books about: computations

books about: computations

books:

Computations

Betcha! Estimating (Mathstart, Level 3)

Stuart J. Murphy

HarperTrophy, 1997

Get For First Tiem Estimators
This is a great book for children who know how to estimate and for those who are just learing. This book is filled with pictures and illistrations on how you would estimate wiht a many number of things. A thing that I liked about this book is that it just wasn't ...

Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)

Alan V. Oppenheim, Ronald W. Schafer, ...

Prentice Hall, 1999

Destined for a standard?
It is my pleasure to comment on this book which I recently purchased. I have two of Dr. Oppenheim's previous books. This book is a core integration of a topic with too many diverse starting points (mine was digital filters derived from Prony's method, not in the book ...

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 ...

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 ...

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 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 ...

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 ...

Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)

Barbara Chapman, Gabriele Jost, ...

The MIT Press, 2007

Good Performance on a Multicore Machine - Try OpenMP?
I have most of the parallel computing books out there so I am sort of a collector of sorts. Most focus on either the basics of parallel programming, MPI, OpenMP, both, or some other less popular (yet) paradigm e.g. PFortran, TBB, etc. With every parallel-computing ...

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 ...

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 ...

Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation (Systems on Silicon) (Systems on ...

Scott Hauck, Andre DeHon

Morgan Kaufmann, 2007

The textbook we've been waiting for
Reconfigurable computing (RC), of one kind or another, has been around at least since Estrin's work in the 1960s. FGPAs created the real platform for it in the 1980s but, as one of the RC's founders noted, "10×-100× of performance ... has been at the cost of 10×-100× ...

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.

Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity)

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 ...

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 ...

Schaum's Outline of Essential Computer Mathematics

Seymour Lipschutz

McGraw-Hill, 1982

Great book which helped me tremendously
This book tremendously helped me understand computers and their relationship to mathematics and helped clear about doubts all through the semesters in college that I studied computer science. I strongly recommend this book to anyone majoring in computer science, ...