The Book of Basketball: The NBA According to The Sports Guy

Product Description
There is only one writer on the planet who possesses enough basketball knowledge and passion to write the definitive book on the NBA.* Bill Simmons, the from-the-womb hoops addict known to millions as ESPN.com’s Sports Guy, is that writer. And The Book of Basketball is that book.

Nowhere in the roundball universe will you find another single volume that covers as much in such depth as this wildly opinionated and thoroughly entertaining look at the past, present, and future of pro basketball.

From the age-old question of who actually won the rivalry between Bill Russell and Wilt Chamberlain to the one about which team was truly the best of all time, Simmons opens–and then closes, once and for all–every major pro basketball debate. Then he takes it further by completely reevaluating not only how NBA Hall of Fame inductees should be chosen but how the institution must be reshaped from the ground up, the result being the Pyramid: Simmons’s one-of-a-kind, five-level shrine to the ninety-six greatest players in the history of pro basketball. And ultimately he takes fans to the heart of it all, as he uses a conversation with one NBA great to uncover that coveted thing: The Secret of Basketball.

Comprehensive, authoritative, controversial, hilarious, and impossible to put down (even for Celtic-haters), The Book of Basketball offers every hardwood fan a courtside seat beside the game’s finest, funniest, and fiercest chronicler.



* More to the point, he’s the only one crazy enough to try to pull it off.


About the Author
Bill Simmons writes “The Sports Guy” column for ESPN.com’s Page 2 and ESPN: The Magazine. He is the author of Now I Can Die In Peace, founded the award-winning bostonsportsguy.com website, and was a writer for Jimmy Kimmel Live. He commutes between his home in Los Angeles and Fenway Park.

Handbook of Functional Neuroimaging of Cognition, 2nd Edition (Cognitive Neuroscience)

Product Description

This essential resource on neuroimaging provides an accessible and user-friendly introduction to the field written by leading researchers. The book describes theoretical and methodological developments in the use of functional neuroimaging techniques to study the neural basis of cognition, from early scientific efforts to link brain and behavior to the latest applications of fMRI and PET methods. The core of the book covers fMRI and PET studies in specific domains: attention, skill learning, semantic memory, language, episodic memory, working memory, and executive functions. By introducing a technique within the description of a domain, the book offers a clear explanation of the process while highlighting its biological context. The emphasis on readability makes Handbook of Functional Neuroimaging of Cognition ideal for classroom use in advanced undergraduate and graduate courses in cognitive neuroscience.

This second edition has been completely updated to reflect new developments in the field, with existing chapters rewritten and new chapters added to each section. The section on history and methods now includes a chapter on the crucial topic of the physics of functional neuroimaging; the chapters on skill learning and executive functions are new to the domain section; and chapters on childhood development and emotion and social cognition have been added to the section on developmental, social, and clinical applications. The color insert has been increased in size, enhancing the visual display of representative findings.

Contributors:
Todd S. Braver, Jeffrey Browndyke, Roberto Cabeza, B. J. Casey, Jody Culham, Clayton E. Curtis, Mark D'Esposito, Sander Daselaar, Lila Davachi, Ian Dobbins, Karl J. Friston, Barry Giesbrecht, Todd C. Handy, Joseph B. Hopfinger, Scott A. Huettel, Irene P. Kan, Alan Kingstone, Eleni Kotsoni, Kevin S. LaBar, George R. Mangun, Gregory McCarthy, Uta Noppeney, Robyn T. Oliver, Elizabeth A. Phelps, Russel A. Poldrack, Cathy J. Price, Marcus E. Raichle, Hannes Ruge, Gaia Scerif, Allen W. Song, Sharon L. Thompson-Schill, Daniel T. Willingham, Richard J. S. Wise
Product Details

* Amazon Sales Rank: #210761 in Books
* Published on: 2006-05-15
* Number of items: 1
* Binding: Hardcover
* 502 pages

Editorial Reviews

Review
"The revised Handbook is an extraordinarily valuable resource for psychologists, neuroscientists, and all others interested in the ways that neuroimaging is illuminating the relation between mind and brain. An enormous amount of ground is covered in these articles, and they provide a systematic review and integration of the field. Students, teachers, and researchers in many fields have a lot to gain from the rich overview of theory and findings in these pages."
--Stephen M. Kosslyn, John Lindsley Professor of Psychology in Memory of William James, Harvard University

"The second edition of this book is even better than the first. The contributions are first rate and provide an excellent survey of current research on functional neuroimaging of cognition while capturing the excitement of new developments. It is an ideal text to use in upper-level undergraduate and graduate courses, and a must for researchers in cognitive neuroscience."
--Morris Moscovitch, Max and Gianna Glassman Chair in Neuropsychology and Aging, University of Toronto

"Congratulations to both the editors and the contributors! This handbook provides thorough and easily understandable insights into one of the most exciting areas of present and future research: human cognition and its representation in the brain. It constitutes an authoritative compilation of the scientific work of the field's experts, edited with skill and good judgment."
--Hans Markowitsch, University of Bielefeld, Germany

Book Info
(Bradford Books) Duke Univ., Durham, N.C. A handbook, for researchers and clinicians, on the neuroimaging of cognitive process using the latest positron emission tomography and functional magnetic resonance techniques. Gives the history and methods of these techniques, covers recent findings in several areas of cognition, and examines research on the cognitively impaired.

About the Author
Roberto Cabeza is Associate Professor of Psychological and Brain Sciences, Core Faculty Member for the Center for Cognitive Neuroscience, and Senior Fellow at the Center for Aging and Human Development at Duke University.

