12/31/2011

Textbook of Computable General Equilibrium Modeling: Programming and Simulations Review

Textbook of Computable General Equilibrium Modeling: Programming and Simulations
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This is the best CGE book on the market. The book explains CGE modeling in a clear, A-Z approach. The author also does an excellent job connecting economic theory to empirical applications of GAMS. I will use this book as my seminal CGE reference and will also use this book for my graduate CGE course. Kudos to the authors for writing such a clear, rigorous, and useful textbook. I wish all textbooks in economics were this useful!!

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Computable General Equilibrium (CGE) models have been widely used for various economic simulations, such as, trade liberalization, environmental problems, and regulatory and tax reforms. CGE models are powerful but tend to be large-scale and, therefore, often difficult to learn. This book provides a comprehensive A-to-Z guide for CGE models. Focusing on its practical application, readers can learn from the simplest CGE models, and proceed, in a step-by-step manner, to database construction, programming for computation, and developing more elaborated CGE models, which can be applied empirically to actual simulation purposes. Particular emphasis is placed on computer programs of CGE models. Readers can obtain knowledge and skills from which they can develop and operate their own CGE models, and apply them to their research. This book is essential reading for all interested in computational economics, advanced macroeconomics, international trade, regional development, development economics.

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Geometric Modeling Review

Geometric Modeling
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This book is a definitive introduction to geometric modeling. However, the sections on solid modeling and surface-surface intersection are lacking in depth. A serious reader may consider consulting books by Farin and Piegl for Geometric modeling and Hoffman/Mantyla for solid modeling.

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Describes and compares all the important mathematical methods for modeling curves, surfaces, and solids.Prepares the reader for more advanced topics, such as 3D modeling, CAD/CAM, animation, and scientific visualization.Incorporates references throughout the text to direct the reader to more specialized treatments of the subjects.Carefully designed illustrations and exercises support each mathematical concept presented.Offers hundreds of exercises to test the readers comprehension.


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12/30/2011

Financial Modeling Under Non-Gaussian Distributions (Springer Finance) Review

Financial Modeling Under Non-Gaussian Distributions (Springer Finance)
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This book is an outstanding a clear presentation of non-Gaussian financial modeling. In financial markets, the Gaussian curve or bell curve, is not accurate in that most markets are skewed (a predisposition to grow on average, not zero) and fat-tailed (rare events such as market crashes happen more often than a Gaussian curve would suggest). Therefore, non-Gaussian modeling is essential to make money in the market or assess risk. This book goes through all the new techniques of non-Gaussian modeling. It does an exceptional job discussing the GARCH generalized autoregressive conditional heteroskedasticity. This is but a fancy word for fluctuations in volatility over time pretty much dependent on recent fluctuations. It works very well I must say empirically, and has tripled the rationality and profitability of my portfolio - especially one of the versions of the GARCH over the others reviewed - but which one I'd rather not say, for obvious reasons ;) The book is weakest at page 183 or so, with the models and I was rather disappointed with the exclusion of the market crash of the 80s in the empirical analysis - wouldn't rare events be the main reason for improving non-Gaussian modeling? Anyway it's rather poor, but thorough, with additive and multivariate GARCHes but the fault lies with the faultiness of the theories not the authors, at least they're encyclopedic. The book picks up at the end with copulas, and a complete discussion of non-Gaussian option pricing. The review of BSM is appreciated and actually well-done, and a nice reminder of what we are trying to improve on exactly. I think this is a most incredible book, very clearly written, and at times, quite an enjoyable read for such a topic. All it takes is multivariate calculus and basic statistics, but more math ability will make the implications and comments breathtaking at times. I often find myself inspired by a passage or footnote to create a whole subroutine in R or python. I think avoiding Bayesian topics and Monte Carlo was disappointing, but wise in terms of focus. A great book for graduate mathematics in applications of statistics or stochastic calculus, or a good book for modeling fundamentals in economics or business management at the post-graduate level.


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This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.

