Modeling and Simulation of Mineral Processing Systems Review

Modeling and Simulation of Mineral Processing Systems
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An approach which, of necessity for design, addresses the numerical treatment of subjects which are not easily amenable to this. Many working "laws" therefore have an empirical basis. The approach appears to be thorough but unfortunately, as the supplier was unable to furnish the "MODSIM" program CD-ROM which should accompany the book, I was unable to try it. Others may like to comment.

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Dr. R. Peter King covers the field of quantitative modeling of mineral processing equipment and the use of these models to simulate the actual behavior of ore dressing and coal washing as they are configured to work in industrial practice.The material is presented in a pedagogical style that is particularly suitable for readers who wish to learn the wide variety of modeling methods that have evolved in this field.The models vary widely from one unit type to another.As a result each model is described in some detail.Wherever possible model structure is related to the underlying physical processes that govern the behaviour of particulate material in the processing equipment.Predictive models are emphasised throughout so that, when combined, they can be used to simulate the operation of complex mineral processing flowsheets.The development of successful simulation techniques is a major objective of the work that is covered in the text. * Covers all aspects of modeling and simulation* Provides all necessary tools to put teh theory into practice* Free CD ROM included

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Atmospheric and Space Flight Dynamics: Modeling and Simulation with MATLAB® and Simulink® (Modeling and Simulation in Science, Engineering and Technology) Review

Atmospheric and Space Flight Dynamics: Modeling and Simulation with MATLABĀ® and SimulinkĀ® (Modeling and Simulation in Science, Engineering and Technology)
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I purchased this book as a reference for my aerospace engineering senior design project, in which I functioned as the dyanmics and control analyst. This book proved to be invaluable in every aspect of my responsibilities, particularly and most importantly in actual simulation of the equations of motion. The specific MATLAB codes provided are an excellent reference for writing your own scripts and functions for the numerical integration, and auxillary functions like the atmosphere and gravity programs were huge time-savers. If unfamiliar with the material, his step-by-step approach to the end goal of simulating a wide variety of atmospheric, transatmospheric, and spaceflight/orbital problems in both aero- and astronautical vehicles is perfectly structured. You will gain valuable insight into common dynamic modeling assumptions, both in 3 and 6 degree of freedom problems. I could not have asked for a better text.
The only possible suggestion for improvement I have is a greater number of even more in-depth, modern-type problems, like a recurring Space Shuttle example; this would cover a vertical-take off rocket with unique strcuture, aerodynamics, and staging into orbit, rendezvous with an orbiting station, lifting body reentry, and glide-to-target landing. Other possibilities include atmospheric simulations of hypersonic vehicles with ramjet/scramjet type propulsion. Still, these are just small suggestions in the face of what is an overall excellent publication; I would certainly buy future works from this author, particularly those with similar topics and examples as brought up above.

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This book offers a unified presentation that does not discriminate between atmospheric and space flight. It demonstrates that the two disciplines have evolved from the same set of physical principles and introduces a broad range of critical concepts in an accessible, yet mathematically rigorous presentation.The book presents many MATLAB and Simulink-based numerical examples and real-world simulations. Replete with illustrations, end-of-chapter exercises, and selected solutions, the work is primarily useful as a textbook for advanced undergraduate and beginning graduate-level students.

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Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological and Engineering Systems (Systems Engineering) Review

Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological and Engineering Systems (Systems Engineering)
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Many good books have recently been published on fuzzyrule-based systems for control, but few authors have dealtwith open systems. The book by Bardossy and Duckstein, which does an excellent job of introducing fuzzy rule-based modeling of open systems, may stimulate more research in this area. Indeed, the realistic examples presented in the book are very convincing. More emphasis could however have been put on the complex processes of selecting input variables and defining fuzzy rules. The discussion, in the introduction, of the differences between fuzzy numbers and probability distributions is certainly too short to convince a statistician of the usefulness of fuzzy sets for uncertainty modeling. However, if the book does not contribute to this philosophical debate, it certainly does a good job of showing the practical value of fuzzy models for nonparametric modeling of open systems.

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This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback.The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions.Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given.Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution.