Alan Kingstone is a Distinguished University Professor and Killam Scholar at the University of British Columbia as well as Senior Scholar at the Michael Smith Foundation for Health Research in Vancouver.
Customer Reviews

Excellent & comprehensive intro5
This is an excellent book, focusing on fMRI and PET, that goes over in detail methodology and applications. The methodology sections includes details on the underlying physiology (it's more complicated than just blood flow and 02 extraction)and critiques the commonly used subtraction method, preferring instead event-evoked studies. Going beyond the simplistic concepts of areas "lighting up" being "for" this or that cognitive function, there is coverage of network analysis. The methodology is obviously still in an early evolutionary phase, and each chapter has closing section on controversies and future directions. The application sections cover neuroimaging of attention, visual recognition, semantic, episodic and working memory, and language. There is good critical review of the literature here, and there is no tendency towards oversimplification of conflicting results. There is also a chapter on cognitive aging that I found particularly informative, showing how the elderly utilize different neural networks than younger people to perform various cognitive tasks. The book is about 400 pages and includes 22 color plates. This is a very rich and rapidly evolving research area, and I think this is a great intro book for clinicians in neurology, psychology and psychiatry, as well as neuroradiology, to get an appreciation of what just a few years ago was a science fiction concept...taking pictures of the mind as it thinks.

Number Theory (Dover Books on Advanced Mathematics) by George E. Andrews

Product Description

Written by an distinguished mathematician and teacher, this undergraduate text uses a combinatorial approach to accommodate both math majors and liberal arts students. In addition to covering the basics of number theory, it offers an outstanding introduction to partitions, plus chapters on multiplicativity-divisibility, quadratic congruences, additivity, and more.

Product Details

* Amazon Sales Rank: #216294 in Books
* Published on: 1994-10-12
* Number of items: 1
* Binding: Paperback
* 259 pages

Customer Reviews

Good4
The author tries to make things easy, and he succeeds in most parts. However, some proofs seem to be simple, but they actually involve complicated reasoning. My suggestion is that the author should not try to hide these difficult parts by reformulating abstract things into simple objects because it doesn't really help. I'd rather see difficulties in proofs than follow them with no idea why they have to be like that.

chimpanzee oven mitts4
I have a background in logic but absolutely none in elementary number theory or abstract algebra and I am using this as a first-time study guide. I find it very good. I have to mull over some of the proofs and examples since certain shortcuts are not immediately evident to me, but everything is generally clear and easy to follow. There are very few historical remarks which may or may not be a bonus for some. And as Dover does, they are practically giving this thing away.

Won't Be Over Your Head5
The other reviews pretty much say it all. The book begins with a pedestrian approach to the topic and then gradually becomes more complex. Should be accessible to most readers.

Quantitative Analysis for Investment Management by Jr. Robert A. Taggart

Product Details

* Amazon Sales Rank: #1516367 in Books
* Published on: 1996-01-05
* Format: Facsimile
* Number of items: 1
* Binding: Paperback
* 306 pages

Editorial Reviews

The publisher, Prentice Hall Business Publishing
The purpose of the book is to provide a concise overview of the quantitative tools and models that have been most widely used in investment management. It is the premise of the book that many of the most popular quantitative techniques have certain elements in common, and that if these elements can be understood, the reader can gain a working understanding of a wider variety of complex securities and portfolio management techniques.

From the Back Cover
Key Benefit: The purpose of the book is to provide a concise overview of the quantitative tools and models that have been most widely used in investment management. It is the premise of the book that many of the most popular quantitative techniques have certain elements in common, and that if these elements can be understood, the reader can gain a working understanding of a wider variety of complex securities and portfolio management techniques. Key Topics: Helps the professional who does not necessarily aspire to be a technical specialist gain a working understanding of the new technology of finance; focuses on the analysis and valuation of individual securities and considers portfolios of securities; emphasis is on the numerical problems and spreadsheet exercises at the end of each chapter, reflecting a belief that the material is best learned if readers work with it and try to apply the basic principles in a variety of contexts.
Customer Reviews

I recommend undergraduate student3
I'm graduate student now.I looked for the book to read more mathmatically ones.This book is very cleary, plain. You can read without knowledge of math and probability.So he explain wide area.

But is not suitable for me. Because of too easy! For finance with mathematics, I recommend [An introduction to the mathematics of financial derivatives:S.N.Neftci ].

Then if you haven't ever read the book of this field,this book is good for you!

Introduction to Probability Models by Sheldon M. Ross

Product Description

The seventh edition of the successful Introduction to Probability Models introduces elementary probability theory and the stochastic processes and is particularly well-suited to those applying probability theory to the study of phenomena in engineering, management science, the physical and social sciences, and operations research. Skillfully organized, Introduction to Probability Models covers all essential topics. Sheldon Ross, a talented and prolific textbook author, distinguishes this carefully and substantially revised book by his effort to develop in students an intuitive, and therefore lasting, grasp of probability theory. The seventh edition includes many new examples and exercises, with the majority of the new exercises being less demanding of the student. In addition, the text introduces stochastic processes, stressing applications, in an easily understood manner. There is a comprehensive introduction to the applied models of probability that stresses intuition. Both students and professors will agree that this is the most solid and widely used text for probability theory.

* Provides a detailed coverage of the Markov Chain Monte Carlo methods and Markov Chain covertimes
* Gives a thorough presentation of k-record values and the surprising Ignatov's theorem
* Includes examples relating to: "Random walks to circles," "The matching rounds problem," "The best prize problem" and many more
* Contains a comprehensive appendix with the answers to approximately 100 exercises from throughout the text
* Accompanied by a complete instructor's solutions manual with step-by-step solutions to all exercises
NEW TO THIS EDITION
* Includes many new and easier examples and exercises
* Offers new material on utilizing probabilistic method in combinatorial optimization problems
* Includes new material on suspended animation reliability models
* Contains new material on random algorithms and cycles of random permutations
Product Details

* Amazon Sales Rank: #834330 in Books
* Published on: 2000-02
* Number of items: 1
* Binding: Hardcover
* 693 pages

Editorial Reviews

Review
“...perfect for actuaries…a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book."
--Jean Lemaire, University of Pennsylvania, Wharton School

“The examples, like the exercises are great...”
--Matt Carlton, California Polytechnic State University

Book Info
Includes nearly 600 new or updated exercises, with over 100 solutions provided, new derivations for the Poisson and nonhomogeneous Poisson processes, optimization of single server, general service time queue and analysis of a series structure reliability model in which components enter a state of suspended animation upon cohort failure.