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Introduction to Solid Modeling Using SolidWorks 2009 (The Mcgraw-Hill Graphics Series) Review

Introduction to Solid Modeling Using SolidWorks 2009 (The Mcgraw-Hill Graphics Series)
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Disclosure: I know Dr. Howard and have met Dr. Musto. I have taught courses using this text.
This is an excellent resource for beginners learning SolidWorks. It is not a comprehensive reference. The text takes a step-by-step approach which would be boring for experienced users.
The text covers the major techniques clearly. It efficiently guides readers to and through the key difficulties experienced by beginners, with simple, straightforward examples. Not only is good advice offered, but it is explained sufficiently for beginners to recognize it as good advice, and remember it.
I consider the text a superb resource for readers who are learning engineering design and analysis concurrently with solid modeling.
I consider the text a good resource for skilled analysts from other fields who desire to learn SolidWorks in order to apply it and accomplish project goals. Such users may find the pace too slow, but this text will guide them to basic proficiency faster than a comprehensive text. Working through the text is likely to save such users at least as much time and frustration as it consumes.
The text is not a suitable resource for designers experienced with other solid modeling tools desiring to learn SolidWorks. The pace is too slow for such users, and it does not take guide them to "Wizard" level proficiency.

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This text presents solid modeling not just as a communication tool, but as an essential part of the design process. To this end, the text explores design intent, the use of solid models in engineering analysis, and introduces techniques from manufacturing such as mold design and sheet metal patterning. Howard and Musto provide a student-friendly presentation filled with easy to use tutorials. Their approach is also designed to help students understand how engineering is used in the real world. For instance, modeling exercises are largely centered on examples drawn from industrial applications. FREE Solid Works software is now available to students with an access card, so students can apply exactly what they are reading! Introduction to Solid Modeling Using SolidWorks® 2009 presents "keystroke-level" tutorials, providing users new to the SolidWorks® program with all the detail they need to become confident using the software.Topics are illustrated and infused with examples from the real world such as flanges, brackets, helical springs, and more.Additionally, this easy-to-use guide has modular chapters allowing for flexible organization of a course or self-study.

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12/29/2011

Risk Modeling for Determining Value and Decision Making Review

Risk Modeling for Determining Value and Decision Making
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Great text if you have the basic knowledge of decision tecnology. I suggest the another glen's book for an introduction and this one for a further reading.
Excellent book. Practical.

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Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a follow-up to the author's bestselling Risk Assessment and Decision Making in Business and Industry: A Practical Guide, Risk Modeling for Determining Value and Decision Making presents comprehensive examples of risk/uncertainty analyses from a broad range of applications. Decision/option selection ManufacturingEnvironmental assessmentPricingIdentification of business drivers Production sharingInsurance Scheduling and optimizationInvesting SecurityLawEmphasizing value as the focus of risk assessment, this book offers discussions on how to make decisions using each risk model and what insights the model can provide. The presentation of each model also includes computer code that encapsulates its logic and direction on how to apply the model to other types of problems.The author devotes a chapter to techniques for consistently collecting data in an inconsistent world and offers another chapter on how to reflect the effect of "soft" issues in the value of an opportunity. The book's final chapters delineate the techniques and technologies used to perform risk/uncertainty analyses, including sections on distribution, Monte Carlo process, dependence, sensitivity analysis, time series analysis, and chance of failure.Visit RiskSupport.com for more information!

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Mathematical Modeling and Simulation: Introduction for Scientists and Engineers Review

Mathematical Modeling and Simulation: Introduction for Scientists and Engineers
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This is a good an interesting book. I particularly like the author's focus on the basic concepts and philosophy of modelling as well as the use of open source software as Maxima. The book is clearly intended for beginners, like students at early university courses. I have only two negative comments on this book. One is that there is no chapter or section on dimensional analysis and scaling. The second, and more important is the high price, which is a hinder to the supposed intended audience.

