books about: computation
books:
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
41 reviews
John E. Hopcroft
,
Rajeev Motwani
, ...
Addison Wesley
, 2006
Updated Classic Text
The previous edition of this text was published in the late 70's (1979), and it was still in use today in many schools and Universities across the world. For good reason too, the authors of this text really nail down the concept of computability as we understand it today. It is very difficult to find an undergraduate curriculum that does not include a course in Computability or theory of ...
Error Patterns in Computation: Using Error Patterns to Improve Instruction (9th Edition)
Robert B. Ashlock
Prentice Hall
, 2005
Reflecting many of the concerns of NCTM's Principles and Standards for School Mathematics, the ninth edition of Error Patterns in Computation is the only book available that assists teachers with identifying typical error patterns, receiving feedback on their diagnosis, and gaining insight regarding why a child may have adopted an incorrect procedure. Two major causes of error patterns - over-generalizing and over-specializing - are ...
Numerical Computation of Internal and External Flows
1 review
Charles Hirsch
Butterworth-Heinemann
, 2007
Very good book for Fluid Dynamics simulations.
It's a very good book, suitable for beginners and expert users of CFD tools since summarize all the basic and intermediate knowledge on numerical computation.
Introduction to the Theory of Computation, Second Edition
51 reviews
Michael Sipser
Course Technology
, 2005
My choice for textbook in my computation theory class
I recently encountered this book at a publisher's booth at a computer conference and read it on the ride back home. This morning I made a trip to the college bookstore and notified them that it is the textbook that I will be using in my computation theory class this spring. The chapter titles are: 0) Introduction - this chapter contains the fundamental mathematical background of sets, ...
Elements of the Theory of Computation (2nd Edition)
34 reviews
Harry R. Lewis
,
Christos H. Papadimitriou
Prentice Hall
, 1997
The most understandable book on computation theory I have used
Approximately two decades ago, I developed a course in the theory of computation for undergraduates. The coverage was finite automata, context-free languages, Turing machines and computational complexity. This was the text that I used and I have never regretted it and neither did the students. They found it to be very understandable, they were generally able to read and follow the proofs. Over ...
Adjustment Computations: Spatial Data Analysis
1 review
Charles D., Ph.D. Ghilani
,
Paul R., Ph.D. Wolf
Wiley
, 2006
source code error
I have tried some Pascal procedures in this book and found some errors with them. Please look into Table 26.3, 26.5 & 26.7. No error is found with Table 26.4. Hope the authors can debug all procedures and e-mail me the bug-free procedure.
Fundamentals of Matrix Computations
2 reviews
David S. Watkins
Wiley-Interscience
, 2002
interesting alternative to golub/van loan
This book is not that famous as the golub/van loan bible but it is more than competitive. Especially for undergraduate or even graduate students who want to become familiar with computational aspects of linear algebra the bible might be to compact; watkins gives one more help to understand the main ideas.
Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
26 reviews
Gene H. Golub
,
Charles F. Van Loan
The Johns Hopkins University Press
, 1996
The bible of numerical linear algebra
This book is the standard reference for all numerical linear algebra. It is a graduate-level applied math textbook written by practicing professionals for practicing professionals. If you are new to the topic you would probably prefer something like James Demmel's Applied Numerical Linear Algebra. If you are interested in implementing the algorithms in this book, stop right now and first ...
Bayesian Computation with R (Use R)
3 reviews
Jim Albert
Springer
, 2008
more practicality added to Bayesian inference
Jim Albert is a great teacher and an excellent writer. The R language is becoming one of the most used languages by statistical researchers. This is because it has many similarities to S and can be used freely, Jim makes R easy to learn for statisticians in this book. One of the big breakthroughs in Bayesian statistics over the past 2 decades was the implementation of complicated priors and ...