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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Review

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
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This book is a detailed overview of the computational modeling of nervous systems from the molecular and cellular level and from the standpoint of human psychophysics and psychology. They divide their conception of modeling into descriptive, mechanistic, and interpretive models. My sole interest was in Part 3, which covers the mathematical modeling of adaptation and learning, so my review will be confined to these chapters. The virtue of this book, and others like it, is the insistence on empirical validation of the models, and not their justification by "thought experiments" and arm-chair reasoning, as is typically done in philosophy.
Part 3 begins with a discussion of synaptic plasticity and to what degree it explains learning and memory. The goal here is to develop mathematical models to understand how experience and training modify the neuronal synapses and how these changes effect the neuronal patterns and the eventual behavior. The Hebb model of neuronal firing is ubiquitous in this area of research, and the authors discuss it as a rule that synapses change in proportion to the correlation of the activities of pre- and postsynaptic neurons. Experimental data is immediately given that illustrates long-term potentiation (LTP) and long-term depression (LTD). The authors concentrate mostly on models based on unsupervised learning in this chapter. The rules for synaptic modification are given as differential equations and describe the rate of change of the synaptic weights with respect to the pre- and postsynaptic activity. The covariance and BCM rules are discussed, the first separately requiring postsynaptic and presynaptic activity, the second requiring both simultaneously. The authors consider ocular dominance in the context of unsupervised learning and study the effect of plasticity on multiple neurons. The last section of the chapter covers supervised learning, in which a set of inputs and the desired outputs are imposed during training.
In the next chapter, the authors consider the area of reinforcement learning, beginning with a discussion of the mathematical models for classical conditioning, and introducing the temporal difference learning algorithm. The authors discuss the Rescorla-Wagner rule , which is a trial-by-trial learning rule for the weight adjustments, in terms of the reward, the prediction, and the learning rate. They then discuss more realistic policies such as static action choice, where the reward/punishment immediately follows the action taken, and sequential action choice, where rewards may be delayed. The authors discuss foraging behavior of bees as an example of static action choice, reducing it to a stochastic two-armed bandit problem. The maze task for rats is discussed as an example of sequential action choice, and the authors reduce it to the "actor-critic algorithm." A generalized reinforcement learning algorithm is then discussed, with the rat water maze problem given as an example.
Chapter 10 is an overview of what the authors call "representational learning", which, as they explain, is a study of neural representations from a computational point of view. The goal is to begin with sensory input and find out how representations are generated on the basis of these inputs. That such representations are necessary is based on for example the consideration of the visual system, since, argue the authors, what is presented at the retina is too crude for an accurate representation of the visual world. The main strategy in the chapter is to begin with a deterministic or probabilistic input and construct a recognition algorithm that gives an estimate of the input. The algorithms constructed are all based on unsupervised learning, and hence the existence and nature of the causes must be computed using heuristics and the statistics of the input data. These two requirements are met via the construction of first a generative model and then a recognition model in the chapter. The familiar 'expectation maximization' is discussed as a method of optimization between real and synthetic data in generative models. A detailed overview of expectation maximization is given in the context of 'density estimation'. The authors then move on to discuss causal models for density estimation, such as Gaussian mixtures, the K-means algorithm, factor analysis, and principal components analysis. They then discuss sparse coding, as a technique to deal with the fact that the cortical activity is not Gaussian. They illustrate an experimental sample, showing the activity follows an exponential distribution in a neuron in the inferotemporal area of the macaque brain. The reader will recognize 'sparse' probability distributions as being 'heavy-tailed', i.e. having values close to zero usually, but ones far from zero sometimes. The authors emphasize the difficulties in the computation of the recognition distribution explicitly. The Olshausen/Field model is used to give a deterministic approximate recognition model for this purpose. The authors then give a fairly detailed overview of a two-layer, nonlinear 'Helmholtz machine' with binary inputs. They illustrate how to obtain the expectation maximization in terms of the Kullback-Leibler divergence. The learning in this model takes place via stochastic sampling and occurs in two phases, the so-called "wake and sleep" algorithm. The last section of the chapter gives a general discussion of how recent interest in coding, transmitting, and decoding images has led to much more research into representational learning algorithms. They discuss multi-resolution decomposition and its relationship to the coding algorithms available.