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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra—all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical and process engineering, which are subsequently discussed in detail.
Based on the author's modeling and simulation experience in science and engineering and as a consultant, the book answers such basic questions as: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation?

The book relies exclusively upon open-source software which is available to everybody free of charge. The entire book software—including 3D CFD and structural mechanics simulation software—can be used based on a free CAELinux-Live-DVD that is available in the Internet (works on most machines and operating systems).

„...Very solid introductory text at the undergraduate level aimed at wide audience. Perfectly fits introductory modeling courses at colleges and universities that prefer to use opensource software rather than commercial one, and is an enjoyable reading in the first place. Highly recommended both as a main text and a supplementary one..."Yuri V. Rogovchenko (University of Kalmar, Sweden) in: Zentralblatt MATH (European Mathematical Society)




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12/28/2011

Antenna and EM Modeling with Matlab Review

Antenna and EM Modeling with Matlab
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The book is well written but not very extensive. It points to the applications right from the beggining and it is certainly of great value for students and engineers already engagged with Balanis Book on antenna theory. I strongly recommend Makarov's book for training students with a strong numerical methods background on electromagnetics, as a prerequisite before taking the course.

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An accessible and practical tool for effective antenna designDue to the rapid development of wireless communications, the modeling of radiation and scattering is becoming more important in the design of antennas. Consequently, it is increasingly important for antenna designers and students of antenna design to have a comprehensive simulation tool.Sergey Makarov's text utilizes the widely used Matlab(r) software, which offers a more flexible and affordable alternative to other antenna and electromagnetic modeling tools currently available. After providing the basic background in electromagnetic theory necessary to utilize the software, the author describes the benefits and many practical uses of the Matlab package. The text demonstrates how Matlab solves basic radiation/scattering antenna problems in structures that range from simple dipoles to patch antennas and patch antenna arrays. Specialized antenna types like fractal antennas and frequency selective surfaces are considered as well. Finally, the text introduces Matlab applications to more advanced problems such as broadband and loaded antennas, UWB pulse antennas, and microstrip antenna arrays.For students and professionals in the field of antenna design, Antenna and EM Modeling with Matlab:* Strikes an important balance between text and programming manual* Provides numerous examples on how to calculate important antenna/target parameters* Provides means for modifying existing codes for various individual projects* Includes a CD-ROM with Matlab codes and antenna geometry files
The present MATLAB codes are only supported by MATLAB 5 and 6 (up to 2004).

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Modeling the Figure In Clay: A Sculptor's Guide to Anatomy Review

Modeling the Figure In Clay: A Sculptor's Guide to Anatomy
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I love this book. Modeling the Figure In Clay: A Sculptor's Guide to Anatomy was listed as recommended reading for a sculpting class I took in college and I bought it out of curiostiy. I am at a beginner's level in sculpting and I found this book easy to understand. For anyone who learns by sight and needs clear pictures on the entire process beginning to end; Modeling the Figure In Clay: A Sculptor's Guide to Anatomy is an absolute must have.

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Master sculptor Bruno Lucchesi invites you on a guided tour of the human form. Follow him as he creates a figure in clay—literally from the inside out—starting with the skeleton, laying on the muslces to show male and female anatomy, and finishing with a complete figure sculpture with every detail of face and hair carefully modeled.

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12/27/2011

UML Distilled: Applying the Standard Object Modeling Language Review

UML Distilled: Applying the Standard Object Modeling Language
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Short and to the point. A good working guide if you know OO programming. Examples are clear but not too detailed. If you are into the high ceremony, fill out every form, type of design documentation this book won't be detailed enough for you. If you are a working programmer who wants good ways to think about and communicate your software designs - this is the book for you.
In our company we give it to all programmers we hire as an introduction to the design documentation techniques used within the company.

