Simulation Books

This book opens up new possibilities. It includes a basically simple Graphical User Interface (GUI) that can be used in Microsoft Windows (and in fact uses it for the examples). I rate it with 4 stars instead of 5, because the instructions in the examples are for those experienced with NEURON. For beginners like myself, it would help to say which buttons should be clicked and which keys pressed.

This book describes the NEURON simulation system, which can be accessed for installation and instructions at the NEURON web site. Simulation implies using the realistic Hodgkin-Huxley neuron. NEURON was initially for individual neurons, but it has now been extended to networks.

For those who believe in the classical physical science of the 19th century, including physics, chemistry, thermodynamics, and the differential equations in which they are expressed, NEURON has a special meaning. The Hodgkin-Huxley neuron extended classical physical science to a wide range of neuron types and species. The reductionist work of Eric Kandel explained many types of synapses at the molecular level, and therefore explains the connection of neurons in a network in terms of classical physical science.

Our special interest is in networks of interneurons. The most accessible mammalian networks are those in the olfactory bulb of the rat. For this special class, classical physical science, using NEURON, extends into neurobiology. It DEFINES a physically possible network structure. It is likely that evolution will have exploited at least part of this structure to extend order. This possibility is there. It is real. And it is begging for study.

This work will not require a supercomputer. From the deterministic point of view of classical physical science, there is no magic in statistically large numbers of cells. Two dozen or less should be enough to display emerging order.

Its a concise book and deals mostly with the Monte Carlo simulation technique as used in semiconductor device modeling.
Chap 1 and 2 provide the groundwork,chap 2 in fact provides most of the scattering mechanisms with their mathematical formulations,the equations derived therein are later used for developing fortran codes,there are fortran codes scattered all over the book and the appendix includes a full code too.

Anyone attempting to use Monte Carlo simulation for device modeling and is making a start, this is one of the ideal places to begin with,the list of references given are to an extent comprehensive,most of the papers suggested appear in the publications of the American physical society or published by Elsevier and are the precursor to the present state of device modeling.

This book shall make a good reading though the price at $128 may be on the higher side.

This book serves as an introduction to object orientation and the language Eiffel.

As an introduction to OO, it does an okay job. There are better books on this subject, but there are a lot more books that are worse.

As an introduction to Eiffel, this book is great. I tried learning eiffel from both Eiffel: the language, which is a reference guide, and Object Oriented Software Construction, which is avery academic text. This book takes you through the basics of OO and after that takes you through the basics of Eiffel.

Once I finished this book, I had both a very good idea what the power of Eiffel is, how to use it and I was able to write real programs. (I do recommend Eiffel: The Language as a reference guide for programming real world applications).

This is a good text for microwave and integrated optics engineering. The applications for planar and channel optical waveguides added the optical fibers studies are of greate technologycal importance. The introduction to the nonlinear problems and the quantum well structures close this book to the more recent areas on numerical simulations with optical waveguide applications

The number of books on high order p- and hp-finite element methods is limited. This book goes one step further by providing a rigorous mathematical treatement of these methods applied to linear elliptic boundary value problems. It includes very recent advances in the field and it is an excellent resource for both researchers and educators. The only negative aspect of this first edition of the book is the (unusually high number of) typographical errors. Hopefully, this will be corrected in the second edition.

Pros: I liked very much this book. It is very well written and easy to read. If you don't like fortran, no matter!! I developed a Matlab code from the explanations on the first two chaps. The subjects covered (from fluid flow and solid deformations to special relativistic motions) are well documented and plenty of examples, making them very easy to follow. I've tryed the method, and I find it a very good one to simulate fragmentation flows.
Cons:The references provided are very good (they're a lot, as well!), but I think that they're not enogh linked with the text. Also, it will be interesting if the book devote a little more emphasis in fluid flow... the book fails (as far as I've seen all the literature in particle modelling using this method fails too) to describe a way to calculate pressure.
Summarizing, you'll find this book is worth your bucks!

Bianchi offers both advice and code to perform simulations of phase locked loops. He develops enough theory for you to understand the key ideas. Though this is not a book on circuit theory per se; he suggests you consult other texts for that.

The accompanying CD has Mathcad and Simetrix engines. The Mathcad is the equivalent of Maple or Mathematica. It is unclear to me why he has chosen Mathcad over these. But for many readers, it is the Simetrix which will be more pertinent. It simulates analog and digital circuits. The analog portion is descended from the venerable Spice, which should be well known to any electrical engineer. You might consider the book as an indepth tutorial on Simetrix.

Starting with genes, proteins, or other biological traits, phylogenetics is about describing relationships between them. Phylogenetics tries to estimate "family trees" given only the family members visible today - exact lineage is guesswork, since the parents, grandparents, and shared heritage can never be known.

This book offers deep analysis of one family of techniques for deducing possible trees. It gives a very thorough, formal description of ways to examine and resolve different sources of information, or to determine that they can not be resolved. It offers minute analysis of ways to take subsets of the whole family, analyze the subsets, then merge the subset conclusions together, as much as possible. It also addresses the statistical character of the tree-building problem. The reader who masters this material has a powerful set of tools for phylogenetic analysis.

That reader must be truly dedicated, though. The first two chapters read like mathematical graph theory (because they are). The next few chapters are also highly mathematical, but offer a bit more biological insight. I'm not a mathematician, so I find this book tough going. The graph-theoretic conclusions give wonderful insight into combining information from multiple traits and in noting points of conflict. It takes me a while, though, to unwind the formal notation enough to attach biological meaning to it. There are a few helpful statistical analyses, but they could be missed - the more familiar kinds of statistics are hidden among the combinatorics and tree perturbations. Later chapters revisit familiar topics like parsimony and Markov models, but with theoretical depth that's hard to find elsewhere.

Within the whole gamut of phylogenetic techniques now used, this book addresses only one range. Within that range, however, Semple and Steel have done a fine job of showing the theory behind those techniques. I value the insights that this book brings. Even so, it's not always easy to dislodge those insights from the solid slabs of proofs in which they are embedded. I appreciate the demonstration of NP-completeness of specific problems, but I can't always apply that knowledge to the biology I want to address.

Anyone devoted to mastering every nuance of phylogenetic analysis should read this book. It goes beyond the needs of most application developers, though. It probably won't say much at all to those who just use the results of analysis; it simply does not address any particular application that an analyst might use. If you have the determination to understand and the patience to pick out the understanding, you'll find a lot to like in "Phylogenetics".

While this was a required text, I find it to be a great resource with easy to understand experiments and terminology. The simulations are fun and keep you interested so it doesn't feel like a task.

The book does deliver what it says. It has 30 questions to cover the 9 knowledge areas as well as foundation and professional and social responsibility. The questions are interesting and get your brain going. They are in line with the course materials and the PMBOK.

On the area of improvement: It has a number of errors including wrong answers in the answers sheet as well as a number of spelling mistakes.

Its definitely not a bad book to support your pmp preparation.

I used this book to support a PMP exam preparation course and it fitted in well. The price is reasonable, however i feel it is the max you could ask for this book.