Simulation Books

This book will help you design simulations. It doesn't take you trough the design on the simulation, but rather help you apply certain algorithms to your simulations. If you know simulations and require help in coding Mathematica, this book is for you.

Simulation engineers seem to happen...rather than according to a plan. They build a model to solve a problem of theirs one day, and pretty soon other people are bringing them their problems to build models for.

This book is good for those of us who have followed that path. It links together those pieces that seem to float free in our knowledge bases, and helps to define the overall picture of doing a simulation and the topics that need to be addressed at a fundamental level when building a complex simulation.

If you want a beginning book...this ain't it. But if you have the need...then this is a good book to start with.

It's a very good reference for systems modeling and it's recommended to anyone involved in mathematical simulation of industrial equipments.

"Simulation" by Sheldon Ross is a good book for introducing undergraduates to Monte Carlo simulation. I teach statistics to final year undergraduate students and I find that this book is at the perfect level for my students.

After providing a recap of the basics of probability theory, Ross defines what a random number and a pseudorandom number are and then details how these numbers can be used to generate random variates from discrete and continuous probability distributions. Ross discusses the most commonly used algorithms for generating such variates, including the Inverse Transformation Method, the Acceptance-Rejection Method and methods for generating normal random variates. Ross also discusses problem solving using a simulation approach; the analysis of simulated data; variance reduction techniques (including how to determine the number of simulations required in order to solve a problem); and Markov Chain Monte Carlo methods.

Ross's explanations of the various topics are simple to follow and include a large number of worked examples to illustrate the various points and formulae. A large number of exercises are also provided at the end of each chapter, although solutions are not given.

The focus of this book is entirely on Monte Carlo simulation methods and Ross does not touch on any of the more sophisticated methods that have now superseded Monte Carlo methods (such as Latin Hypercube sampling), which may make this book a bit too simplistic for more advanced students (I am also writing a PhD in statistics, that involves the use of simulation techniques, and I found this book to be too basic to be helpful for that). However, for statistics students who are taking their first course in simulation, this book is perfectly pitched.

I am a big fan of MATLAB, and this is a good book, therefore, this book seems perfect for a Computational Sciences Survey course for undergraduates. Professionals, such as engineers or mathmematicians, can use this book to learn how easy it is to use Maple and MATLAB.

The topics are diverse, and are not systematic, which I consider to be a strength for this type of book. The writing is concise and direct.

The book is written primarily by Swiss and Czech authors; some minor grammer and puncuation errors exist and the references list many non-english titles. I think this is a strength: it is important to realize the international nature of Compuational Science.

Very basic, but quite useful for the mechanical engineers. It would be helpful, if you want to learn 'matlab' as a mechanical engineer.

I was very poor in computers.i knew nothing about computers.when i got the book i was scared wether i could read it.it was really good .all you have to know is the subject wise .i got a very good grade in the subject which have a lot a spice projects.

Automated shape analysis is a difficult task, with many practical applications. The text is a collection of papers tackling the problem. Several use level set methods while others perform analysis in an infinite dimensional space. Some chapters deal with extracting level lines from a two dimensional image, while one chapter discusses the use of integral invariants for shape matching.

The maths treatment throughout the book is advanced. Perhaps best for a graduate student or higher. What may be striking to the reader is that our wetware pattern recognition is still so much better than the algorithmic methods documented here. Much research remains to be done, and the book is only an early step.

This book examines, explains and illustrates the attack tactics used by sub commanders during WW2. Included are explanations and illustrations of basic attack philosophy, 15 different attack tactics, and defensive strategies and maneuvers.

There are many of photographs and even more illustrations showing the different attack tactics and sub positioning. For me, these illustrations were worth the price of the book and they show visually what some authors only describe. The attack tactics are 2 pages each...one page has the diagram with each stage numbered. The opposite page describes what you should do during each number stage. It isn't as detailed as APPENDIX C of the Silent Hunter Manual, but it does contain more examples. To fully understand the tactics of setting up for a torpedo attack I would recommend a combination of this book, the SH manual and page 72 (sample attack data) of McCant's "War Patrols of the USS Flasher" plus an understanding of basic geometry and trigonomety. Finally, it has a section on escape tactics.

Examples from actual attacks from USS Parch, USS Tang and USS Skipjack are included showing how actual subs used these tactics.

Playing hints are provided for "Silent Service", "GATO", "Up Periscope!", and "Sub Battle Simulator". The book was published in 1987, so there is no info about Aces of the Deep or Silent Hunter.

The only error I noticed was on the diagram that described "Angle on the Bow Determination". The author got the AOB for the ships in the diagram switched.

This is a good book for those of us "visual" people...that is, who need to "see" things in order to understand. Most authors talk about "gyro settings", "angle on the bow", "normal approach course", but give no visual example. This book fills the gap and helps me envision what a particular author is describing. Even though the game section was dated, the tactics are still useful if you apply them to AOD or Silent Hunter...a good buy for the price.

Although this survey is about a decade old now, and there have been a great deal of advancements in modeling and experiment in the time since this survey appeared, the primary chapers in it remain valuable.

The volume began inauspiciously with a chapter by immunologists using dated "fuzzy logic" drivel to make some general claims about the limitations of "Western logic" in helping to understand the immune system. In addition to the authors being so innumerate as to believe that Bart Kosko introduced the notion of a continuum to mathematics, this chapter was devoid of any information that would aid in the modeling of the immune system. Fortunately, this information was provided quite nicely in a later chapter by Kuznetsov.

The second introductory chapter by John Adam gave a very broad overview of some past models and a somewhat philosophical discussion on how to go about modeling biological systems. It included discussions on alternative modeling systems such as catastrophe theory that have now fallen by the wayside, but that may still be of intellectual interest to people working in the field.

The core of the useful content of the book was formed by chapters such as the aforementioned one by Kuznetsov, the one on kinetic cellular theory by Bellomo, Preziosi, and Forni, and the overview of tumor development stages by Chaplain. The other two chapters were less interesting, but still of some use.