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Numerical Modeling of Water Waves Review

Numerical Modeling of Water Waves
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The second edition of the book entitled Numerical Modeling of Water Waves is a well-written, comprehensive treatise of the evolving science of computer modeling of waves. In a very skillful and methodical manner, the Dr. Charles Mader provides new insights on the subject and updates the reader with what is being done with state-of-the-art, high-performance computers which allow for the adaptation of new codes that can result in even more accurate simulations of waves generated from a variety of source mechanisms - whether generated by earthquakes, landslides, explosions, or the impact of asteroids. The book is an outstanding work of scholarship and a valuable reference for any researcher involved or interested in the numerical modeling of waves.

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Numerical Modeling of Water Waves, Second Edition covers all aspects of this subject, from the basic fluid dynamics and the simplest models to the latest and most complex, including the first-ever description of techniques for modeling wave generation by explosions, projectile impacts, asteroids, and impact landslides. The book comes packaged with a CD-ROM that contains the computer codes and movies generated by the author and his colleagues at the Los Alamos National Laboratory. Mader's three-pronged approach--through text, computer programs, and animations--imparts a thorough understanding of new computational methods and provides the tools to put those methods to effective use.

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12/26/2011

Basic Wax Modeling: An Adventure in Creativity Review

Basic Wax Modeling: An Adventure in Creativity
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This books covers a wide range of projects (not just rings, as some of the books do). Each project has step-by-step photographs and great detail. The instruction is clear and easy to understand. I highly recommend it whether you are just starting to work with wax, or an expert.

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This 106-page book by the Japanese authoruty on JewelryWax Modeling is the perfect learning tool for one who wants to learnthe lost art of original wax mold creation. This book is 106 pages andhas 283 photos and illustrations. The simple texts and detailedillustrations will instruct students in many activities including thefollowing jewelry pieces: High Domed Rings, Ripple Patterned Rings,Signet Rings, Box Type Rings, Carved Flat Band Rings, Pendants,Brooches, and many others.

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Biological Modeling and Simulation: A Survey of Practical Models, Algorithms, and Numerical Methods (Computational Molecular Biology) Review

Biological Modeling and Simulation: A Survey of Practical Models, Algorithms, and Numerical Methods (Computational Molecular Biology)
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If you want to have working knowledge (with theoretical background) but do not have much time to take all related classes, then this book should be a good place to start. Exposition of concepts is akin to real biological problems. Many pseudo-codes are directly implementable within one or two hours. I recommend this especially for those who are not familiar with scientific programming since it teaches how to approach scientific problems. Although the book is meant to summarize related methods but each section covers enough details with clear explanation.

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A practice-oriented survey of techniques for computational modeling andsimulation suitable for a broad range of biological problems.

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12/25/2011

Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange Review

Modeling and Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
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It is often the case that a new area of inquiry, comprised of elements from seemingly disparate disciplines, yields surprising insights. Zeigler's and Hammonds's effort is no exception. While linguistics has from time to time informed mathematics and computer science, to my knowledge little has been done to date towards the application of semantics and pragmatics to this type of data exchange.
The prose is concise, clear, and conversational. Given the complexity of the two topics and the more or less mutual exclusivity of their lexicons, readers whose experience has been acquired only in the one or the other of these two disciplines will nevertheless quickly become comfortable in this discussion. The authors provide many examples to illustrate their line of reasoning, all drawn from a wide variety of sources.
As an IT professional with 15 years' experience and an advanced degree in a foreign language, I found this book satisfying, illuminating, and provocative. While it is intended to address a specific engineering problem, its implications extend well beyond its stated purview. Heartily recommended for those who would like to think about the synergies of data engineering and pragmatics, and also for those who want to think about what might be beyond the horizon.

