Introduction to Algorithms

Amazon.com

Aimed at any serious programmer or computer science student, the new second edition of Introduction to Algorithms builds on the tradition of the original with a truly magisterial guide to the world of algorithms. Clearly presented, mathematically rigorous, and yet approachable even for the math-averse, this title sets a high standard for a textbook and reference to the best algorithms for solving a wide range of computing problems.

With sample problems and mathematical proofs demonstrating the correctness of each algorithm, this book is ideal as a textbook for classroom study, but its reach doesn't end there. The authors do a fine job of explaining each algorithm. (Reference sections on basic mathematical notation will help readers bridge the gap, but it will help to have some math background to appreciate the full achievement of this handsome hardcover volume.) Every algorithm is presented in pseudo-code, which can be implemented in any computer language, including C/C++ and Java. This ecumenical approach is one of the book's strengths. When it comes to sorting and common data structures, from basic linked lists to trees (including binary trees, red-black, and B-trees), this title really shines, with clear diagrams that show algorithms in operation. Even if you just glance over the mathematical notation here, you can definitely benefit from this text in other ways.

The book moves forward with more advanced algorithms that implement strategies for solving more complicated problems (including dynamic programming techniques, greedy algorithms, and amortized analysis). Algorithms for graphing problems (used in such real-world business problems as optimizing flight schedules or flow through pipelines) come next. In each case, the authors provide the best from current research in each topic, along with sample solutions.

This text closes with a grab bag of useful algorithms including matrix operations and linear programming, evaluating polynomials, and the well-known Fast Fourier Transformation (FFT) (useful in signal processing and engineering). Final sections on "NP-complete" problems, like the well-known traveling salesman problem, show off that while not all problems have a demonstrably final and best answer, algorithms that generate acceptable approximate solutions can still be used to generate useful, real-world answers.

Throughout this text, the authors anchor their discussion of algorithms with current examples drawn from molecular biology (like the Human Genome Project), business, and engineering. Each section ends with short discussions of related historical material, often discussing original research in each area of algorithms. On the whole, they argue successfully that algorithms are a "technology" just like hardware and software that can be used to write better software that does more, with better performance. Along with classic books on algorithms (like Donald Knuth's three-volume set, The Art of Computer Programming), this title sets a new standard for compiling the best research in algorithms. For any experienced developer, regardless of their chosen language, this text deserves a close look for extending the range and performance of real-world software. --Richard Dragan

Topics covered: Overview of algorithms (including algorithms as a technology); designing and analyzing algorithms; asymptotic notation; recurrences and recursion; probabilistic analysis and randomized algorithms; heapsort algorithms; priority queues; quicksort algorithms; linear time sorting (including radix and bucket sort); medians and order statistics (including minimum and maximum); introduction to data structures (stacks, queues, linked lists, and rooted trees); hash tables (including hash functions); binary search trees; red-black trees; augmenting data structures for custom applications; dynamic programming explained (including assembly-line scheduling, matrix-chain multiplication, and optimal binary search trees); greedy algorithms (including Huffman codes and task-scheduling problems); amortized analysis (the accounting and potential methods); advanced data structures (including B-trees, binomial and Fibonacci heaps, representing disjoint sets in data structures); graph algorithms (representing graphs, minimum spanning trees, single-source shortest paths, all-pairs shortest paths, and maximum flow algorithms); sorting networks; matrix operations; linear programming (standard and slack forms); polynomials and the Fast Fourier Transformation (FFT); number theoretic algorithms (including greatest common divisor, modular arithmetic, the Chinese remainder theorem, RSA public-key encryption, primality testing, integer factorization); string matching; computational geometry (including finding the convex hull); NP-completeness (including sample real-world NP-complete problems and their insolvability); approximation algorithms for NP-complete problems (including the traveling salesman problem); reference sections for summations and other mathematical notation, sets, relations, functions, graphs and trees, as well as counting and probability backgrounder (plus geometric and binomial distributions).

Book Description

There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness.

The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.

Customer Reviews:

Excellent buy.......2007-09-24

I bought a new copy of the book, and was happy to receive it the way I expected. Got free shipping with this one.

Confusing to say the least.......2007-09-14

This book does not provide enough examples to really get the ideas across. It is a thick read that provides little help to the subject matter unless the reader already has a wealth of knowledge on mathematical proofs and algorithms to begin with.

If the book had a solution manual, or at least explained many of the things that occur in the problem sections that never show up in the actual reading, then it would be a much easier to understand textbook.

Fantastic algorithms book.......2007-06-03

This is one of the few books that I've kept from my undergrad days as a computer science major. Although I haven't been doing software development in a while, I still use it for reference once in a while. It's easy to understand and timeless reference book. I work for a large DoD company and quite a few of my co-workers have this book on their shelves as well. (We all went to different colleges.)

