books about: computation
books:
Computation
Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
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 ...
Introduction to the Theory of Computation, Second Edition
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 ...
Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)
Alan V. Oppenheim
,
Ronald W. Schafer
, ...
Prentice Hall
, 1999
Six star book on Digital Signal Processing
This is the outstanding 2nd edition of Oppenheim's classic DSP book, which for over two decades was the only real choice for a textbook on the subject. That was too bad, since the first edition was probably the worst thing I have ever seen in print - terse, ...
Discrete Mathematics with Applications
Susanna S. Epp
Brooks Cole
, 2003
Before you buy
Hello all, Just like many reviewers, I give this book 5 stars, why? First of all I am a senior majoring CSE and I hate all college text books. This book is an exception. The first three chapters is introduction to logics nothing much. From chapter four on the good ...
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 ...
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
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 ...
Discrete Mathematics (7th Edition)
Richard Johnsonbaugh
Prentice Hall
, 2008
I suppose it depends on who is reviewing it.
I got something from the book even if it was mostly review for me. I liked the recursion and graph sections. I have Schaum's outlines: 1) Essential Computer Mathematics 2) Data Structures That cover some but not all of the same material. So why are the customer ...
Discrete Mathematics with Graph Theory (3rd Edition)
Edgar G. Goodaire
,
Michael M. Parmenter
Prentice Hall
, 2005
An excellent choice for discrete if your emphasis is graphs
As a teacher of discrete mathematics, I must constantly scan new books in the never-ending search for the best one with appropriate content and level. The course that I teach is required and early in the computer science major. It also provides the mathematical ...
Introduction to Linear Optimization (Athena Scientific Series in Optimization and Neural Computation, 6)
Dimitris Bertsimas
,
John N. Tsitsiklis
Athena Scientific
, 1997
Nice intuition and good coverage
The best part of this book is the first half, where the foundations of linear programming are presented in a clear yet relatively rigorous fashion, accompanied by numerous intuitive geometrical explanations of the abstract general concepts. This approach, supplementing ...
Bayesian Computation with R (Use R)
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 ...
A New Kind of Science
Stephen Wolfram
Wolfram Media
, 2002
Big, Beautiful and Formidable
I received A New Kind of Science by Stephen Wolfram in July 2002. It sits on a shelf in a place of honor. Occasionally, I take it down and open it as one would an expensive Bible. Someday, I'll really study it. Until then I love its feel, its heft, its marvelous and ...
Computational Geometry: Algorithms and Applications
Mark de Berg
,
Otfried Cheong
, ...
Springer
, 2008
A very nice introduction to the field
The authors did a great job of introducing the reader to all the important aspects of the field of computational geometry while keeping it simple and understandable.
How to Solve It: Modern Heuristics
Zbigniew Michalewicz
,
David B. Fogel
Springer
, 2004
Optimization Mini-Library
This is the best book I have in my optimization library. It is excellent for students and teachers as well. It introduces you to optimization using a simple language, practical examples explained in a very didactical manner. It surveys optimization techniques and ...
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Ethem Alpaydin
The MIT Press
, 2004
Great Introduction
I was very happy with this book. The author used good judgement when deciding the level of detail to delve into for each concept. I was not brand new to machine learning but I still got alot out of the book.
Quantum Computation and Quantum Information
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 ...
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