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The Outer Game of Trading: Modeling the Trading Strategies of Today's Market Wizard Review

The Outer Game of Trading: Modeling the Trading Strategies of Today's Market Wizard
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I know that Howard Abell is a very capable trader. However, you do not need to purchase all of his books due to the great deal of redundancy present in his writings. The title of this book is misleading. If you are looking for specific strategies or new ideas forget about it. I am not saying one needs to have a new idea in order to make money in the markets; what I am saying merely is that this book is more a pyschological treatise on the aspects of trading than one on methodologies. Out of all of his books this is the only title I can recommend. The Inner Game of trading is also good. But thats about all you need.

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Recombinant Urbanism: Conceptual Modeling in Architecture, Urban Design and City Theory Review

Recombinant Urbanism: Conceptual Modeling in Architecture, Urban Design and City Theory
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Pragmatic exploitation of cities and their dwellers may be an ineradicable disease that drives the squalor and eventual decline of urban agglommerations, but those who take on diagnosis of the seemingly incurable become saviors if successful. There have been only a handful of modern-era thinkers with the knowledge, insight and creativity on what's wrong with the design of cities and what might be done to make it better, Viollet le Duc, Lewis Mumford, Kevin Lynch among them. It is an unexpected pleasure to encounter a new deep thinker standing on these giants' shoulders in Grahame Shane's magisterial "Recombinant Urbanism: Conceptual Modeling in Architecture, Urban Design and City Theory." The volume is comprehensive on urbanism, historically and intellectually, and will amply reward the student, scholar and professional who reads it in parts or most beneficially, in whole -- more than once. Prepare to be highly educated by this book, not merely advised what to do to get or keep a job or get a project funded by public taxation. If read and comprehended by urban policy makers it will contribute to their escape from real estate development hell, or if not that, it will arm honorable officials against the weasels who want to claim cities as their own profitmaking playpens. Shane wonderfully reminds what it is like to learn from a deeply thoughtful scholar offering open wisdom compared to a city-exploiter pitching secret schemes. Still, one might imagine land developers and good buddy officials searching Shane's compendium for nuggets to use in their next snake oil presentation to suspicious citizen groups rightfully fed up with unceasing demands for bailouts.

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Distributed Hydrologic Modeling Using GIS (Water Science and Technology Library) Review

Distributed Hydrologic Modeling Using GIS (Water Science and Technology Library)
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This book is a must read for those interested in understanding the recent changes in the field of hydrologic modeling - changes that will shape the future of the field. Distributed modeling is addressed from the ground up, clearly showing the science behind the tools. It is an essential part of a hydrologic modeler's library and an excellent student's text. I wholeheartedly recommend it.

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Bullet Penetration: Modeling the Dynamics & the Incapacitation Resulting from Wound Trauma Review

Bullet Penetration: Modeling the Dynamics and the Incapacitation Resulting from Wound Trauma
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"This remarkable book...advances wound ballistics to the status of a mature predictive
science...This superb book can provide those responsible for weapon and bullet
selection with the reliable information they need to make informed choices -- to
balance intelligently the inevitable pros and cons that accompany these compromises. It
further provides data and insights that are of crucial importance to Wound Ballistics
Researchers, Forensic Pathologists. Firearms Examiners, Trauma Surgeons, Ordnance
Engineers, Law Enforcement Personnel and others critically dependent on firearm
performance. "
- Fighting Firearms, (January 1995) by Dr. Martin Fackler, M.D., President of the
International Wound Ballistics Association
"This new work in the field of wound ballistics introduces a model of bullet penetration
dynamics based on solid physics and mathematics that will interest those trying to get
to the bottom of the 'stopping power' debate...Previous internal ballistics models are
reviewed, analyzed and presented along with a considerable amount of testing and data
done by the author in forming his model and conclusions. Though this book is not light
reading, its graphs and clear explanations make the subject more understandable to
non-physicists. The author, an engineer who worked with the space program, drew
much medical information from Dr. Martin Fackler and other authorities from the
International Wound Ballistics Association."
- The American Rifleman (June 1995)


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Sinusoidal Analysis and Modeling of Weakly Nonlinear Circuits, With Application to Nonlinear Interference Effects (Van Nostrand Reinhold Electrical/Computer Science and Engineering Series) Review

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Surface Water Quality Modeling Review

Surface Water Quality Modeling
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I found this book to be extremely useful. It covers the necessary issues of surface water modeling, such as reaction kinetics, mixed vs non-mixed systems, a variety of possible contaminants and indicators, as well as a variety of surface water body types. Each part of the book is a series of lectures containing theory as well as practical modeling methods. The text is clear and flows well, with occasional comical examples and literary quotes.