Good Reference, Poor Textbook.......2007-04-19

This is a good reference for researchers, but it is not suitable for beginners. For anyone who try to study algorithms in the beginning, he just needs the big picture of this course, but this book contains too many mathematical proofs. In other words, the beginners just want a cup of milk, but the authors of this book give them a whole cow.

Although this book is quite huge, it does not contain some important topics, like online algorithms, randomized algorithms ... etc. In fact, this book should try to 'lose its weight' in order to get more useful knowledge.

The book contains a lot of interesting exercises, but does not indicate any hints or solutions. In fact, some of those exercises are too hard for students, and the authors should try to announce all sloutions in the website.

Too much and too little.......2007-03-02

+ Defacto standard
+ Accompanying WebCourse

- Too deep if used as an intro book; lacks solutions if used for a reference book
- It's HUGE!; hard to carry around

= Tries to appease too wide an audience. Definately attractive to professors who already know the information and feel this is THE book yet probably too deep for an intro algorithms class. Wish there was a searchable pdf version that came with the book on a CD as well as odd numbered solutions.

MATLAB: An Introduction with Applications 2nd Edition

Average customer rating:

Great for learning the basics of MATLAB.
Reader
Very good introduction
The perfect introductory text for MATLAB
A truly excellent text!

MATLAB: An Introduction with Applications 2nd Edition
Amos Gilat
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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Mastering MATLAB 7
Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers (The Oxford Series in Electrical and Computer Engineering)
MATLAB Primer, Seventh Edition
Digital Image Processing Using MATLAB
Engineer's Guide to MATLAB, An (2nd Edition)

ASIN: 0471694207

Book Description

Assuming no prior MATLAB experience, this clear, easy-to-read book walks readers through the ins and outs of this powerful software for technical computing, including:

Generously illustrated computer screen shots and step-by-step tutorials applied in the areas of mathematics, science, and engineering
Clearly shows how MATLAB is used in science and engineering
Includes a completely new chapter on Symbolic Math
Thoroughly updated to match Matlab's newest release, Matlab 7

Customer Reviews:

Great for learning the basics of MATLAB........2007-08-18

I purchased this title because I am starting a numerical analysis sequence next year using Matlab and I knew only how to plot in 2D and do simple calculations at the command line. After studying from Gilat's text for the past month or so I feel very comfortable using Matlab for all the basics and I am ready to learn how to exploit the full power of the program.

Each chapter gives just enough mathematical background to provide anyone with at least college algebra/trig enough to understand what is going on.
Although this book does not cover any topic too deeply, it does cover the fundamentals of many aspects of Matlab in a way that allows the reader to move fairly quickly through the whole book without getting bogged down in any one area.

In the end you will know the basics about how Matlab operates: how to work with vectors and matrices, how to write simple programs and function files, how to plot and format data, how to fit data to a curve, and how to differentiate and integrate both numerically and symbolically, and a bunch of other great tools for solving problems.

Also, as the other reviewers mentioned, the book makes very good use of graphics to show how input and output should look, as well as what exactly each line means.

I would recommend this text to anyone wanting to learn the basics of Matlab.

Reader.......2007-04-23

If you plan to start with Matlab with no prior experience, this book beats most of the other available titles.Since an inside view of the book is not available on Amazon, I will for the benefit of others list out the chapters here.Ch1 begins with the necessary introduction,developing familiarity with the command window,display formats and precedence of operators.It moves on to Ch2 and Ch3 where arrays are introduced and the mathematical operations on them explained.Ch4 is about script files,Ch5 on elementary plotting techniques using in-built functions like plot and fplot.Ch6 introduces functions and Ch7 extends the previous material to formal programming techniques like loops and control structures.Ch8 explains curve fitting and interpolation,Ch9 is about three dimensional plots and special graphics.Ch10, the last one of the book uses Matlab to do symbolic math which cover elementary algebraic equations.The examples contained in the book are from elementary physics and engineering,so if you are looking for more advanced material that has been treated using Matlab,this might be a little less helpful.The numerical techniques again cover simple problems like projectile trajectory,flow of water from a vessel with a small hole punched in its sidewall,RC circuits, viscosity and so on.Relatively advanced topics like Fourier transforms and applications to signal processing are also left out.If you are done with this book or feel that the material isnt of much help, I will suggest that you might try "Numerical Computing with Matlab" by Moler(he is perhaps one of the architects of Matlab).This book(electronic version) is available for free from the mathworks website [...].Overall this book does a good job in explaining details and is also generously sprinkled with figures and screenshots.Please try it if you are first timer to Matlab.

Very good introduction.......2006-05-04

I had never used matlab when I started reading this book and I found it very easy to follow. I now have a good working understanding of the matlab basics and I recommend that anyone who's looking to get started with matlab pick up a copy.