Back Cover Copy
The Seventh Edition of Ross' Intorduction to Probability Models represents the continuing convergence of this best-selling book with the widening indispensability of probability in pure and applied science.
Revised and updated, Introduction to Probability Models is particularly well suited to those seeking an understanding of how probability theory and stochastic processes apply to phenomena in such fields as engineering, management science, the physical and social sciences, and operations research.
While retaining its focus on elementary probability and stochastic processes, this edition's significant revisions include:
* Nearly 600 new or updated exercises, with over 100 solutions provided
* New derivations for the Poisson and nonhomogeneous Poisson processes
* Optimization of a single server, general service time queue
* Analysis of a series structure reliability model in which components enter a state of suspended animation upon cohort failure
Sheldon M. Ross has published numerous textbooks and technical articles in the areas of statistics and applied probability. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, published by Cambridge University Press. He is a fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt U.S. Senior Scientist Award.
Customer Reviews

does not explain the concepts so well; just one proposition after the other2
We had this book for a 4th year Computer Science - Statistics course.

I agree with some of the other reviewers that - inspite of claiming to be an 'introductory' text book - it does not explain the concepts so well.

e.g. Bayes Theorem has been introduced in like half a page with absolutely no explaination of prior and posterior probablities and the underlying concepts (something I learnt when we applied Bayes Formula in a Neural Networks & Data Mining course)

So all you get are the formulae from this book (at least in the first few chapters that I read), where the author should have spent more time 'introducing' concepts.

The solved examples are ok, but very academic - and there is no way to be sure of your answers for the other non-solved questions (unless you have a lecturer to discuss them with)

2 Stars - because they ought to start writing math books that regular people can read and understand and appreciate - not just math prodigies

Dense and difficult to follow.2
This book contains a wealth of information about probability models, but it's so hard to follow that I can't extract any of that information to make any use of it. From the other reviews, I gather that it is a good resource for some. But this definitely not an INTRODUCTION to Probability Models unless you have a very strong background in general probability.

one of the best introduction to probability and stochastic processes5
Understanding probability requires various resources to read. I think this book is one of the irreplaceable element in these resources. It is an introduction book as the name implies. Examples are illuminating the subject very well.

Asset & Risk Management by Louis Esch

Product Description

The aim of this book is to study three essential components of modern finance – Risk Management, Asset Management and Asset and Liability Management, as well as the links that bind them together.

It is divided into five parts:

* Part I sets out the financial and regulatory contexts that explain the rapid development of these three areas during the last few years and shows the ways in which the Risk Management function has developed recently in financial institutions.
* Part II is dedicated to the underlying theories of Asset Management and deals in depth with evaluation of financial assets and with theories relating to equities, bonds and options.
* Part III deals with a central theory of Risk Management, the general theory of Value at Risk or VaR, its estimation techniques and the setting up of the methodology.
* Part IV is the point at which Asset Management and Risk Management meet. It deals with Portfolio Risk Management (the application of risk management methods to private asset management), with an adaptation of Sharpe’s simple index method and the EGP method to suit VaR and application of the APT method to investment funds in terms of behavioural analysis.
* Part V is the point at which Risk Management and Asset and Liability Management (ALM) meet, and touches on techniques for measuring structural risks within the on and off balance sheet.

The book is aimed both at financial professionals and at students whose studies contain a financial aspect.

"Esch, Kieffer and Lopez have provided us with a comprehensive and well written treatise on risk. This is a must read, must keep volume for all those who need or aspire to a professional understanding of risk and its management."
—Harry M Markowitz, San Diego, USA
Product Details

* Amazon Sales Rank: #737099 in Books
* Published on: 2005-03-25
* Number of items: 1
* Binding: Hardcover
* 424 pages

Editorial Reviews

From the Inside Flap
This book provides a very useful teaching tool suitable for use by both undergraduates and post-graduates, who have chosen to include a financial element in their studies. There are many numbered illustrations and a CD-Rom for practical application.

The work is also aimed at professionals working in the market (private or business fund managers or pension managers, market operators and business managers), risk managers and asset and liability managers, auditors and people working generally in the field of risk management.

From the Back Cover
The aim of this book is to study three essential components of modern finance – Risk Management, Asset Management and Asset and Liability Management, as well as the links that bind them together.

It is divided into five parts:

* Part I sets out the financial and regulatory contexts that explain the rapid development of these three areas during the last few years and shows the ways in which the Risk Management function has developed recently in financial institutions.
* Part II is dedicated to the underlying theories of Asset Management and deals in depth with evaluation of financial assets and with theories relating to equities, bonds and options.
* Part III deals with a central theory of Risk Management, the general theory of Value at Risk or VaR, its estimation techniques and the setting up of the methodology.
* Part IV is the point at which Asset Management and Risk Management meet. It deals with Portfolio Risk Management (the application of risk management methods to private asset management), with an adaptation of Sharpe’s simple index method and the EGP method to suit VaR and application of the APT method to investment funds in terms of behavioural analysis.
* Part V is the point at which Risk Management and Asset and Liability Management (ALM) meet, and touches on techniques for measuring structural risks within the on and off balance sheet.

