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Text Books:
Algorithms
Textbook of Biochemistry With Clinical Correlations
by Thomas M. Devlin
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Product Review
"a very readable textideal for medicine or clinical biochemistry undergraduate studentshas much to offer to medicinal chemistry students" (Chemistry World, April 2004) "Outstanding…classicclear illustrations aboundan exceedingly thorough, accurate, and up-to-date volume." (The Quarterly Review of Biology) "A delightful book to read…I would recommend this book highlyfor any who seek to understand the biochemical basis of disease" (Annals of Clinical Biochemistry) "…I believe this text fills an important niche, and in that niche it is very well done…a very useful text for those going into medicine.” (Biochemistry and Molecular Education, July-August 2002) "a comprehensive biochemistry booknew material in key areas justifies the new edition" (Doody's Health, April 19, 2002) "There are numerous good textbooks available for general biochemistry, but medical, pharmacy, and other health professional students often question the relevance of the extensive coverage given tosimpler organismsDevlin's textbook fills the needs of these students, with its strong emphasis on human biochemistryan excellent choice for a pharmaceutical or medical biochemistry course." (Journal of Medicinal Chemistry, Vol. 45, No. 11) "This is a welcome and relatively inexpensive volume for students of biochemistry and especially those involved with clinical biochemistry".(Cell Biochemistry & Function, June 2003)
--This text refers to the
Hardcover
edition.
Annals of Clinical Biochemistry
"A delightful book to read. I would recommend this book highlyfor any who seek to understand the biochemical basis of disease"
--This text refers to the
Hardcover
edition.
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Elementary Linear Algebra with Applications
by Howard Anton and Chris Rorres
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$115.95
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Book Description
This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. - The applications version features a wide variety of interesting, contemporary applications.
- Clear, accessible, step-by-step explanations make the material crystal clear.
- Established the intricate thread of relationships between systems of equations, matrices, determinants, vectors, linear transformations and eigenvalues.
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Operations Research: Applications and Algorithms (with CD-ROM and InfoTrac)
by Wayne L. Winston
List Price: $147.95
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$138.98
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Book Description
The market-leading textbook for the course, Winston's OPERATIONS research owes much of its success to its practical orientation and consistent emphasis on model formulation and model building. It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. The Student Suite CD-ROM, which now accompanies every new copy of the text, contains the latest versions of commercial software for optimization, simulation, and decision analysis.
About The Author
Wayne L. Winston is Professor of Operations and Decision Technologies in the Kelley School of business at Indiana University, where he has taught since 1975. Wayne received his B.S. degree in Mathematics from MIT and his Ph.D. degree in Operations research from Yale. He has written the successful textbooks OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS, SIMULATION MODELING WITH @RISK, PRATICAL management SCIENCE, AND FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. Wayne has published over 20 articles in leading journals and has won many teaching awards, including the school-wide MBA award four times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance and marketing.
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An Introduction to Modern Bayesian Econometrics
by Tony Lancaster
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$44.95
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Book Description
About two hundred and forty years ago, an English clergyman named Thomas Bayes developed a method to calculate the chances of uncertain events in the light of accumulating evidence. Though his method has extensive applications to the work of economists, it is only recent advances in computing that have made it possible to exploit its full power.In this new and expanding area, Tony Lancaster's text provides a comprehensive introduction to the Bayesian way of doing applied economics. Using clear explanations and practical illustrations and problems, the text presents innovative, computer-intensive ways for applied economists to use the Bayesian method. In addition, each chapter includes numerical and graphical examples and demonstrates their solutions using the S programming language and Bugs software.
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Digital Video and HDTV Algorithms and Interfaces (The Morgan Kaufmann Series in Computer Graphics)
by Charles Poynton
List Price: $64.95
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$56.19
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Book Description
Rapidly evolving computer and communications technologies have achieved data transmission rates and data storage capacities high enough for digital video. But video involves much more than just pushing bits! Achieving the best possible image quality, accurate color, and smooth motion requires understanding many aspects of image acquisition, coding, processing, and display that are outside the usual realm of computer graphics. At the same time, video system designers are facing new demands to interface with film and computer system that require techniques outside conventional video engineering.
Charles Poynton's 1996 book A technical Introduction to Digital Video became an industry favorite for its succinct, accurate, and accessible treatment of standard definition television (SDTV). In Digital Video and HDTV, Poynton augments that book with coverage of high definition television (HDTV) and compression systems.
With the help of hundreds of high quality technical illustrations, this book presents the following topics:
* Basic concepts of digitization, sampling, quantization, gamma, and filtering * Principles of color science as applied to image capture and display * Scanning and coding of SDTV and HDTV * Video color coding: luma, chroma (4:2:2 component video, 4fSC composite video) * Analog NTSC and PAL * Studio systems and interfaces * Compression technology, including M-JPEG and MPEG-2 * Broadcast standards and consumer video equipment
Back Cover Copy
"This is the "Gamma Sutra" a guide to the pleasures of understanding electronic pictures. It's like having the world's best teacher giving you a private seminar on whatever you need to know." Mark Schubin, multiple Emmy Award-winning Fellow of the Society of Motion Picture and Television Engineers
"We are all looking forward to the benefits that will result from the convergence/collision between digital television and computers. This book is an invaluable reference in how digital video is done, both for TV people and for computer graphics people, and it will go a long way toward accelerating the convergence and in minimizing the damage it may cause to either party." From the Foreword by Jim Blinn, microsoft Research
Rapidly evolving computer and communications technologies have achieved data transmission rates and data storage capacities high enough for digital video. But video involves much more than just pushing bits! Achieving accurate color, smooth motion, and the best possible image quality requires understanding many aspects of image acquisition, coding, processing, and display that are outside the usual realm of computer graphics. At the same time, video system designers are facing increasing demands to interface with film and computer systems, and they therefore need to understand many of the techniques of computer graphics.