The perfect introductory text for MATLAB.......2005-12-08

If you are completely new to MATLAB then you will find no better book to guide you through the basics. It is perfectly suited for teaching yourself several basic but still very interesting and useful programming techniques. Topics are presented to the reader in an order carefully determined to produce maximum benefit and knowledge. The book is short and very readable, with many example programs.

In short: if you want a FIRST introductory textbook for MATLAB, you can't beat this book. And it covers the latest version (Release 14).

A truly excellent text!.......2005-11-21

This book was written for teaching Matlab to freshmen in an introductory engineering course, so most of the examples are from first year physics and engineering. Nevertheless, after looking at all competing texts, I chose it to teach Matlab to sophomore geology majors, most of whom had not yet taken calculus or physics. I was very happy with the results; by the end of the semester the students were well on their way to being competent programmers, and I think they will find calculus and physics much easier because of their experience with this book.

I chose this text because it is very well written--you can tell the author has had long experience teaching the subject--and because of its many excellent examples. Most people learn faster by example than by theory, and the examples in this book are easier to follow than those of other texts. Each example shows the command window with a gray background and white insets, or call-outs, containing explanations. The pages are attractive.

In the main text, Matlab commands are set in Courier to clearly distinguish them from the discussion itself. Sections are fairly short and easy to follow, and at the end of each chapter there are many problems of gradually increasing difficulty. The solutions to some problems are given at the back of the book. The abundance of complete examples makes it easy to skip around in the book as soon as students are familiar with Matlab syntax. There are astonishingly few typos and none were serious. Cell arrays and structures are used only where needed for particular commands, a wise pedagogical decision. I particularly enjoyed the second edition's new chapter on symbolic math, as I had never used this part of Matlab in my own research.

The book is 7.5"x9.25" in size with 343 pages, and so is easy to carry around. It's inexpensive, as textbooks go nowadays.

Building Automated Trading Systems: With an Introduction to Visual C++.NET 2005 (Financial Market Technology)

Average customer rating:

great book for wall street developers
Excellent resource to build Automatic Trading Systems
Excellent CONCISE Treatment of C++.Net
Unreadable....
Excellent book for beginners to intermediate develepers

Building Automated Trading Systems: With an Introduction to Visual C++.NET 2005 (Financial Market Technology)
Benjamin Van Vliet
Manufacturer: Academic Press
ProductGroup: Book
Binding: Hardcover

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Financial Trading Systems Design and Development with C++ (+CD) (Wiley Finance)

ASIN: 0750682515

Book Description

Over the next few years, the proprietary trading and hedge fund industries will migrate largely to automated trade selection and execution systems. Indeed, this is already happening. While several finance books provide C++ code for pricing derivatives and performing numerical calculations, none approaches the topic from a system design perspective. This book will be divided into two sectionsprogramming techniques and automated trading system ( ATS ) technologyand teach financial system design and development from the absolute ground up using Microsoft Visual C++.NET 2005. MS Visual C++.NET 2005 has been chosen as the implementation language primarily because most trading firms and large banks have developed and continue to develop their proprietary algorithms in ISO C++ and Visual C++.NET provides the greatest flexibility for incorporating these legacy algorithms into working systems. Furthermore, the .NET Framework and development environment provide the best libraries and tools for rapid development of trading systems.
The first section of the book explains Visual C++.NET 2005 in detail and focuses on the required programming knowledge for automated trading system development, including object oriented design, delegates and events, enumerations, random number generation, timing and timer objects, and data management with STL.NET and .NET collections. Furthermore, since most legacy code and modeling code in the financial markets is done in ISO C++, this book looks in depth at several advanced topics relating to managed/unmanaged/COM memory management and interoperability. Further, this book provides dozens of examples illustrating the use of database connectivity with ADO.NET and an extensive treatment of SQL and FIX and XML/FIXML. Advanced programming topics such as threading, sockets, as well as using C++.NET to connect to Excel are also discussed at length and supported by examples.
The second section of the book explains technological concerns and design concepts for automated trading systems. Specifically, chapters are devoted to handling real-time data feeds, managing orders in the exchange order book, position selection, and risk management. A .dll is included in the book that will emulate connection to a widely used industry API ( Trading Technologies, Inc.s XTAPI ) and provide ways to test position and order management algorithms. Design patterns are presented for market taking systems based upon technical analysis as well as for market making systems using intermarket spreads.
As all of the chapters revolve around computer programming for financial engineering and trading system development, this book will educate traders, financial engineers, quantitative analysts, students of quantitative finance and even experienced programmers on technological issues that revolve around development of financial applications in a Microsoft environment and the construction and implementation of real-time trading systems and tools.