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Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the US Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric Global Information Grid. This book provides the first practical approach to data engineering and modeling, which supports interoperabililty with consumers of the data in a service- oriented architectures (SOAs). Although XML (eXtensible Modeling Language) is the lingua franca for such interoperability, it is not sufficient on its own. The approach in this book addresses critical objectives such as creating a single representation for multiple applications, designing models capable of supporting dynamic processes, and harmonizing legacy data models for web-based co-existence. The approach is based on the System Entity Structure (SES) which is a well-defined structure, methodology, and practical tool with all of the functionality of UML (Unified Modeling Language) and few of the drawbacks. The SES originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of XML dtds and schemas, composition and decomposition of large data models, and analysis of commonality among structures.Zeigler and Hammond include a range of features to benefit their readers. Natural language, graphical and XML forms of SES specification are employed to allow mapping of legacy meta-data. Real world examples and case studies provide insight into data engineering and test evaluation in various application domains. Comparative information is provided on concepts of ontologies, modeling and simulation, introductory linguistic background, and support options enable programmers to work with advanced tools in the area. The website of the Arizona Center for Integrative Modeling and Simulation, co-founded by Zeigler in 2001, provides links to downloadable software to accompany the book. * The only practical guide to integrating XML and web services in data engineering* Introduces linguistic levels of interoperability for effective information exchange* Covers the interoperability standards mandated by national and international agencies * Complements Zeigler's classic THEORY OF MODELING AND SIMULATION

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Hydrogeology and Groundwater Modeling, Second Edition Review

Hydrogeology and Groundwater Modeling, Second Edition
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The author has made a great effort of presenting the subject matter in an easy to understand and read format. The text covers basic laboratory determination of hydrogeological paratmers to complex calculations and modeling. This book is great because there have been times when I have been working on a problem (effective poristy, density and saturation) and have been able to find an example of it in this book. The text covers one dimensional steady state flow, transient flow, flow nets etc.. Cooper Jacob method, drawdown, well efficiency and numeric groundwater flow modeling. I highly recommend this book. Full of alot of great information and examples/problem sets.

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Coupling the basics of hygrogeology with analytical and numerical modeling methods, Hydrogeology and Groundwater Modeling, Second Edition provides detailed coverage of both theory and practice. Written by a leading hydrogeologist who has consulted for industry and environmental agencies and taught at major universities around the world, this unique book fills a gap in the groundwater hydrogeology literature. With more than 40 real-world examples, the book is a source for clear, easy-to-understand, and step-by-step quantitative groundwater evaluation and contaminant fate and transport analysis, from basic laboratory determination to complex analytical calculations and computer modeling. It provides more than 400 drawings, graphs, and photographs, and a variety of useful tables of all key groundwater parameters, as well as lucid, straightforward answers to common hydrogeological problems.Reflecting nearly ten years of new scholarship since the publication of the bestselling first edition, this second edition is wider in focus with added and updated examples, figures, and problems, yet still provides information in the author's trademark, user-friendly style. No other book offers such carefully selected examples and clear, elegantly explained solutions. The inclusion of step-by-step solutions to real problems builds a knowledge base for understanding and solving groundwater issues.

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12/24/2011

Strategic Job Modeling: Working at the Core of Integrated Human Resources Review

Strategic Job Modeling: Working at the Core of Integrated Human Resources
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A colleague, Tom Stetz, gave me an extra copy of this book ten years ago when it first came out. It was useful then and has continued to be a helpful resource through the years. I recommend picking up a copy if you conduct job analyses in large organizations--or even in large chaotic groups of people, like Federal agencies, that may seem insufficiently structured to qualify as "organizations."
Jeffery Schippmann acknowledges the roots of job analysis in our industrial past and shows how this has lead to a "mass production" mentality in describing jobs. He argues that "Strategic Job Modeling" (SJM) is a necessary evolution for organizations that take a strategic, future-oriented view of the work that will be required of their employees. SJM is less bound by description of existing jobs and more focused on creating new models for jobs under conditions of changing workplace demand.
Shippmann defines the basic concepts of SJM, and then lays out the framework for gathering data using this approach. The first steps involve understanding the organization's strategic plans and the various HR functions that job modeling data will serve. Job modelers must then understand the target population that will be performing newly designed jobs and the existing sources of information about their skills and future jobs. Having thoroughly discussed the organizational context, the author then presents more-or-less standard methods for gathering and analyzing information about the tasks workers perform. This information is well-organized and readable. It is useful to readers conducting traditional job analysis as well as anyone venturing into SJM.
The book closes with enthusiastic predictions about the future of SJM--and two very useful appendices full of sample job models and overviews of common statistical techniques. They are helpful to anyone planning a job analysis. This book presents a good overview of the job modeling process and each chapter is well-referenced to aid further reading.