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Since the 1920's, scientists and engineers around the globe have been using mathematical models to simulate the transport and fate of pollutants in natural waters.Today, and in the foreseeable future, more of these applications are being generated in an effort to develop economical solutions to water-quality problems.The primary audience for this book is first-year graduate students, including both MA and Ph.D. students. The book, however, could be used as a basis for a senior undergraduate course.The text is divided into seven major parts.The first two cover Modeling Fundamentals, (including material on mathematics, numerical methods, kinetics, diffusion, etc).The remaining parts deal with major water-quality modeling problems such as dissolved oxygen, eutrophication, and toxics.The text is written in lecture format, ideal for case study and teaching purposes.The book stresses theory and application.

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Modelling and Quantitative Methods in Fisheries, Second Edition Review

Modelling and Quantitative Methods in Fisheries, Second Edition
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In my opinion, Malcolm Haddon has managed a "tour de force" with this book. He not only covered most of the modern methods of quantitative analysis and modelling in fisheries science but he did so in a clear and relatively simple language. His book is approachable to all biologists with a basic understanding of mathematics and statistics. Yet, he managed to cover both the theoretical underpinnings of the methods and the practical aspects of their use (options, pitfalls ... etc.). In addition, the book gives MS Excel examples of the methods which should allow those of us who are not programmers to fully appreciate the methods by using them interactively. The Excel spreadsheets are also available for download on two web sites.

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With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workbooks are available for download from CRC Press Online.In this second edition, the author has revised all chapters and improved a number of the examples. This edition also includes two entirely new chapters:Characterization of Uncertainty covers asymptotic errors and likelihood profiles and develops a generalized Gibbs sampler to run a Markov chain Monte Carlo analysis that can be used to generate Bayesian posteriorsSized-Based Models implements a fully functional size-based stock assessment model using abalone as an exampleThis book continues to cover a broad range of topics related to quantitative methods and modelling. It offers a solid foundation in the skills required for the quantitative study of marine populations. Explaining important and relatively complex ideas and methods in a clear manner, the author presents full, step-by-step derivations of equations as much as possible to enable a thorough understanding of the models and methods.

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Design of Multithreaded Software: The Entity-Life Modeling Approach Review

Design of Multithreaded Software: The Entity-Life Modeling Approach
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Dr Sanden has created a very impressive piece of literature. As a professor of computer science, I found this book to be an incredible asset to my professional "tool kit," so to speak. Further, Dr. Sanden's book would be critical asset as a text book as its narration keeps the reader enticed, yet has a number of solid application concepts. I unequivocally recommend this book as a professional asset as well as a text book. Again, this book is quite an impressive piece of work that is a strong contribution to this professional field.

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This book assumes familiarity with threads (in a language such as Ada, C#, or Java)and introduces the entity-life modeling (ELM) design approach for certain kinds of multithreaded software. ELM focuses on "reactive systems," which continuously interact with the problem environment. These "reactive systems" include embedded systems, as well as such interactive systems as cruise controllers and automated teller machines.
Part I covers two fundamentals: program-language thread support and state diagramming. These are necessary for understanding ELM and are provided primarily for reference. Part II covers ELM from different angles. Part III positions ELM relative to other design approaches.


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d'artiste Character Modeling 3: Digital Artists Master Class Review