Quantum Computation and Quantum Information
28 reviews
Michael A. Nielsen
,
Isaac L. Chuang
Cambridge University Press
, 2000
A book that repays study
My first acquaintance with this book came from a copy which I ordered through interlibrary loan after seeing favorable comments on the internet. The loan period was only two weeks, so I wasn't able to study this 600-page book in detail. But I learned quite a bit just by skimming it. After I saw that it was a book that would repay study, I purchased it. The first chapter of 58 pages nicely ...
Feynman Lectures on Computation
12 reviews
Richard P. Feynman
,
Anthony Hey
, ...
Westview Press
, 2000
I like this book
Yes, I think you can teach the theory of computation from this book. And you can learn it from this book. Some of the material isn't all that recent, but much of it doesn't need to be. 35 years ago, if one were teaching a course on the theory of computation, I'd have recommended Minsky's book (it came out in 1967). That was a great text. Nowadays, there are numerous choices. But one could ...
Digital Signal Processing: Spectral Computation and Filter Design (The Oxford Series in Electrical and ...
1 review
Chi-Tsong Chen
Oxford University Press, USA
, 2000
Not much you won't find everywhere else
This is a not too bad but not too good discussion of all the usual DSP topics. The author chooses to do some very strange things, for example there is no explicit use of normalized frequency, but when discussing filter design it is used without much mention which could be very confusing. Good points for the book are some interesting MATLAB routines, and fairly comprehensive coverage at a ...
Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity)
3 reviews
John A. Hertz
Westview Press
, 1991
Introduction to the Theory of Neural Computation
This book is written from a mathematical perspective. The book introduces the Hopfield Neural Network with history and applications. The authors solve the network problem and develop the Hebb Rule. Links are made to Ising Spin models and stochastic problems. I find this book to be one of the best written mathematical guides for Neural Networks.
Introducing the Theory of Computation
Wayne Goddard
Jones & Bartlett Publishers
, 2008
Introducing the Theory of Computation is the ideal text for any undergraduate, introductory course on formal languages, automata, and computability. The author provides a concise, yet complete introduction to the important models of finite automata, grammars, and Turing machines, as well as undecidability and the basics of complexity theory. Numerous problems and programming exercises, varying in level of difficulty, round out each chapter and ...
Introduction to Languages and the Theory of Computation
23 reviews
John Martin
McGraw-Hill Science/Engineering/Math
, 2002
Breadth Of Information
I normally don't write reviews. Couple of not very positive reviews could not stop me writing one for this title. In my opinion, this book really presents a breadth of information on the subject. If one is considering to buy this book, one should have due background in Discrete Mathematics.
Engineering Computation with MATLAB
David Smith
Addison Wesley
, 2007
KEY MESSAGE: Engineering Computation with MATLAB ® introduces the power of computing to engineering readers with no previous programming experience. By spending time on meaningful engineering examples, professor and trained engineer David Smith places the fundamental tenets of computer programming into the context of MATLAB, a user-friendly language for engineers. Introduction to Computers and Programming; Getting Started with ...
Introduction to Scientific Computation and Programming
1 review
Daniel Kaplan
Cengage-Engineering
, 2003
Excellent book with practical usage
The book is well-written, interesting and you can do a lot after reading it! It is for both beginners who don't have any idea of programming and even for people with experience, you will still find something here. Very suitable to be a textbook.
Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience)
8 reviews
Christof Koch
Oxford University Press, USA
, 2004
How smart is a neuron?
For young scientists who are interested in understanding the dynamics of the human brain this change in collective attitude is of profound significance, to which Koch's book provides an ideal introduction.Written in a precise yet easy style, the 21 chapters of Biophysics of Computation begin at the beginning, introducing the reader to elementary electrical properties of membrane patches, linear ...
Numerical Computation in Science and Engineering
1 review
C. Pozrikidis
Oxford University Press, USA
, 1998
excellent book on numerical methods
This is an extremely useful and well-written book. It is perfectly organized and very well structured. The level is just right; not too simple and not too tough. The software is a big bonus. Everything I have needed on numerics I have found in this book. Highly recommended.
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