The book is aimed both at financial professionals and at students whose studies contain a financial aspect.

"Esch, Kieffer and Lopez have provided us with a comprehensive and well written treatise on risk. This is a must read, must keep volume for all those who need or aspire to a professional understanding of risk and its management."
—Harry M Markowitz, San Diego, USA

About the Author
Louis Esch Doctor of Mathematical Science at the University of Liège, and a researcher there in the Department of Probability Theory and Mathematical Statistics. He currently teaches quantitative methods and financial modelling at the School of Higher Business Studies in Liège, where he is science manager for post-graduate education in Finance and Insurance and President of the "Quantitative Management Methods" unit. He is also conference master at the University of Liège.

Robert Kieffer Treasurer at Banque Degroof Luxembourg SA, honorary board member of ACI Luxembourg and Course Manager at the Luxembourg Institute of Banking Training.

Thierry Lopez Certificated Business Engineer at the School of Higher Business Studies in Liège, and manager of the Risk Management Group at Kredietbank SA in Luxembourg, Conference Master at the University of Liège, Professor of Honour at the School of Higher Business Studies in Liège, Course Manager at the Luxembourg Institute of Banking Training and at the Luxembourg Risk Management Finance Technology Transfer Agency, Honorary President and Vice-President of PRIM (Luxembourg Association of Risk Management Professionals).

Assisted by: Christian Berbé, Pascal Damel, Michel Debay, Jean-François Hannosset.

Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability and Statistics) by Peter Bloomfield

Product Description

A new, revised edition of a yet unrivaled work on frequency domain analysis

Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exercises acquaint readers with Fourier analysis and its applications. The Second Edition:

* Devotes an entire chapter to complex demodulation
* Treats harmonic regression in two separate chapters
* Features a more succinct discussion of the fast Fourier transform
* Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility
* Includes Web addresses for all time series data used in the examples

An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Second Edition also provides easy access to sophisticated statistical tools for scientists and professionals in such areas as atmospheric science, oceanography, climatology, and biology.
Product Details

* Amazon Sales Rank: #889468 in Books
* Published on: 2000-02-04
* Number of items: 1
* Binding: Hardcover
* 288 pages

Editorial Reviews

Review
"These two new books are both new editions of time series classics that will be welcomed by practitioners." (Technometrics, Vol. 42, No. 4, May 2001)

"The first edition stood out as a model...this new edition holds up very successfully while incorporating a quarter century of change" (Short Book Reviews, December 2000)

"this is a very accessible book" (The Statistician, Vol.50, No.4, 2001)

Short Book Reviews, December 2000
"The first edition stood out as a model...this new edition holds up very successfully while incorporating a quarter century of change"

The Statistician, Vol.50, No.4, 2001
"this is a very accessible book"
Customer Reviews

excellent treatment of frequency domain time series methods5
As a time series analyst who studied time series in graduate school when the first edition of Bloomfield's book came out, I really appreciated it. The frequency approach to time series is not natural because we tend to look at the series to see how it changes (fluctuates) over time. This makes the time domain approach very natural. It is only when one sees periodicity in the series and can relate the series to a summation of sine and cosine waves that the frequency domain ideas get appreciated.
Bloomfield introduces Fourier series in a gentle way, making it clear. Concepts are introduced as needed to deal with specific aspects of real time series data.

I particularly liked his treatment of complex demodulation, which could be a very difficult concept to grasp if not presented carefully. But Bloomfield explains it well and provides another way to look at the famous Wolfer sunspot data using an approach based on complex demodulation (assuming a slowly changing period for the series).

The second edition is now out with additional topics and corrections. I have only read the first edition. So my comments only pertain to that edition. This is the best introductory text to frequency domain time series analysis that I have ever read.

nice beginning treatment of frequency domain time series5
As a time series analyst who studied time series in graduate school when the first edition of Bloomfield's book came out, I really appreciated it. The frequency approach to time series is not natural because we tend to look at the series to see how it changes (fluctuates) over time. This makes the time domain approach very natural. It is only when one sees periodicity in the series and can relate the series to a summation of sine and cosine waves that the frequency domain ideas get appreciated.

Bloomfield introduces Fourier series in a gentle way, making it clear. Concepts are introduced as needed to deal with specific aspects of real time series data. I particularly liked his treatment of complex demodulation, which could be a very difficult concept to grasp if not presented carefully. But Bloomfield explains it well and provides another way to look at the famous Wolfer sunspot data using an approach based on complex demodulation (assuming a slowly changing period for the series).

Handbook of Time Series Analysis, Signal Processing, and Dynamics (Signal Processing and its Applications)

Product Description

The aim of this book is to serve as a graduate text and reference in time series analysis and signal processing, two closely related subjects that are the concern of a wide range of disciplines, such as statistics, electrical engineering, mechanical engineering and physics.
The book provides a CD-ROM containing codes in PASCAL and C for the computer procedures printed in the book. It also furnishes a complete program devoted to the statistical analysis of time series, which will be attractive to a wide range of academics working in diverse mathematical disciplines.
Product Details

* Amazon Sales Rank: #899436 in Books
* Published on: 1999-11-03
* Number of items: 1
* Binding: Hardcover
* 848 pages

Editorial Reviews

Book Info
Presents methods designed for the purpose of analyzing series of statistical observations, taken at regular intervals of time. Provides the firm mathematical framework needed to bear the weight of the practical applications.
Customer Reviews

Excellent Reference Book for Engineers & Statisticians5
I have been using this book for several months now and its a great reference book for the applied statistician and engineer. I got this book hoping to get pseudo-code for standard time-series analysis, fourier transforms, etc. In addition to the algorithms, I was extremely impressed by the clear explanations of difficult mathematical concept and descriptions of the numerical methods used. I'm now using this as a text to educate myself on several topics !