d'artiste Character Modeling 3: Digital Artists Master Class
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d'artiste: Character Modeling 3 is the eighth book in the Digital Artist Master Class series. Each d'artiste title features the digital art techniques and approaches of a small group of artists.
The 208-page book comes in a sturdy slipcase. There's also a signed and leather bound limited edition if you're into it.
The featured artists here are Giovanni Nakpil, Jan-Bart Van Beek (Killzone creator) and Cesar Dacol Jr. Their bios are further down this review.
Each artist has three sections: background on their career, the invited artist gallery and the tutorial section. So it's actually part art book, part tutorials. Everything's written in first person by the artists. The stories are on how they got started in computer graphics, and got to where they are today. All pretty inspiring.
Different 3D software packages are used but the primary one is Zbrush, and to a lesser extent Maya and Mudbox. The tutorials are actually step-by-step walkthrough on how the models are conceived, modeled and rendered. My favourite tutorial is the one on the Helghast sniper from Killzone 2, which is modeled using Zbrush and Maya. It shows how the sniper is modeled, texture mapped and how the ridiculously cool cloaking shader is created.
The invited artist gallery is filled with top notch 3D characters, be it realistic or stylistic, personal or commissioned work. There's a nice variety of all shapes and sizes, humans and not. A few pieces are actually created from clay, and some, latex. The ones in latex are incredibly realistic and I've no idea how they are created. Anyway, all invited artists have their contact and info provided should you want to check out more art from them.
This book is recommended to 3D character modelers and artists in the CG industry. Those who use Zbrush will benefit a bit more from the tutorials.
-
For those buying from the Ballistic Publishing website...
Ballistic Publishing has made available some downloads for the first 500 customers who pre-order the slipcase or 200-copies limited edition. The downloads are high-resolution meshes (ZTL and OBJ file formats) of Giovanni Nakpil's quadruped creature and Cesar Dacol Jr's Pond Guardian from the tutorials. On the download page, I also found an additional (bonus?) media pack download. Inside are three walkthrough videos by artists who created the cover art for Matte Painting 2, EXPOSÉ 6 and EXPOSÉ 7.
(More pictures are available on my blog. Just visit my Amazon profile for the link.)

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d'artiste: Character Modeling 3 presents the techniques of leading character modelers Jan-Bart van Beek, Giovanni Nakpil, and Cesar Dacol Jr.

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Scaling Analysis in Modeling Transport and Reaction Processes: A Systematic Approach to Model Building and the Art of Approximation Review

Scaling Analysis in Modeling Transport and Reaction Processes: A Systematic Approach to Model Building and the Art of Approximation
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This is a most recommended book to everyone dealing with engineering analysis. Nicely written, this is a good reading. Recomended for graduate students or advanced undergrad with strong interest on math, computer analysis.

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Regression Modeling Strategies Review

Regression Modeling Strategies
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Frank Harrell is a Professor who does a lot of consulting in medical research. This book covers a wide variety of topics in regression analysis including many advanced techniques including data reduction, smoothing techniques, variable selection, transformations, shrinkage methods, tree-based methods and resampling. But note the title "Regression Modeling Strategies". Unlike most advanced texts in regression this book emphasizes modeling strategies. So the focus is on things like variable selection and other techniques to avoid overfitting models and diagnostics to look for violations in assumptions such as variance homogeneity or normality and independence of residuals, or stability problems like colinearity.
The book covers an extensive collection of modern techniques for exploratory data analysis. Inferential methods are also considered and he deals appropriately with important issues (particularly for medical research) such as imputation of missing values. Many examples are considered and illustrated in S-PLUS.
Harrell also provides many rules of thumb based on his own experience building models. A lot of the techniques are illustrated using data from the Titanic where it is interesting to see which factors affected the probability of survival. My only disappointment was that there is perhaps too much emphasis on this one particular data set.
A standard regression text would be expected to include linear and nonlinear regression. Harrell goes much deeper including nonparametric regression, logistic regression and survival models (e.g. the Cox proportional hazards model).


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Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

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VHDL: Analysis and Modeling of Digital Systems Review