* Teaches financial system design and development from the ground up using Microsoft Visual C++.NET 2005.
* Provides dozens of examples illustrating the programming approaches in the book
* Chapters are supported by screenshots, equations, sample Excel spreadsheets, programming code and interactive CDROM

Customer Reviews:

great book for wall street developers.......2007-06-29

Unlike some other comments about this book, the intended readers are serious developers who have not started or just begining to use .Net 2005 framework. That is why some readers do not like this book.

A pure programmer do not need to read this book.
A pure quant strategist do not need this book.
A network specialist do not need this book.

It is only good for the intended readers.

Excellent resource to build Automatic Trading Systems.......2007-04-22

I read some of the other reviews and was moved to write my own evaluation as those reviews were mistreating this book.

This book is NOT fiction nor is it a comprehensive reference on C++.Net. so for someone trying to read this book from cover to cover will not feel like adding much value. Also the title says it clearly that the book includes an introduction to VC++.Net (just want to stress that the book is not meant to teach you the language in and out)

The value in this book is to understand the typical challenges that financial trading systems offer and some really insightful examples on how to solve them. This book deals with everyday problems that any programmer will face when building his/her own trading system (Automated/semi-automated). There is a lot of good advice on Building Automatic Trading Systems all compiled into one resource.

Like I mentioned before the book is not a comprehensive reference on C++.Net(Use MSDN for that) and neither is it verbose, but simply a bridge between building trading systems and programming. The introduction to VC++.Net is a quick read even if you have no or basic programming skills and only serves as an introduction to the language with a quick reference of the concepts.

I love this book and appreciate some of the issues that it addresses. It also better prepared me for the job that I got after taking Professor Van Vliet's class and using this book for the same.

I recommend this book for all those developers (or beginners) who are dealing with financial markets and have the need to build ATS.

Excellent CONCISE Treatment of C++.Net.......2007-04-13

I feel I am qualified to review this book as I have been a student of Professor Van Vliet's at IIT-Chicago. I have taken his courses in ANSI C++,VB.Net,and developing automated trading systems using C++.Net. I took the course in C++.Net/Automated Trading Systems using the notes that were the basis for this book.

A few of the previous reviews were way off the mark in my opinion. One of Professor Van Vliet's strengths and approach to programming is to develop concepts through simple examples. In this book, as in all his classes, he gives small but complete programs to learn concepts. Most books, e.g. Deitel, introduce concepts with 2-3 page programs where you get lost in what you are trying to learn. Van Vliet emphasizes that programming is learned by doing, not just by reading. If you just plan to read the book and not actually implement the programs then maybe it's value is limited. But this is not how most people REALLY learn programming. You have to get your hands dirty.

Previous reviews are way off the mark in terms of substance as well. You just have to go to MSDN's documentation on C++.Net to see that Van Vliet includes a lot of helpful information that is hard to find in other books and on the NET. For example, for those who care to pay attention, he does an excellent treatment on how to get to methods in objects stored in hashtables and sorted lists. Almost all other discussions of hashtables use very primitive hashtables where you only store a key and a simple value (like an integer or string) . Van Vliet actually shows ways, for example, to create a Stock Class with all the attributes of a stock and then store the stock objects in a hashtable that would represent a portfolio. (this is not the example in the book but he clearly shows you how to do this). Then he shows you how to get at the methods using a dynamic cast or static cast (with the advent of generics in VS 2005 there are now even better ways in some instances).

To give further evidence of his building block approach and the substance in the book, Van Vliet towards the end of the book develops a single-threaded algorithmic trading system and then uses a producer-consumer semaphore model to show you how to create a multi-threaded algorithmic trading system. Where else can you find this in the literature? He even created his own API, Trader API, that is very similar to that of Trading Technologies's XTAPI, so programmers can learn how to connect and use an API.

Finally, through my study with Van Vliet I have been able to write multi-threaded trading programs using XTAPI, write a stat arb program for equity trading that searches a large database of equities, write technical trading systems, and write factor model programs for equity trading. In large part because of what I learned from Professor Van Vliet at IIT I have been able to be employed by a local hedge fund. Whenever I program his books are with me for reference purposes.

J.S. Haworth
April 2007

Unreadable...........2007-04-02

Strong regret that I spent 80$ on this book. The backcover said this book was suitable for people who wanted to learn c++.net with a focus on trading systems, however the intro to the language itself is very very light.

It starts directly with pages of code (that you can find on the cd...) explaining how to manage threads, processes, time etc etc.

I had the feeling that this book has no real beginning nor real ending and that chapters can be all mixed up, it won't change anything.
On the other side, I am maybe too beginner for it. Maybe this suitable for people who want to transfer their system from one language to c++.net.

Excellent book for beginners to intermediate develepers.......2007-03-23

I thought this was an excellent book for beginner and intermediate developers. It takes you through the building blocks necessary to create a fully functioning automated trading system. Especially useful for programmers in other languages that are looking to transfer their code to C++.net. I've have 7 years of experience in financial programming and many of the problems addressed in this book, I deal with on a daily basis.