I think the author has done a great service to the community by writing this excellent book. If you're the kind of person who is interested in understanding the math behind the methods as well as in practical numerical implementation, this book is for you ! My only suggestion is that in the next edition, the author should also consider providing Matlab m-files for the algorithms.

Broad Mathematical Background4
I found this book to be mainly interesting for those researchers or practicioners who find themselves diving into the river of time series analysis and try to survive not having a very strong mathematical background. This book should allow them to apply the most classic mathematical tools such as time-domain and spectral-domain techniques to their time series problems (provided they are "relatively non-complex") and also to gain confidence in the use of the mathematical apparatus when doing their research or writing about the subject of time-series analysis.

For more complex situations, however, the methods presented may become weak and other scenarios such as neural, fuzzy or "computational intelligence" in general should be more indicated. This book does not deal with those subjects, but I appreciated the rather clear way it exposes the main mathematical aids for the comprehension and analysis of time series data.

Also remarkable are the extense bibliographical references and the CD-ROM containing code routines in C and Pascal for most of the methods explained, along with libraries, a means of doing queries to the bibliography and the .PDF version of the book itself, with a couple Appendixes added.

Good for the starters in time-series analysis3
Well written, this book would be good for the practitioners with engineering background and without rigorous mathematics. The coverage is rather conventional or classical in the sense that intelligent appoaches are not touched.

Schaum's Mathematical Handbook of Formulas and Tables by Murray R Spiegel

Product Description

Students and research workers in mathematics, physics, engineering and other sciences will find this compilation of more than 2000 mathematical formulas and tables invaluable. They will see quickly why half a million copies were sold of the first edition! All the information included is practical -- rarely used results are excluded. Topics range from elementary to advanced-from algebra, trigonometry and calculus to vector analysis, Bessel functions, Legendre polynomials and elliptic integrals. Great care has been taken to present all results concisely and clearly. Excellent to keep as a handy reference!
Product Details
Amazon Sales Rank: #19523 in Books
Published on: 1998-10-31
Number of items: 1
Binding: Paperback
278 pages
Editorial Reviews

From the Back Cover

Students love Schaum's Outlines! Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's!

If you don't have a lot of time but want to excel in class, this book helps you:
Brush up before tests
Find answers fast
Learn key formulas and tables
Study quickly and more effectively

Schaum's Outlines give you the information teachers expect you to know in a handy and succinct formatwithout overwhelming you with unnecessary detail. You get a complete overview of the subject, plus plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's let you study at your own pace and reminds you of all the important facts you need to rememberfast! And Schaum's are so complete, they're perfect for preparing for graduate or professionalexams!

Inside, you will find:
More than 2400 formulas and tables
Clear and concise explanations of all results
Formulas and tables for elementary to advanced topics
Complete index to all topics

If you want top grades and easy-to-use information for your math and science courses, this powerful study tool and reference is the best guide you can have!

About the Author
Murray Speigel, Ph.D., was Former Professor and Chairman of the Mathematics Department at Rensselaer Polytechnic Institute, Hartford Graduate Center.
Customer Reviews

Guide for any Engineering Student.
This handbook is a must have for any junior level or higher engineering major or any major that deals with advanced mathematics. It contains detailed and easy to understand charts and tables ranging from College Algebra and Trigonometry to Advanced Calculus and Differential Equations. It is also a must have reference book to anyone needing to access to advanced mathematics formulas.

Excellent Text for Undergrads or Grads
This book has everything in it as far as formulas. If you are looking for examples, this is not the book for you. I had some difficulty remembering Integration by Parts for my current Grad class. This book helped out. It also helps out for all those pesty integrals and derivatives as well. I've been using this book for 2 months in my classes. Although I don't always use it, I never leave home without it.

Also covers Taylor and Fourier Series, Laplace Transforms, Statistics, and other stuff as an engineer I've never had to learn and never plan to. ;)

Mathematical Handbook of Formulas and Tables
A very useful book that gathers all the mathmatical formals 'as the title states. As an Engineering Student it is very helpful to have everything in one text instead of getting your old books and digging through them to find them.

Differential Galois Theory and Non-Integrability of Hamiltonian Systems (Progress in Mathematics) by Juan J. Morales Ruiz

Product Description


This book is devoted to the relation between two different concepts of integrability: the complete integrability of complex analytical Hamiltonian systems and the integrability of complex analytical linear differential equations. For linear differential equations, integrability is made precise within the framework of differential Galois theory. The connection of these two integrability notions is given by the variational equation (i.e. linearized equation) along a particular integral curve of the Hamiltonian system. The underlying heuristic idea, which motivated the main results presented in this monograph, is that a necessary condition for the integrability of a Hamiltonian system is the integrability of the variational equation along any of its particular integral curves. This idea led to the algebraic non-integrability criteria for Hamiltonian systems. These criteria can be considered as generalizations of classical non-integrability results by Poincaré and Liapunov, as well as more recent results by Ziglin and Yoshida. Thus, by means of the differential Galois theory it is not only possible to understand all these approaches in a unified way but also to improve them. Several important applications are also included: homogeneous potentials, Bianchi IX cosmological model, three-body problem, Hénon-Heiles system, etc.

The book is based on the original joint research of the author with J.M. Peris, J.P. Ramis and C. Simó, but an effort was made to present these achievements in their logical order rather than their historical one. The necessary background on differential Galois theory and Hamiltonian systems is included, and several new problems and conjectures which open new lines of research are proposed.
Product Details
Amazon Sales Rank: #294990 in Books
Published on: 1999-09-24
Number of items: 1
Binding: Hardcover
168 pages
Editorial Reviews

Review

"...[an] account of recent work of the author and co-workers on obstructions to the complete integrability of complex Hamiltonian systems. The methods are of considerable importance to practitioners... The book provides all the needed background...and presents concrete examples in considerable detail... The final chapter...includes a fascinating account of work-in-progress by the author and his collaborators... Of particular interest...is the program of extending the differential Galois theory to higher-order variational equations... [an] excellent introduction to non-integrability methods in Hamiltonian mechanics [that] brings the reader to the forefront of research in the area. The inclusion of a large number of worked-out examples, many of wide applied interest, is commendable. There are many historical references, and an extensive bibliography."

