Simulation Books

In Business Intelligence Using Smart Techniques, business intelligence consultant Charles Halliman emphasizes the analysis of business information already gathered by corporate researchers, managers, and policy makers. Halliman presents an informative introduction to the performance of environmental scanning using "text mining" techniques, and utilizing scenarios and manual simulations to perform competitor analyses. Readers will learn to convert business information into business intelligence for sound marketing strategies and production policies, showing how potentially profitable actions can be taken based on gathered information drawn from today's highly competitive local, regional, national, and global marketplace. Highly recommended reading for business students, entrepreneurs, policy strategists, and corporate marketing executives.

Any business owner or corporate executive looking for competitive opportunities or an effective way to avoid being blindsided by competitors' activities or trapped by unfavorable trends should think about applying the business intelligence system clearly laid out in Business Intelligence Using Smart Techniques.

Charles Halliman's pragmatic approach is perfect for our times. While so many are desperately trying to keep afloat, thinking their only choices are to sink or swim madly, Halliman suggests a manageable process to uncover possibilities for breaking out of the doldrums. It's a challenge to divert resources to efforts like developing business intelligence, perceived to take extraordinary amounts of time and offer payoffs only in the long-term. But Halliman shows this does not have to be the case.

Halliman not only presents very straightforward tools for analyzing and using business intelligence to develop actionable ideas, he shows how text mining techniques can reduce the time and resources needed to turn large amounts of information about competitors and business environment trends into manageable business intelligence.

While the neatly packaged system Halliman describes can be used to more accurately assess a company's current situation and identify immediate tactics, its bigger return will be realized when used as part of an ongoing program of identifying success strategies for the ever-unfolding future. Even the near-term future holds opportunities, in the economy's turnaround. Now is the time for a company to ready itself.

Better yet, why not put the company on the leading edge of that recovery now, by being better informed about the business environment and competitors' activities? If they're in a holding pattern...imagine the possibilities!

The book provides an easy-to-follow, structured method of presenting information. Halliman employs review and preview techniques, so the reader can understand the context of new information, each step following logically from the last, with summaries that describe a progressively growing, but comprehendible and manageable system. Real examples give the reader hands-on experience as the system is built and then comes together to yield realistic actions.

The data mining techniques and methodologies presented by Charles Halliman work. Whether your focus is research, marketing or consulting you would be wise to invest in "Business Intelligence Using Smart Techniques".

Great as starting point for urban develop.
This book is like "Every thing you want to know about cities growth and you, probably wouldn't think of...."

Professor Batty should be consider to urban modeling as Mandelbrot is to fractals.

This book is an immense collection of research on the application of complex systems to urban spatial analysis. While this book is not extensive and is probably not meant as a textbook on complex systems in its entirety, I highly recommend it for those interested in urban spatial analysis. The applications of the techniques go beyond geography and are useful in sociology, economics, or urban planning. A caveat that I should add is that the book is quite dense with methods and formulas and is probably not best to approach this book without some knowledge of advanced statistics. However, the theoretical overviews provided more than allow for those without this background to get something out of it. In short, if you are a graduate student, professor, or researcher I'd recommend this book for an insightful and important take on the nature of cities and urban analysis.

Prior to buying this book there were no reviews which mentioned that this was more a textbook than an in-depth but casual read.

This book is an exhaustive look at urban planning and an understanding of cities and the patterns of growth and population. While this is exactly what I was looking for, it is extremely dense and full of charts and graphs of advanced mathematical equations. I have no problem with this, however this is much more a textbook than a casual read with some interesting equations to backup the argument proposed.

I was very pleased with my purchase. The book was in excellent condition, and I received it in an appropriate time. I would definitely recommend this seller to future buyers. A+++!

I received my book in perfect condition and I
i erceived it within a ccouple of days.

A great refresher course for any teacher of Language Arts. The book uses the CLOZE technique, so you're learning as your filling in the answers (very active and involved learning). The reviews at the end of each chapter are a double check to see if you know the information presented. The pretest and posttest really assure you that you've learned something - which I did!

Minus the cost, of course, the book was a good purchase. I found it easy to read and helpful when it came time to write papers and site examples. This is definitely a good reference book to have around.