VHDL: Analysis and Modeling of Digital Systems
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Background info:
I have been an ASIC engineer since 1986. I have designed many ASICs in Verilog and VHDL. I have 7 books on VHDL including Dr. Navabi's text.
Some of the VHDL books out there are more like cookbooks: too many code examples and not enough explanation. Navabi's book is NOT a cookbook.
Further, it is hard to do a direct comparison to other VHDL texts. In a way it would be like comparing apples and oranges. While some VHDL texts try to explain everything about VHDL, other books like Dr. Navabi's explain the more useful parts of VHDL as being used by a digital systems or ASIC designers. While other books are mostly for RTL coders with very little testbench and system level modeling info. In my opinion, test is extremely important as well as modeling at the system level. Many books out there do not do a good job on those aspects. Most books provide very brief explanations of test benches and/or system level modeling.
This book is highly useful for a digital systems design engineer or architect. This book is not only covers coding for RTL synthesis but doing the testbenches, and sytem level modeling as well. This book has a very good balance between all the main uses of the VHDL modeling langauage.
Here is my overview of the chapters :
The first two chapters provides you with a history of modeling languages and the reason VHDL was created. I recommend that you read these chapters, especially if this is your first modeling language. The chapters are not long, but it provides a very good high level overview to modeling, synthesis, and test.
Chapter three gets you up and running quickly by providing simple examples to give you a good introduction to behavioral and structural VHDL.
Chapters 4 though 9 are heart of the VHDL aspect of the book.
Chapter 4 is very important. It describes VHDL inertial and concurrent timing in great detail. In fact, I believe Dr. Navabi's book is the best available in this aspect! It is important to understand for modeling and especially testing purposes. Chapter 5 is on structural VHDL. it is a good place to start since it is the easiest to understand. Chapter 6 introduces procedures, functions, packages, generics, and configurations. I like the way this chapter is written. Other books are not as easy to read as this one. Great examples and its clearly written as is the entire book actually. Chapter 7 digs into the VHDL types, operators, and attributes. Chapter 8 covers guarding and signal resolution. It also provides a good state machine example. Once you get through Chapter 8, pat yourself on the back because you got through the hard parts of VHDL! VHDL is a harder language to learn than Verilog. But for good reason, VHDL is much more powerful and structured than Verilog in my opinion. You can code faster in Verilog, but the code is not typically as readable as VHDL. Most of the VHDL codes I have seen are much more readable. Some of the Verilog code I have seen are downright nasty looking and time consuming to interpret. Chapter 9 starts to put it (chapters 6-8) all together by more thorough examples behavioral modeling: testbenches/harnesses, arbitration/handshaking, etc.
Chapters 10-11 puts it all together with some system examples : cpu, dma, system bus modeling/timing/interfacing, etc. even memory caches! These are not complicated examples but they are real world examples. All of the techniques are still begin used today. If they were more complicated examples the book would need to be much bigger. However, these are great examples that ties everything up. Once you complete chapter 11, you are well on your way! You will have accomplished something!
Don't overlook Chapters 12 (advanced modeling) and the appendices (esp. App. B, the synthesis subset). This additional information puts Navabi's book above other VHDL books in my opinion.
Conclusion:
It is difficult to create a VHDL book to be 'the' book for all types and levels of designers and engineers (architectural, RTL coders, testbench and verification, etc.) But, in my opinion this book comes closest. I highly recommend this book! I have many books on VHDL. This book is valuable to me as a reference and has helped me tremendously - it's a keeper! All the codes work and I only found one insignificant typo. I can not say that about any of my other VHDL books. In fact, I will probably soon be getting rid of some of my VHDL books to make space on my shelves for new books. I'll be keeping Navabi's VHDL book as a permanent reference- for sure! I recommend this book for beginners because I like the way it progresses and delivers the material: in the right order and in the right amount. I recommend this book for moer advanced people as well, I am sure that it has material that is not covered in other VHDL books. And it makes a great reference as well.
P.S.
There are recent additions to VHDL that are not discussed in this book..namely VHDL-AMS, which adds analog extentions. However, it is still very young and most simulators do not support the analog extentions yet.

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The definitive guide to VHDLÑnow updated with the new VHDL93 standard! Here's the new second edition of the authoritative reference engineers need to guide them through the use of VHDL hardware description language in the analysis, simulation, and modeling of complicated microelectronic circuits. The number and depth of its relevant and practical examples and problems is what sets this edition apart from other VHDL texts. It includes extensive new material to bring the guide fully up to date with the new VHDL93 standard, including new chapters on design flow, interfacing, modeling, and timing, as well as appendixes on logic synthesis and description styles.

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Stats: Modeling the World Review

Stats: Modeling the World
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Chapter 2 part 1, i was reading about amazon and they put their item number in it describing about how 0321267435 may be a numerical value but it's actually the name Stats: Modeling the World. so i typed the code in and what do you know? I'm here now!

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Stats: Modeling the World is a modern book in many ways. It carries a core focus on statistical thinking throughout the text, emphasizing how statistics helps us to understand the world. And it utilizes both graphing calculator and computer software technologies in doing Statistics. The topic order is designed to ensure that each new topic fits into the growing structure of understanding that students build. The mantra of Think, Show, and Tell is repeated in every chapter, emphasizing the importance of thinking about a statistics question and reporting our findings. The authors know that the best way to teach is with humor. The book is fun to read. And students report that they actually read it. (Honest!)--This text refers to an out of print or unavailable edition of this title.

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