--Mathematical Reviews

A Computational Introduction to Number Theory and Algebra by Victor Shoup

Product Description

Number theory and algebra play an increasingly significant role in computing and communications, as evidenced by the striking applications of these subjects to such fields as cryptography and coding theory. This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The mathematical prerequisites are minimal: nothing beyond material in a typical undergraduate course in calculus is presumed, other than some experience in doing proofs - everything else is developed from scratch. Thus the book can serve several purposes. It can be used as a reference and for self-study by readers who want to learn the mathematical foundations of modern cryptography. It is also ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students.
Product Details
Amazon Sales Rank: #125444 in Books
Published on: 2005-06-06
Number of items: 1
Binding: Hardcover
534 pages
Editorial Reviews

Download Description
Number theory and algebra play an increasingly significant role in computing and communications, as evidenced by the striking applications of these subjects to such fields as cryptography and coding theory. This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The mathematical prerequisites are minimal: nothing beyond material in a typical undergraduate course in calculus is presumed, other than some experience in doing proofs - everything else is developed from scratch. Thus the book can serve several purposes. It can be used as a reference and for self-study by readers who want to learn the mathematical foundations of modern cryptography. It is also ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students.

Review
"This is an outstanding and well-written book whose aim is to introduce the reader to a broad range of material -- ranging from basic to relatively advanced -- without requiring any prior knowledge on the part of the reader other than calculus and mathematical maturity. That the book succeeds at this goal is quite an accomplishment! ...this book is a must-read for anyone interested in computational number theory or algebra and especially applications of the latter to cryptography. I would not hesitate, though, to recommend this book even to students 'only' interested in the algebra itself (and not the computational aspects thereof); especially for computer science majors, this book is one of the best available introductions to that subject."
SIGACT News

“As computer science students have very likely not previously mastered probability theory, linear algebra, or basic abstract algebra, Shoup packages crash courses in each. Despite taking time for so many basics, Shoup climaxes with careful treatment of the late-breaking, ingenious, polynomial-time deterministic primality test of Agrawal, Kayal, and Saxena. Apart from number theory, one could easily build a fine discrete mathematics course on this book. Highly recommended.”
Choice

Download Description
Number theory and algebra play an increasingly significant role in computing and communications, as evidenced by the striking applications of these subjects to such fields as cryptography and coding theory. This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The mathematical prerequisites are minimal: nothing beyond material in a typical undergraduate course in calculus is presumed, other than some experience in doing proofs - everything else is developed from scratch. Thus the book can serve several purposes. It can be used as a reference and for self-study by readers who want to learn the mathematical foundations of modern cryptography. It is also ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students.
Customer Reviews

Really a treasure
I'm a student digging into the cryptology for an year. The more article I read, the more confusion I encounter because of my poor mathematical background. However, when I get this, I could find answer to my puzzles, and make an more explicit way to settle down my own idea.

The background you really need, clear and sweet
This book is a marvel. It is clear and concise yet thorough. The author is obviously a bit of an obsessive compulsive, he has found the shortest paths from the clearest definitions to the most important results, each given with the cleanest, most insight-inducing proofs ... the results (and definitions) he gives are the ones any student (practitioner!) of modern computer science (especially cryptology) *needs* to know -- having this book on your shelves (and its contents in your head) should be a requirement for any degree, at any level, in computer science.
[Caveat: I know the author and have read his book in draft form. I also required my students to get it and read it, in a computer science course I taught.

A Computational Introduction to Number Theory and Algebra by Victor Shoup

Product Description

Number theory and algebra play an increasingly significant role in computing and communications, as evidenced by the striking applications of these subjects to such fields as cryptography and coding theory. This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The mathematical prerequisites are minimal: nothing beyond material in a typical undergraduate course in calculus is presumed, other than some experience in doing proofs - everything else is developed from scratch. Thus the book can serve several purposes. It can be used as a reference and for self-study by readers who want to learn the mathematical foundations of modern cryptography. It is also ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students.
Product Details

* Amazon Sales Rank: #535077 in Books
* Published on: 2005-06-06
* Number of items: 1
* Binding: Hardcover
* 534 pages

Editorial Reviews

Review
"This is an outstanding and well-written book whose aim is to introduce the reader to a broad range of material -- ranging from basic to relatively advanced -- without requiring any prior knowledge on the part of the reader other than calculus and mathematical maturity. That the book succeeds at this goal is quite an accomplishment! ...this book is a must-read for anyone interested in computational number theory or algebra and especially applications of the latter to cryptography. I would not hesitate, though, to recommend this book even to students 'only' interested in the algebra itself (and not the computational aspects thereof); especially for computer science majors, this book is one of the best available introductions to that subject."
SIGACT News

“As computer science students have very likely not previously mastered probability theory, linear algebra, or basic abstract algebra, Shoup packages crash courses in each. Despite taking time for so many basics, Shoup climaxes with careful treatment of the late-breaking, ingenious, polynomial-time deterministic primality test of Agrawal, Kayal, and Saxena. Apart from number theory, one could easily build a fine discrete mathematics course on this book. Highly recommended.”
Choice

Download Description
Number theory and algebra play an increasingly significant role in computing and communications, as evidenced by the striking applications of these subjects to such fields as cryptography and coding theory. This introductory book emphasises algorithms and applications, such as cryptography and error correcting codes, and is accessible to a broad audience. The mathematical prerequisites are minimal: nothing beyond material in a typical undergraduate course in calculus is presumed, other than some experience in doing proofs - everything else is developed from scratch. Thus the book can serve several purposes. It can be used as a reference and for self-study by readers who want to learn the mathematical foundations of modern cryptography. It is also ideal as a textbook for introductory courses in number theory and algebra, especially those geared towards computer science students.