This is a text book for use in undergraduate courses on international political economy. Currently, it is the top choice of many instructors because it provides a thorough but readable historical account of how the world economy has been managed since the end of World War II. The book is organized in chapters about the international monetary system, foreign direct investment, and trade in both the developed and developing countries. In addition, it contains chapters about world oil politics, theories of economic development, and economic transitions in the formerly communist countries.

As the last reviewer, who appears to be the author, said, this is a good book for undergraduate courses on international political economy. It does a great job of explaining the basic concepts and is a very readable book. It was an assigned reading for a course I took on international political economy and it provided an excellent structure and basis for the course.

The only downsides are a few bad examples and minor factual details. It is nothing that seriously affects or hurts the book as a whole. Also, the book has a slight slant to the neo-liberal perspective on political economy. Marxism, as a serious alternative theory, is short-changed a bit in the text, although most other texts have an even larger bias in this area. Overall, it is a good text.

After spending 25 years practicing, lecturing, writing about, studying, and teaching data modeling, I was thrilled to discover new insights and gain more clarity in this field due to Dr. Simsion's diligent work that is shared in his latest book, "Data Modeling Theory and Practice". Like many data modelers, I have strong views on this subject and it was interesting to be able to see the broad range of opinions, experiences, and even to be able to see some of the diverse models produced in the research contained with this book. One of my views is that the more perspectives you can see, the greater the clarity. So, regardless of your views on data modeling, if you are interested in furthering your understanding of the discipline of data modeling, then I would highly recommend reading this material as I give my "two thumbs way up" to this revolutionary book.

I found this book to be a valuable sequel to the beginner and intermediate modeling texts, such as Data Modeling Made Simple and Graeme's first book, Data Modeling Essentials. This book provides a great mix of both academic and practitioner approaches to data modeling. I have been an analyst and modeler for a number of years and found the side by side comparisons of experts' believes and approaches to be fascinating. While reading this book, I found myself asking questions on my own beliefs and approaches to modeling, and this really helps improve the consistency of my modeling decisions. This is an intermediate to advanced modeling text that is extremely well-written and provides valuable insight into how we do data modeling.

To me, this book's value is a bit like children being warned not to accept lollies from strangers; it's a pity we even have to give such warnings, but it's absolutely essential we do. I wish to congratulate Simsion for bravely tackling a subject of much heated controversy, and in a manner that obviously reflects both a solid practitioner's hard-won lessons, but that is supported by rigorous academic research.
So what's this important message? Simply that data modelling is a creative exercise, where multiple "solutions" may be generated, each with relative merits. The importance lies in practitioners consciously and deliberately generating alternatives. Without this open-minded view, I have personally witnessed heated debates where one modeller defends his/her model because they know it can be made to work, and therefore assumes anything different must be "wrong". But even more significantly, modellers may stop looking as soon as one "workable" model is tabled, and hence miss out on alternatives that may prove beneficial in a given business context.
And why is it even controversial? Apparently, some academics teach data modelling that way. Maybe because it's easier for them to have one "correct" answer to a problem so marking assignments is easier? Or maybe that was what they were taught, and any students who pass through their ranks and end up teaching without encountering real-world modelling may perpetuate?
One warning, though. This book is not the first text to be read by those interested in data modelling. I would recommend Simsion & Witt's "Data Modelling Essentials for such people, followed by one of many excellent books on "patterns". David Hay got the patterns topic going in the data modelling community, and Len Silverston's two volume series has taken it much further. And the object-oriented community also has contributions to make on patterns.
A minor criticism - Simsion largely dismisses the use of the Unified Modeling Language's class modelling notation, in part arguing that "Class diagrams are intended to represent data structures which might be directly implemented using an object-oriented database" and goes on to correctly note the struggle of such databases to gain significant database market share that their vendors initially might have predicted. I would simply comment that there is a difference between using a subset of the class modelling syntax to represent what is truly a data model, as compared to using class modelling notation to represent classes which, in some cases, may never have "persistence" i.e. may never have their data values stored in a database of any kind. And even if class diagram notation is used (some might say misused?) just to represent a data model, I have seen this approach used quite effectively. So on this point, it looks like Simsion and I have slightly different views. But at the very heart of his book, he encourages open debate on alternative views, with the understanding that all views may have something to contribute.
So let's thank Simsion for offering his views, and encouraging others to offer theirs. Well done, it's a great reference book (probably not easy reading for those not exposed to research styles - but don't let that put you off), and one that hopefully bridges the gap between academics and practitioners, and gives the practitioners "permission" to be creative as most know is the way to generate alternative solutions for consideration.