Average customer rating:

No deception here
decent book but uneven
Excellent introduction
More about R than about Statistics
Excellent introduction to R

Statistics: An Introduction using R
Michael J. Crawley
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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R Graphics (Computer Science and Data Analysis)
Introductory Statistics with R
Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)
Using R for Introductory Statistics
An Introduction to R

ASIN: 0470022981

Book Description

Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing.
* Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology.
* Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data.
* The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing.
* Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
* Includes numerous worked examples and exercises within each chapter.
* Accompanied by a website featuring worked examples, data sets, exercises and solutions:

http://www.imperial.ac.uk/bio/research/crawley/statistics

Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

Customer Reviews:

No deception here.......2007-05-17

This book does a good job of what its designed to do. I would have to agree with another reviewer that finds the topics covered in this book a little too much for a intro statistics book. My intro class certainly didn't cover variable transformation and other more complex topics. I would have to say that I don't feel 100% comfortable navigating through R now, but I have exponentially increased my understanding. I wasn't too impressed with the last few chapters. It seemed as if the coverage of material decreased as the complexity of the statistical tests became more complex. The secion on survival analysis, for example, spans only a few pages. That being said, you do get the R code right in front of you to expose you to how the code needs to be set up. This book also comes with matching chapter lessons that can be downloaded from the authors website. Unfortunately, many of the exercises are nothing more than repeats of the same material in the book. This hurts. I like learning through structured examples...And I prefer more rather than less. So if you are really motivated to learn R by working through some elementary inferential statistics (standard deviation, t-tests, and anovas) then this book can produce results. If your looking for more advanced content (information on examples installing and using packages affiliated with R) than this book doesn't won't meet all of your goals. I would recomend it to someone with little or no knowledge of R and the patience to work through the basics on your own.

decent book but uneven.......2007-05-01

This book purports to be an introduction to statistics using R. R has exploded in popularity and today is probably the most powerful system available for doing statistics, having surpassed the older Splus and SAS. Thus you do well to learn R early on as you begin statistics; it well suits the novice and the expert. To make things even better, R is both open source and free with an excellent, supportive online community of many people. The online mailing lists are a treasure trove of valuable resources. There are now several introductory books to R, including one by Verzani, one by Dalgaard, and one by Crawley.

Crawley's book is a _very_ rapid tour through a lot of statistics. There is no real way that a beginner could properly digest the material. Moreover, he often assumes far too much and then assumes far too little. For example in one early chapter he covers the basics of General Linear Models (GLMs), an intermediate to advanced concept. At the beginning of the next chapter, he is explaining basics about the slope of a line! There are a lot of similar examples that left me scratching my head.

There are good pearls in the book that are quite nice, however this book should really be for those with some exposure to statistics.

A better introductory book is "Using R for Introductory Statistics" by John Verzani. That book was more clear and better organized.

Excellent introduction.......2007-01-20

This book is the best I have found for an introduction to the R statistical programming environment. It is also a very good textbook for introductory statistics. The supplemental material at his web site is excellent as well.

More about R than about Statistics.......2007-01-10

The title of this book is a misnomer. It is not an introduction to statistics at all, although it does do a very clear review of courses in descriptive statistics, regression, ANOVA, ANCOVA and GLM. If you don't know statistics, and want to learn, this is not the book for you.

This is, however, a truly excellent book that gets you up to speed very quickly on a wide variety of statistical applications using R as the tool for solution. If you have a reasonable background in statistics and want to use R as a substitute for SAS, SPSS, BMD or other package, this book will teach you how within a week. (Make sure you download the examples from the referenced website.

Excellent introduction to R.......2006-06-13

Well written and easy to understand. Written by an ecologist for anyone with some statistical background with anova, regression, and more. Great review of basic statistics with code in R and exercises/ data available online at M. Crawley's website. In my opinion, better than Data Analysis and Graphics Using R.

SAS Applications Programming: A Gentle Introduction (Duxbury Series in Statistics & Decision Sciences)

Average customer rating:

Excellent beginner's book
For beginners, two books better than one
Good for beginners
A fabulous introduction to SAS essentials
This is a good beginner's guide.

SAS Applications Programming: A Gentle Introduction (Duxbury Series in Statistics & Decision Sciences)
Frank C. DiIorio
Manufacturer: Duxbury Press
ProductGroup: Book
Binding: Paperback

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ASIN: 0534923909

Book Description

Intended for use as a core text or to supplement any introductory or intermediate level statistics course, this book presents the basics of the SAS system in a well-paced, structured, non-threatening manner. It provides an introduction to the SAS system for data management, analysis, and reporting using the subset of the language ideally suited for beginning students, while at the same time serving as a useful reference for intermediate or advanced users. Students learn the language's power and flexibility with many real-world examples drawn from the author's industry experience. Beginning with an overview of the system, this text shows students how to read data, perform simple analyses, and produce simple reports. More complex topics are carefully introduced, guiding students to manage multiple datasets and write custom reports. More advanced statistical techniques such as correlation, regression, and analysis of variance are presented in later chapters.