About the Author
Victor Shoup is Associate Professor at The Courant Institute of Mathematical Sciences at New York University.
Customer Reviews

Really a treasure5
I'm a student digging into the cryptology for an year. The more article I read, the more confusion I encounter because of my poor mathematical background. However, when I get this, I could find answer to my puzzles, and make an more explicit way to settle down my own idea.

The background you really need, clear and sweet5
This book is a marvel. It is clear and concise yet thorough. The author is obviously a bit of an obsessive compulsive, he has found the shortest paths from the clearest definitions to the most important results, each given with the cleanest, most insight-inducing proofs ... the results (and definitions) he gives are the ones any student (practitioner!) of modern computer science (especially cryptology) *needs* to know -- having this book on your shelves (and its contents in your head) should be a requirement for any degree, at any level, in computer science.
[Caveat: I know the author and have read his book in draft form. I also required my students to get it and read it, in a computer science course I taught.]

Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science) by Robert J. Vanderbei

Product Description


Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization.


The book is carefully written. Specific examples and concrete algorithms precede more abstract topics. Topics are clearly developed with a large number of numerical examples worked out in detail.


Moreover, Linear Programming: Foundations and Extensions underscores the purpose of optimization: to solve practical problems on a computer. Accordingly, the book is coordinated with free efficient C programs that implement the major algorithms studied:

-The two-phase simplex method; -The primal-dual simplex method; -The path-following interior-point method; -The homogeneous self-dual methods.


In addition, there are online JAVA applets that illustrate various pivot rules and variants of the simplex method, both for linear programming and for network flows. These C programs and JAVA tools can be found on the book's webpage: . Also, check the book's webpage for new online instructional tools and exercises that have been added in the new edition.
Product Details
Amazon Sales Rank: #396925 in Books
Published on: 2007-11-26
Number of items: 1
Binding: Hardcover
464 pages
Editorial Reviews

Book Info
Focuses largely on constrained optimization. Begins with a substantial treatment of linear programming and proceeds to convex analysis, network flows, integer programming, and convex optimization.
Customer Reviews

Professor Robert Freund's review
This is a much more detailed one as compared to the other two and was penned by MIT ORC Professor Robert Freund.

Summary. This book presents a thoroughly modern treatment of linear programming that achieves a healthy balance between theory, implementation, computation, and between the simplex method and interior-point methods. It's most novel feature is that it is written in a delightful and refreshing conversational style, that bespeaks the author's teaching style and relaxed wit. It is a pleasure to read: students will find the book to be friendly and engaging, while professors will find in the book a wealth of teaching material, nicely organized and packaged for classroom use. The book is also meant to be used in conjunction with a public-available website that contains software for various algorithms, additional exercises, and demos of algorithms.
The need for new linear programming textbooks. The world of linear programming has changed dramatically in the last ten years. For one thing, the incredible changes in computer technology have made it easy to solve truly huge LPs, and routine LP problems solve in fractions of a second even on a personal computer. As a result, the study of linear programming algorithms is of less interest to the casual student. (In a similar vein, we usually do not teach students how to efficiently compute square roots; we simply presume they can press the right buttons on their calculator.) On the other hand, because we can now solve truly gigantic linear programs, issues of computer implementation, numerical stability, and software architecture, etc., are as important for the serious optimizer as is, say, duality theory. Furthermore, the development and recognition of the importance of interior point methods has changed the landscape of linear programming significantly, so that linear programming is no longer synonymous with the simplex method, and a modern treatment of LP must also present an in-depth treatment of the most important interior point methods.

Vanderbei's book is thoroughly modern. Vanderbei's book is completely up-to-date. Aside from a nice treatment of the simplex method, it also contains a very up-to-date treatment of interior point methods, including the homogeneous self-dual formulation and algorithm (which might soon become the dominant algorithm in practice and theory). It contains extensive material on issues of implementation of both the simplex algorithm and interior point algorithms. A politician might call it a book for the 21st century.

Vanderbei's book has many novel features. This book is quite different from most other textbooks on LP in a number of important ways. For starters, the standard form of a linear program in the book is the symmetric form of the problem (max c^T x | Ax <= b, x >= 0), as opposed to the usual form (min c^T x | Ax=b, x >= 0). This difference allows for an easier treatment of duality, and allows one to see the geometry of linear programming more easily as well. The symmetric form also makes it easier to set up the homogeneous self-dual interior point algorithm. However, this form has the drawback that discussions of bases, basic feasible solutions, and some of the mechanics of the simplex method are all a bit more awkward. (The book uses the language of dictionaries to describe the essential information in a simplex method iteration.) The book has more of a focus on engineering applications than does the more typcial LP textbook (which tend to rely on business problems). For example, there is a nice chapter on optimization of engineering structures such as trusses. The book gives a very broad treatment of interior point methods, including several topics that are not usually found in textbooks such as the homogeneous self-dual formulation and algorithm, quadratic programming via interior point methods, and general convex optimization via interior point methods.

These novel features are good in that the author has clearly tried to be innovative and to build an LP text from the ground up, without regard for past texts.