I'm very happy with this transaction. The book is in good condition and the shipping to France was very fast. Thank you.

This book provides a wealth of excellent information on the Jane's F-15 combat sim. I progressed from a person who had not won a single dogfight to winning almost every single dogfight and destroying every single target I was sent out to destroy over the course of this book.

If you're new to flight sims and trying to tackle Janes' F-15, then you'll no doubt find this guide to be of great help. More experienced sim-pilots will enjoy the detailed graphs and weapons overviews, but much of the rest of the guide will be of little value for them. Much of the info in the guide is already available in the Expert Manual that came with the simulator. There is good information here for any player of Janes' F-15, but the focus is definately on the less experienced sim pilot.

This book provides a good practical knowledge of the finite element method with ANSYS program. You can find extensive examples from various engineering problems presented step by step. A previous knowledge of FEM would be recommended.

This book is far superior to any other ANSYS FE book. It has something like 40 examples and the cd includes the batch input files. Other books on the subject (see Moaeveni) lack the # of example problems or batch file processing tutorials. Great for beginers and intermediate users who want to get the most out of ANSYS.

In my opinion, this is the best Ansys Tutorial like book I have ever seen.
I have tried others similar, but this one contains not only basic information, but also really more advanced subjects, like non-linear analysis issues.
I really recommend it.

The God Chip Conspiracy, by Thomas J. Sanders.

Too rarely do we get a S/F book that has wide sweeping vision. Sanders's work like, William Olaf Stapledon's Star Maker, Heinlein's later fiction, and Asimov's Foundation Series, is not afraid to look at the big picture. Sanders extrapolates from the cutting edge of science, projects several centuries into the future and reveals the society created from that science. It's a society in crisis, the result of advances in artificial intelligence, nanotech and genetic manipulation combined with deep social changes. There may also be something dramatically wrong with the sun.

Herbert Stump, journalist, historian, romantic and priapism sufferer has crises of his own. He is selected to chronicle the journey of a huge new ship equipped with a quantum drive. Things go dramatically wrong. The ship leaves suddenly, most of the crew still on leave. Blame the God chip . . . and the cat. The odd-ball crew ventures through space and time. Stump discovers things about himself, the nature of reality, intelligence, and history that shake him to the core. He also finds love, but is unprepared for the true nature of his love.

Sounds grim, but it isn't. Absurd moments, bizarre situations and characters keep the chuckles coming. This story is for intelligent and mature audiences. Prudish narrow minded people and religious fanatics will be offended. The rest of us will enjoy the tale.

Here is a book which is as irreverent as a black mass on Easter Sunday! It is also slick and imaginative science fiction with all the elements of fine literary pedigree, with depth of character and a fine plot, in a fast-paced narrative running along in short, snappy chapters, all the while achieving a sharp timbre that delves into age-old philosophical questions. Sanders could be called the Tom Robbins of outer space. Or the Philip Roth of inner space, because even though this is futuristic fiction, there is a permeating fear that technology, in its lock-step march towards progress, is sucking the very soul from human beings. In fact, you can no longer be quite sure which ones are the people, and which ones the machines. Herbert Stump is our (poor) protagonist. He's assigned duty aboard the Spaceship Starfarer, not as a brilliant scientist or navigator or pilot or commando. Herb's problem is...Herb. He'd as soon read poetry as make love, and he's along on this scientific journey to Jupiter and The Outer Rim to...take notes. He accepts the assignment dutifully, even though he has been diagnosed with romantic dementia, a condition comparable to information overload in our time. His illness is precipitated by an inability to keep up with and adjust to technology. The disorder affects the mind in debilitating ways, most notably in areas relating to sex. To make matters worse, there seems to be something wrong with the sun (increased luminosity), the Captain has been decapitated and keeps complaining about it as his severed head sails freely around the ship on a small flying saucer. And the woman who might solve Herb's romantic dementia may or may not be human. Notwithstanding, Herb struggles along valiantly on his hunt for truth and beauty. But even truth and beauty are no longer what they seem. Love, sexuality, power, and even history itself are re-defined. Time follows no lines. Space comes and goes. What is The God Chip? The secret of the book, of course. Perhaps the secret of the universe.