Digital Video and HDTV Algorithms and Interfaces covers the theory and engineering of digital video systems in a manner that is equally accessible to video engineers and computer graphics practitioners. It provides succinct and accurate treatment of standard-definition television (SDTV), high-definition television (HDTV), and compression systems. With the help of hundreds of high-quality technical illustrations and an extensive glossary, this book details the following topics:
*Basic concepts of digitization, sampling, quantization, gamma, and filtering
*Principles of color science as applied to image capture and display
*Scanning and coding of SDTV and HDTV
*Video color coding: luma, chroma (4:2:2 component video, 4fSC composite video)
*Analog NTSC and PAL
*Studio systems and interfaces, including SDI, IEEE 1394, and DV-over-1394
*Digital videotape recording
*Compression technology, including M-JPEG, DV, and MPEG-2
*Broadcast standards (including digital television, DTV) and consumer video equipment
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Elementary Linear Algebra
by Howard Anton
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$122.95
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Book Description
A first course in linear algebra for mathematics, engineering and computer science students. Praised over many editions for its expository style and clarity of presentation, the revision of this best-selling text combines linear algebra theory with applications, and addresses a new generation of students' changing needs. . This text can be used in a first or second year 1- or 2- semester course. Calculus is not a prerequisite, but there are exercises, examples, and applications for students with calculus backgrounds; they are clearly marked and can be omitted with no loss of continuity.
The publisher, John Wiley & Sons
Student Solutions Manual, Test Bank, Computerized Test Bank and Linear-Kit available.
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Information Theory, Inference and Learning Algorithms
by David J. C. MacKay
List Price: $60.00
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$43.46
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'This is an extraordinary and important book, generous with insight and rich with detail in statistics, information theory, and probabilistic modeling across a wide swathe of standard, creatively original, and delightfully quirky topics. David MacKay is an uncompromisingly lucid thinker, from whom students, faculty and practitioners all can learn.' Peter Dayan and Zoubin Ghahramani, Gatsby Computational Neuroscience Unit, University College, London 'This is primarily an excellent textbook in the areas of information theory, Bayesian inference and learning algorithms. Undergraduates and postgraduates students will find it extremely useful for gaining insight into these topics; however, the book also serves as a valuable reference for researchers in these areas. Both sets of readers should find the book enjoyable and highly useful.' David Saad, Aston University 'An utterly original book that shows the connections between such disparate fields as information theory and coding, inference, and statistical physics.' Dave Forney, Massachusetts Institute of Technology
Book Description
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.
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Mastering Algorithms with Perl
by John Macdonald, Jon Orwant, and Jarkko Hietaniemi
List Price: $34.95
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$22.02
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Written for readers with at least some Perl programming experience, Mastering Algorithms in Perl delivers a solid library of algorithms written in Perl for business and mathematical computing. From data structures to cryptography and more advanced mathematical algorithms, this book provides a worthwhile guide to extending Perl's coding capabilities. The best thing about Mastering Algorithms in Perl is the scope at which it covers the universe of algorithms while refraining from getting bogged down in academic detail. Besides basic data structures--a lynchpin of books on algorithms--the authors provide dozens and dozens of algorithms for sorting, searching, and doing mathematical computations of all kinds. While they discuss "Big-O" notation and assume a general familiarity with math, they don't overwhelm the reader. (You can even borrow the code without needing a math degree to understand it.) The focus is on efficient, reusable Perl subroutines written and compiled by three Perl experts. Standout chapters include extending Perl's already powerful string processing abilities, game programming, and cryptography. Generally, the authors achieve a good mix of more advanced (and less well-known) algorithms, along with the basics. Chances are you won't need to use all the dozen or so sorting algorithms presented here, but the authors include them all, just in case. As a reference and tutorial, readers can pick and choose what they need for real-world Perl development. There hasn't been a book dedicated exclusively to Perl algorithms prior to the publication of this one. In all, Mastering Algorithms in Perl fills a useful niche by compiling a powerful library of Perl algorithms that will be useful for anyone who works with this programming language, whether in business or academic computing. --Richard Dragan Topics covered: Perl data types, Big-O notation, data structures, queues, deques, linked lists, binary trees, sorting and searching algorithms, game and dynamic programming, sets and multisets, matrices and graphs, string matching and parsing, 2-D geometry, number systems, cryptography (including DES and RSA), probability, statistics, and numerical analysis.
From Library Journal
Perl is very similar to C in syntax, and while Perl doesn't have the speed of complied C, it has been getting much faster. It also is one of the most portable languages, available for most hardware with no changes in code. It is free, which makes it very attractive to developers. This guide covers everything from data structures, sorting and searching, to sets and matrices, to cryptography, probability, and statistics. Readers must already know Perl, so this is recommended for advanced programming collections. Copyright 1999 Reed business Information, Inc.
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Additional Pages: 1 2 3
© Adapt, Inc. 1998-2006
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