Some Nice Features. There are some particularly nice features in the book. The book contains a much-simplified variant of the Klee-Minty polytope that allows for a more straightforward proof that the simplex method can visit exponentially many extreme points. In addition to proving strong duality, the book also presents Tucker's strict complementarity theorem, which has become important in the new view of sensitivity analysis, optimal partitions, and interior point methods. The book also contains a nice treatment of the steepest edge pivot rule, which has recently emerged as an important component in speeding up the performance of the simplex algorithm. In the treatment of interior point methods, the author spends very little time on polynomial time bounds and guarantees (as a theorist, I like to see this material), instead adding value by discussing important computational and implemention issues, including ordering heuristics, strategies for solving the KKT system by Newton's method, etc. The book sometimes has an engineer's feel for the proofs, which is good for students but is a bit frustrating to hard-core math types such as myself. There are many instances where the proof is just a proof via an example. This is consistent with the conversational and informal style of the text, and this informality spills over into the mathematics on occasion.

This book has style. As mentioned earlier, the book has a wonderfully appealing conversational style. While the author does not purposely go out of his way to be cute and corny, he succeeds in leaving the reader grinning with his humor. There are some passages that are downright funny, but the style succeeds mostly by default. One section on the issue of modeling the anchoring of truss design problems is called Anchors Away, the subsection on updating factorizations to reduce fill-in is aptly called Shrinking the Bump. And there is the hint of a racy discussion of an application of Konig's Theorem involving boys and girls that the curious reader might enjoy.

Overall, I greatly enjoyed reviewing this book, and I highly recommend the book as a textbook for an advanced undergraduate or master's level course in linear programming, particularly for courses in an engineering environment. In addition, the book also is a good reference book for interior point methods as well as for implementation and computational aspects of linear programming. This is an excellent new book.

Excellent book
Very clearly written. Unlike most math books, the notation is easy to understand for engineers and programmers. I found the free online version first, and then decided to buy the hard copy.

Profesor
That book is excelent from class and practice. Very important in undergraduate and postgraduate. Thanks you.

Discrete Mathematics and its Applications by Kenneth H. Rosen

Product Description

This text is designed for the sophomore/junior level introduction to discrete mathematics taken by students preparing for future coursework in areas such as math, computer science and engineering. Rosen has become a bestseller largely due to how effectively it addresses the main portion of the discrete market, which is typically characterized as the mid to upper level in rigor. The strength of Rosen's approach has been the effective balance of theory with relevant applications, as well as the overall comprehensive nature of the topic coverage.
Product Details
Amazon Sales Rank: #369416 in Books
Published on: 1998-12-11
Number of items: 1
Binding: Hardcover
824 pages
Customer Reviews

The author is difficult to follow
I would NOT reccoment this text for anyone that is returning to school after being away for any length of time. It is the reccomended text of the class I am currently taking, over half of the students are having difficulties with this book and are purchasing additional text to supplement the lessons.

Great buy
Purchased for computer science course since it was required. Great price, good book.

A good book
I like this book and use it for teaching my students. As a teacher, you have the opportunity to select similar problems for class activity and homework assignment. Also, you can find not only simple and middle-level problems but also high-level problems to provide a good source for active students. Unfortunately, the author uses the letters "F" and "T" in the truth tables instead of much easier and perspective "0" and "1", which correspond to the real needs, e.g., in computer science. That's the most essential lack, which I've found by this time.

Natural Operations in Differential Geometry by Ivan Kolar

Product Description

The literature on natural bundles and natural operators in differential geometry, was until now, scattered in the mathematical journal literature. This book is the first monograph on the subject, collecting this material in a unified presentation. The book begins with an introduction to differential geometry stressing naturality and functionality, and the general theory of connections on arbitrary fibered manifolds. The functional approach to classical natural bundles is extended to a large class of geometrically interesting categories. Several methods of finding all natural operators are given and these are identified for many concrete geometric problems. After reduction each problem to a finite order setting, the remaining discussion is based on properties of jet spaces, and the basic structures from the theory of jets are therefore described here too in a self-contained manner. The relations of these geometric problems to corresponding questions in mathematical physics are brought out in several places in the book, and it closes with a very comprehensive bibliography of over 300 items. This book is a timely addition to literature filling the gap that existed here and will be a standard reference on natural operators for the next few years.
Product Details
Amazon Sales Rank: #3578597 in Books
Published on: 1993-01-22
Number of items: 1
Binding: Hardcover
434 pages

Buildings and Classical Groups by Paul B. Garrett

Product Description

Buildings are highly structured, geometric objects, primarily used in the finer study of the groups that act upon them. In Buildings and Classical Groups, the author develops the basic theory of buildings and BN-pairs, with a focus on the results needed to apply it to the representation theory of p-adic groups. In particular, he addresses spherical and affine buildings, and the "spherical building at infinity" attached to an affine building. He also covers in detail many otherwise apocryphal results. Classical matrix groups play a prominent role in this study, not only as vehicles to illustrate general results but as primary objects of interest. The author introduces and completely develops terminology and results relevant to classical groups. He also emphasizes the importance of the reflection, or Coxeter groups and develops from scratch everything about reflection groups needed for this study of buildings. In addressing the more elementary spherical constructions, the background pertaining to classical groups includes basic results about quadratic forms, alternating forms, and hermitian forms on vector spaces, plus a description of parabolic subgroups as stabilizers of flags of subspaces. The text then moves on to a detailed study of the subtler, less commonly treated affine case, where the background concerns p-adic numbers, more general discrete valuation rings, and lattices in vector spaces over ultrametric fields. Buildings and Classical Groups provides essential background material for specialists in several fields, particularly mathematicians interested in automorphic forms, representation theory, p-adic groups, number theory, algebraic groups, and Lie theory. No other available source provides such a complete and detailed treatment.
Product Details
Amazon Sales Rank: #2417208 in Books
Published on: 1997-04-01
Number of items: 1
Binding: Hardcover
416 pages