The God Chip Conspiracy is that rarest of finds: new and original science fiction! Reminiscent of Hitchhikers Guide to the Galaxy and Red Dwarf, it uses hard science and explores profound themes while transcending ordinary sci-fi and fantasy plots. Add a clear simple style and a natural comedic tone to the mixture and you come up with a winner! I stayed up all night to read The God Chip Conspiracy as each new chapter added plot twists leading to bigger and bolder ideas. The surprises kept coming right up to the climax--what a climax! I laughed and I cried as the unlikely hero, Herbert Stump, traveled through space and time seeking salvation and relief from romantic dementia. The stakes keep getting higher, until he finds himself in a battle to save humanity. And save us he does; complete with a backup copy! Bold and irreverent, The God Chip Conspiracy is a must read. Even if you are not a science fiction fan, you'll enjoy this novel. Two thumbs up, way up!

Many discrete-event simulation books make this book unique. Banks didn't focus particularily on some packages, but the foundation of discrete-event simulation. I think this book intended to people who has some simulation background. It's also a good reference for researchers or grad students as well as practitioners since many literature and simulation vendors are listed. For no-simulation-background reader, this book may be a good starting point -as the first book for simulation. However, you may need other related books if you want to learn some packages. Not a bad book at all, very recommend.

The book is excelent. The tips and event simulations projects are useful (if you are in simulation and research operation market). I have four stars for this book because all the models are event oriented...

Don't buy if you need study dynamic models in diferential equations.

If you have a good background in calculus based statistics, this is a good reference book. The author has pulled together great historical statistical testing and design info and integrates it with recent research. A good deal of the work comes out of research recently presented at the Winter Simulation Conference series. Each chapter has ample bibliographic information for further reading.

I have read many books on hardware verification covering simulation, emulation, and formal verification. Lam's book is the most comprehensive and the best explained. The book covers simulation, test plans, coverage metrics, and formal verification. It covers the theory and the practical issues. HDL examples of test benches for various kinds of hardware properties and behaviors are provided in the book.

Finally a book on both simulation and formal verification with good depth. My company uses both tools on a daily basis.

I always wanted to learn about formal verification. Many books I have are too mathematical to follow. This book gives an easy intro. to formal verification and leads to the inner working of algorithms in formal verification. The sections on equivalence checking and symbolic simulation are very enlightening. Now I am more confident working with formal tools, after I know the principles behind them.

The book is great on simulation-based verification. it has a lot of practical advices and its presentation is very well organized. The chapters on coding for verification is especially practical --- I put them into use right away. The testbench chapter gives not only examples but also provides an insightful overview of testbench architecture. I skimmed through the chapter on simulators and caught a couple of good insights on the architectures of various kinds of simulators. I haven't finished the book yet but it is so far so good.

The only problem is that the book is too big, 600 pages! Some of the stuff probably should belong to another book.

In summary, I think every verification and design engineer should read it to get a running start.

Lam addresses an increasingly troubling problem in semiconductor design. As the transistor count keeps climbing, how to adequately simulate and test a chip?

Well, simulation comes first. The book describes design verification, where by this Lam restricts himself to functional verification. This is itself a large field, as can be appreciated by what the book presents of it. The text gives a good account of key ideas like equivalence checking and property checking. Where the basic idea is to have a redundant check that will hopefully point out any errors.

Then simulations are considered. These take up a large portion of the text. One approach is to build a comprehensive set of input test vectors. Of course, usually the number of possible combinations is too large to test all of these. But Lam points out that often groupings of the input are possible, with you only needing to test a few values from each group.

Another approach is to start from a formal set of specifications. It may be fair to say that both involve different types of complexity.

Lam also helps the reader by furnishing an extended problem set at the end of each chapter. The problems are nontrivial enough to give the reader a good workout. Very suitable as a graduate text, as well as at the professional level.