Customer Reviews:

Excellent beginner's book.......2004-01-09

I used this book in grad school to refresh my very limited SAS knowledge for a course I was doing. I'd used other books during my undergrad days, but none of them was as helpful as this one. It's a good way for a beginner to ease themselves into SAS without getting tangled in the complexities.

Now, several years down the road with many years of experience as a SAS programmer, I still recommend this book to anyone who asks me to point them in the direction of a good book to use for learning SAS.

For beginners, two books better than one .......2003-08-23

I suggest getting both a book like this, for its greater comprehensivity, combined with another one (like 'SAS programming By Example') for its more user friendly accessibility, if you are a beginner. Both books can be used as a starting text, and having two books can be better than one, and each one complements the other.

Good for beginners.......2000-05-14

This is the best introductory SAS book I have seen. It introduces the basic SAS structure and programming statements. A good and detailed explanation is provided for DATA step vs. PROC, a topic that always proves to be difficult to grasp for SAS newbies.

The book starts with SAS terminology and logic, i.e., how SAS works its magic. It moves on to simple tasks such as reading in data, summarizing it, and displaying it. Then there are chapters on SAS programming elements (expressions, logic flows, etc.) as well as intermediate-advanced statements. The MERGE statement is explained very clearly.

Examples abound, although I feel that they are presented in a very confusing format -- often you can't tell if a block of text belongs to the main text or an example. The organization of the book is also a little confusing, esp. if you want to use it as a reference book (not recommended; stick with SAS manual set instead).

In short, this book provides an excellent ovewview of SAS. Read the chapters in sequence and you'll soon be on your way to happy SAS'ing!

A fabulous introduction to SAS essentials.......2000-01-18

If you are in need of data management or analysis, SAS is likely big on your list. This book gives extremely clear and useful introductions to how SAS is structured, how to manipulate and organize data, and some basic statistical procedures (descriptive statistics, ANOVA, OLS models, etc.) are also presented.

Official SAS manuals are usually bulky, complicated, and difficult to understand, particularly if you have little/no experience with SAS. This book can take a complete beginner through data set creation and manipulation into substantially more complex and important procedures and functions. As this is an introduction to the SAS system, the more advanced functions in SAS, such as SAS STAT, are not covered in any detail. However, in order to understand how to actually use SAS and manipulate data so as to employ these higher level procedures, this book is excellent.

This is the absolute best introduction on how to use the SAS system I have seen, but it has lots of useful information for people with some basic SAS knowledge as well. It is presented in the style of a textbook,with each section concluding with problems (with answers provided) that the aspiring SAS programmer can solve.

If you are just starting to look into SAS, I cannot recommend this book highly enough. 'If I was able to do it, anyone can.'

This is a good beginner's guide........1999-08-13

I went to the Fundamentals of SAS course held at the SAS Institute and was left in dire need of more information. This book was a first step. The exercises in the book were helpful and reinforcing. If you need more than brginner's knowledge, then you'll have to purchase another book but this is good to get started.

Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers (The Oxford Series in Electrical and Computer Engineering)

Average customer rating:

Great Introduction
The BEST first MATLAB book for sicentists and engineers
Well worth it for beginners
Good Book
An easy Intro!

Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers (The Oxford Series in Electrical and Computer Engineering)
Rudra Pratap
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Paperback

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Mastering MATLAB 7
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ASIN: 0195179374

Book Description

RG Familiarizes users with MATLAB in just a few hours though self-guided lessons RG Discusses new features and applications in MATLAB 7 RG Covers elementary, advanced, and special functions RG Includes numerous new examples and problems RG Supplements any course that uses MATLAB RG Works as a stand-alone tutorial and reference MATLAB, a software package for high-performance numerical computation and visualization, is one of the most widely used tools in engineering field today. Its broad appeal lies in its interactive environment with hundreds of built-in functions for technical computation, graphics, and animation. In addition, it provides easy extensibility with its own high-level programming language. Enhanced by fun and appealing illustrations,Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers employs a casual, accessible writing style that shows users how to enjoy using MATLAB.

Customer Reviews:

Great Introduction.......2007-04-17

I found this to be a well written, easy to comprehend introduction to MatLab programming. I had programs written and running within the first two hours of reading it. Makes a great quick reference as well.

