories, PRIOR to moving into specific software and hardware applications. In particular, their interactive Web Site provides slide shows, web links and additional readings to further build on the text and a student's overall learning experiences. This site allows for both online and computer lab delivery approaches.

My students have found the text an excellent resource to visit when the "techies" start using their "foreign language." A must have reference for the active professional that has not been to formal schooling on the topic. Additionally, I highly recommend this text and the related resources to other faculty, training specialists and education consultants.

This is an excellent foundations text for working professionals that have learned about computers and technology through the "school of hard knocks." Robert Shepherd and the EMC Paradigm staff have done an excellent job of organizing the relevant history and background of computers and associated technology. I use this text as part of graduate courses in educational technology to deal with concepts and theories, PRIOR to moving into specific software and hardware applications. In particular, their interactive Web Site provides slide shows, web links and additional readings to further build on the text and a student's overall learning experiences. This site allows for both online and computer lab delivery approaches.

My students have found the text an excellent resource to visit when the "techies" start using their "foreign language." A must have reference for the active professional that has not been to formal schooling on the topic. Additionally, I highly recommend this text and the related resources to other faculty, training specialists and education consultants.

This is a great introduction to the area for those already possessing good mathematical ability and knowledge of distribution theory. All the seminal theorems and references are in here and the reader would be wise to check them out. Well written and communicated, didn't find any typo's. Enjoyed it. This area is fast growing in the area of mathematical finance.

I just got this book, so I can't comment on the contents yet. However, I feel quite ripped off, because this is the previous edition. The hardcover, which is only $20 more is a new second edition, while the paperback is from 1999.

This book has everything from basics to more complicated maths. It also comes with algorithms which then can help you implement the theory you just learned.

This book is a great textbook for students who are interested in the control engineering field. Due to the difficulty, it is more focused for graduate students. This book has won the 1999 harold chestnut prize awarded by the International Federation of Automatic Control (IFAC). The topics are language and automata theory, supervisory control, Petri net theory, (max,+) algebra, Markov chains and queueing theory, discrete-event simulation, perturbation analysis, and concurrent estimation techniques. This book is used in many universities in the US but also in countries like Korea as well.

I loved the part where the little dog got run over by the truck and little billy ran after him

This book is very well put together. The material is presented in, at times, a jovial manner(hard to do with an instructional computer text). It's easy to understand and the authors have an incredible grasp on the subject matter.

Mathematicians are always aware of the precision and consistency of their asserts, so they need to be trained in the very fundamentals of their science.

This book provides an enlightening vision about the basis of mathematics exploring such abstract topics as the paradoxes of set theory, transfinite numbers, and much more.

I used this book as a reference in a course I gave on mathematical logic, set theory, and the fundamentals of the number systems.

This is one of those books that don't get old; although it was first published in 1952, and since then much has been made in Mathematical Logic, Kleene's book has that rare position of a book that influenced the subject on its own (and all the teaching books that came after). And if you are willing to understand Mathematical Logic, and principally the reasons behind most of the definitions, I think that this is the best book to start. As a reference it is perhaps the most cited book in the area. But the reading is pleasant, elegant and well motivated. This book has another kind of appeal, in my opinion - research in Logic split after the 1950's in two distinct areas: one, more mathematical in character, is called Model Theory and is strongly abstract, working mainly with the semantics; another, more philosophical and applied, deals mainly with the sintax - this last is the line of research of non-classical logics (philosophically interesting) and of automated procedures, like Smullyan's semantic tableaux for proof-theory (very useful for computation theory). Today the interconnections on these areas, that were initially very close, are dangerously disappearing. Kleene's book, having been written before this separation, is much more comprehensive than the modern textbooks. About the contents: it begins with a (very well) introduction explaining the meaning of Metamathematics. Then it treats Propositional, Predicate Calculi and Formal Number Theory, written in the classical spirit that unfortunately lacks today. The third part deals with recursive functions, and the author was a first-hand researcher in the field, with many important contributions. Finally, the last part treats Model Theory as it was known then (this section can be considered pretty incomplete today).

It's a very good book to begin in MG, with analysis made in an accessible way to someone acquainted with von Neuman method and common matrix analysis. (...)

This is a corrected version of one of the real classics in the multigrid field. Its first publisher allowed the price to skyrocket to the point that it still stands today as the most expensive multigrid book I own. The reprint is over $100 USD less than what I paid for my copy.

The book is completely self contained. It has one of nicest descriptions of finite volume methods in it that I know of. It covers all of the basic multigrid concepts in detail, both algorithmically and theoretically. It covers a lot more than basics as well.

While it was between regular publishers the author gratiously allowed a scanned copy to be downloaded from the multigrid community web site http://www.mgnet.org. It was one of the most downloaded items while it was there. (As an aside, it is no longer available on the web.)

While not the most recent multigrid book, it still is one of the best. The price, considering it is a hardback, is also very competitive.

I highly recommend this book, particularly for students who have not studied in depth numerical methods for solving partial differential equation.

There couldn't be a better book than this on Parallel programming and unix system call understanding.

Not only the theory is comprehensive but the practicals are also ready to use and can be put into use within a week of reading it!

A must buy for any one interested in Paralle Processing on UNIX system.

This book is a good start for parallel programming. It combines the computer science topics (i.e programming languages terms) with computer architecture terms (i.e. system level details) in a very smotth way. One should know C or Fortran77 in order to understand this topic. These are the only prerequisites to understand the material in this book. You donot need to know anything about parallel programming. However, if you know something about computer architecture, you will read and understand faster. A good to have book!

First, I have to say that I'm biased because I'm a former student of Prof. Coleman's (Multivariable Calc and ODE's). But I was happy to see that he had written a PDE book and I bought it so that I could relearn PDE's, since the PDE course I had wasn't so great. I haven't been disappointed. I've read most of the first six chapters so far - the book is easy to read and the explanations are clear. There are tons of homework problems and applications. However, I don't have access to MATLAB so I can't really comment on that aspect of the book.

I used this book for the first time this past semester. It is well written, although a bit informal for my taste (although the students seemed to like it). There are numerous exercises, although sometimes too many of the plug-and-chug variety, and I wish there were a few more of the highly challenging problems. The order of topics is exactly the way I like it, except that Chapter 5 is a little out of place. However, in a course like this I think it may be impossible to find a natural place for the method of characteristics. Most texts put it first, which doesn't seem right for a course that emphasizes Fourier methods. For our course, I interchanged Chapters 5 and 6. The MATLAB is not heavily integrated. That is a good thing, for a couple of reasons. It means that the mathematics, and not MATLAB, is the main focus, and it allows the text to be used with or without it. We did use MATLAB and it worked well. Overall, this was a good basic introduction to the subject. It steers a course between mathematical rigor on the one hand, and computation, physical intuition and applications on the other, and it does so quite well. I could envision its being used for a higher level course for scientists and engineers, though not for a course with a more theoretical bent.

I have read lots of introductory and advanced dsp books. In my opinion this book is the best book when it comes to learning fundamentals. This was the book along with the book i'll mention later which allowed me to read and understand more advanced books. Explanations are clear and supported with lots of figures and worked examples. Even though software examples provided on it's disk is very primitive and dated, they are still very helpful for beginners. (Source codes available and perfect for validating your understanding about formulas and calculations) I strongly recommend it. Understanding Digital Signal Processing (2nd Edition) by Richard G. Lyons is also great. If possible buy both otherwise buy this one.

In my opinion this is one of the best books on digital signal processing for beginners. It presents a clear and intuitive explanation of all the fundamental concepts needed for more advanced studies, providing a very good background and solid understanding of this subject.