The BEST first MATLAB book for sicentists and engineers.......2006-11-08

This book is a true joy to read. It is well-organized, well-written, and provides the most clearly illustrated (through examples and figures) introduction to MATLAB I have found. More importantly, it is specifically geared to scientists and engineers e.g. those seeking to exploit MATLAB's numerical methods capabilities either for teaching, learning, or researching. Each chapter contains relevant and useful exercises from the material and provides complete answers for you to check your work right away. The sections on graphics and publishing are very nice and demonstrate how MATLAB is a full-service software tool. The second half of the book provides an excellent overview of "Applications" - basically, numerical methods using MATLAB. The book focuses on the built-in functions for root finding, quadrature, ODEs, etc. but not the details of the algorithms themselves (here it refers you to a numerical methods textbook). This should be the first book any scientist or engineers buys when starting to learn MATLAB. The MATLAB Guide by Higham and Higham (2nd Edition, SIAM) should be next . . . Enjoy!

Well worth it for beginners.......2006-05-06

This book is extremely helpful for novice MATLAB users who need to generate results quickly. It is concise and easy to navigate.

Good Book.......2006-02-21

This is a very fine resource for laerning Matlab from the introductory level.

An easy Intro!.......2006-01-30

I think this is a really nice and user friendly book if you look for a painless intro to mathlab, or if you look for the quick and essential tips that can get you started hands-on with a few functions or programs. No prerequisites are needed!
Of the computer and programming tools out there in math and in CS, Matlab is probably the one that it tailored more directly to numerical computations and to matrices (to graphics too!); as opposed to symbolic manipulations, where perhaps Mathematica and Mable have an edge. Yet, these choices often come down to a matter of taste, and to what you are used to. Or what the book or the class is steering you towards.
Still, I noticed over the past year, that teachers and students involved with elementary numerical analysis, math, or CS courses have liked this little book. And yet, there are lots of other Matlab-books out there; as well as manuals, step-by-step guides, etc; and some are even free on the web. Thanks God for Google! But this little book seems especially attractive for beginners.
Review by Palle Jorgensen, January 29, 2006.

Programming the Boundary Element Method: An Introduction for Engineers

Average customer rating:

Good for student and practitioner

Programming the Boundary Element Method: An Introduction for Engineers
Gernot Beer
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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Programming the Finite Element Method

ASIN: 0471863335

Book Description

Providing an easy introduction to the boundary element method, this book is ideal for any reader wishing to work in this field or use this method for the solution of engineering problems. From the beginning, the emphasis is on the implementation of the method into computer programs which can be used to solve real problems. The book covers two-andthree-dimensional linear and non-linear analysis in potential flow (heat flow and seepage) and static elasticity. Several computer programs are listed in the book and may be downloaded free of charge via the Internet. They include programs and subroutines for:
* 2-D analysis of potential problems using the Trefftz method
* 2-D and 3-D linear analysis of potential and static elasticity problems using isoparametric elements (single and multiple regions)
* implementation of non-linear problems
* coupling to finite elements
The programs (written in FORTRAN 90) are well documented, and can be employed by the user to gain experience with the method through the solution of small test examples. Furthermore, readers may use them as a starting point for developing their own boundary element package. In addition, exercises are included in most chapters involving the use of the programs with answers given in an Appendix, and a number of interesting industrial applications in the areas of mechanical, civil and geotechnical engineering are presented.

Customer Reviews:

Good for student and practitioner.......2001-06-27

I am a grduate student. My specific research area is BEM. and I programmed my own c++ code.

If I could get this book earlier, I could have saved a lot of time. By reading this book, reader can find not only detailed information for coding but also clear understanding about BEM.

The impressive points to me are 1) working 2D/3D potential and stress solvable code-there is multi-region version too, excellent explaining about 2)Corner problem, 3)assembly procedure (especially for multi-region problem), 4) programming frieldly math notations, 5) good logical flow of chapters.

The only problem I found is few mistypings. But, it does not prevent me to understand the material.

For engineers in industry, I think they can use the code to solve engineering problem with some modification if they don't have expensive commercial FE package, or use the code to solve linear problems quickly, etc.

Customer Reviews:

Original classic, theoretical.......2004-11-27

Bird and Wadler got me started on functional programming. Before that, I'd only seen discussions of C++/STL functors and functions like for, map etcetera.

B&W was dense, and magic. It reminded me of the first time I read the K&R C book, you're following along fine, and all of a sudden you're off the deep end!

The syntax, sort of ML-like adds to the 'magic' feel of it all. Overall I think it's a good book. But like with K&R, make this your second or third book, to ground you in the fundamentals after you've become somewhat familiar with the syntax and application of a particular fnal language.

That said, it covers a wide breadth of topics, and does justice to them as well. But this opinion comes from a newbie at functional programming, so caveat lector!

For me, it made me realise that there was a whole 'new' way of programming, vastly bigger than the few functions C++ had in its STL, and that C++ syntax mostly got in the way. However, perhaps because of this book, I never quite grokked Haskell/ML syntax either, though LISP I find easy (easier).

Nice book on functional programming.......2002-11-17

This is a good introduction to functional programming.
It is less language specific than some of the other books.

Average customer rating:

first edition
Excellent reference book for Maple
Great, ...but...

Introduction to Maple
Andre Heck
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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Accessories:

Chaos and Fractals: New Frontiers of Science
Markov Random Field Modeling in Image Analysis (Computer Science Workbench)
Theoretical Aspects of Local Search (Monographs in Theoretical Computer Science. An EATCS Series)

ASIN: 0387002308

Book Description

This is a fully revised edition of the best-selling Introduction to Maple. The book presents the modern computer algebra system Maple, teaching the reader not only what can be done by Maple, but also how and why it can be done. The book also provides the necessary background for those who want the most of Maple or want to extend its built-in knowledge. Emphasis is on understanding the Maple system more than on factual knowledge of built-in possibilities. To this end, the book contains both elementary and more sophisticated examples as well as many exercises. The typical reader should have a background in mathematics at the intermediate level. Andre Heck began developing and teaching Maple courses at the University of Nijmegen in 1987. In 1989 he was appointed managing director of the CAN Expertise Center in Amsterdam. CAN, Computer Algebra in the Netherlands, stimulates and coordinates the use of computer algebra in education and research. In 1996 the CAN Expertise Center was integrated into the Faculty of Science at the University of Amsterdam, into what became the AMSTEL Institute. The institute program focuses on the innovation of computer activities in mathematics and science education on all levels of education. The author is actively involved in the research and development aimed at the integrated computer learning environment Coach for mathematics and science education at secondary school level.

Customer Reviews:

first edition.......2002-10-13

I have a copy of the first edition which covers Maple V release 2. While good the 2cd edition and the latter releases of Maple
are both definite improvements.

Excellent reference book for Maple.......2000-12-29

I use this book as a daily reference for calculations in Maple and it is very very useful. It is very detailed where there are examples for every function almost that you can think of. We all know that there is a help within the program, which is quite useful for the introduction to Maple. However, this book enables you to raise your calculations to a higher level. I have searched for a good reference book for Maple for a while and I saw this one in library where after a week of using it I decided to buy one, a nd certainly it has not let me down yet. I do a lot of calculations in Maple and I am sure that this will be very useful for anyone who is in natrual sciences especially mathematics. All general and well known topics are full explained, such as integration, differentiation, limits, differential equations, abstract algebra techniques... and many more. The best thing about this book is the fact that it is explained in a great detail and there are examples for every Maple function, which makes it much easier to understand and actually apply.

Great, ...but..........1999-04-13

Wonderful way of introducing a VERY powerful tool like Maple. However, a tool is exactly what it is; nothing more, nothing less...our own "grey matter" still has a lot to say.

Average customer rating:

MatLab 7 for Engineers
brief discourses on various maths methods
Really good book!
Had to buy it for Class
Not very good for coding

Introduction to MATLAB 7 for Engineers
William J Palm III , and William Palm
Manufacturer: McGraw-Hill Science/Engineering/Math
ProductGroup: Book
Binding: Paperback

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Calculus with Analytic Geometry

ASIN: 0072922427

Book Description

This is a simple, concise book designed to be useful for beginners and to be kept as a reference. MATLAB is presently a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students. An instructor’s manual and other web resources are available.

Customer Reviews:

MatLab 7 for Engineers.......2007-09-25

Almost completely the same as MatLab6 for Engineers no need to buy the new book if you have the previous edition. But does a good job of covering the scope of MatLab.

brief discourses on various maths methods.......2006-10-03

Palm demonstrates the simple versatility of Matlab. Many examples are given that are likely to be encountered by an undergrad engineering student. Matrix methods might be the most useful, given the prevalence of linear systems that you often have to solve.

Matlab can also be used for symbolic algebra. Here the usage may be a bit more specialised. While this can be neat to use, chances are that most engineers will rarely have to use this ability, relative to number crunching.

The book only briefly covers Matlab's probability and statistics functions. It covers the bell curve [normal distribution]. But doesn't really go into anything advanced. Still, remember the book is only meant as an introduction.

Really good book!.......2006-02-18

The content is very effectively edited and presented. The material covers all one needs to know in order to solve various problems and exploit several powerful features of MATLAB. Very good introductory text.

Had to buy it for Class.......2005-10-26

It's one of the text-book requirments I had for my computing class. It works, but... buy the used ones if possbile.

Not very good for coding.......2005-10-20

Although this book has a lot of pertinent information to engineers, I bought it with the intent of learning the fundamentals of coding in MATLAB. I have a class in which our teacher assigns problems in MATLAB, but none of the students have experience in MATLAB. I bought the book to help me figure out how to write codes and it doesn't do that too well, but I could see how it might work well for someone familiar with MATLAB who needs to use it for an engineering problems.

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