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(USE FOR PRACTITIONER/BUSINESS PIECES) In an increasingly knowledge-based economy, a company's success hinges on the quality of its people. People set strategy, make decisions, build relationships, and drive change. Businesses possess a powerful advantage if their people do their jobs better and faster than the competition. The need for more sophisticated, integrated, and strategically linked human resource applications (e.g., selection systems, training programs, and performance management interventions) is recasting the very role of HR. One of the critical tools in the HR professionals' toolkit that has been used to create these applications is job analysis. However, much of today's job analysis practice has failed to keep up with the evolutionary pace. This book is about a "next generation" job analysis method that involves translating business strategies into work performance and competency requirements, and using this information and data to create an architecture that can be used to support the sophisticated HR applications and enterprise resource planning systems that will be a part of high-performance third millennium organizations. Numerous case studies, applied examples, and project management tips contribute to the practice-oriented design of the book to illustrate a personnel research activity that is essentially an ongoing organizational development intervention. (USE THIS COPY FOR TEXTBOOK PIECES) The business landscape is changing and becoming more complex. Furthermore, human resources is at the vortex of much of what is changing. The need for more sophisticated, integrated, and strategically linked human resource applications (e.g., selection systems, training programs, and performance management interventions) is recasting the very role of HR. One of the critical tools in the HR professionals' toolkit that has been used to create these applications is job analysis. However, much of today's job analysis practice has failed to keep up with the evolutionary pace. This book is about a "next generation" job analysis method that involves translating business strategies into work performance and competency requirements, and using this information and data to create an architecture that can be used to support the sophisticated HR applications and enterprise resource planning systems that will be a part of high-performance third millennium organizations. Numerous case studies, applied examples, and project management tips contribute to the practice-oriented design of the book to illustrate a personnel research activity that is essentially an ongoing organizational development intervention.

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SystemVerilog for Design Second Edition: A Guide to Using SystemVerilog for Hardware Design and Modeling Review

SystemVerilog for Design Second Edition: A Guide to Using SystemVerilog for Hardware Design and Modeling
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(My review is about the 2006 2nd-edition, not the older 1st edition!)
In general, I agree with the other reviews. This book is written for an audience of Verilog designers, who know the Verilog language (and its limitations) all to well. The book covers Systemverilog's new features like, enum, struct, interfaces, etc., from the perspective of "how to write better RTL-code using Systemverilog instead of Verilog.' For example, it explains the pros/cons of the (Systemverilog) "interface" construct, vs a flat group of (Verilog) module-port declarations. The discussion helps designers appreciate RTL-coding from a (slightly) higher levle of abstraction.
You don't need a specific background (i.e. design-engineer) to benefit from this book; you just need a good familiarity with conventional Verilog.
As others have said, this book is not suitable as a reference. The paragraphs flow well, but it's hard to lookup an arbitrary topic from the index. So far, no hardcover-book can displace the official IEEE Systemverilog LRM as the best reference.
And since the book focuses on the 'design' (synthesizeable) aspect of Systemverilog, it doesn't cover non-synthesizeable language features (like classes, constrained random variables, etc.)

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In its updated second edition, this book has been extensively revised on a chapter by chapter basis. The book accurately reflects the syntax and semantic changes to the SystemVerilog language standard, making it an essential reference for systems professionals who need the latest version information. In addition, the second edition features a new chapter explaining the SystemVerilog "packages", a new appendix that summarizes the synthesis guidelines presented throughout the book, and all of the code examples have been updated to the final syntax and rerun using the latest version of the Synopsys, Mentor, and Cadance tools.

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12/23/2011

Planning Scenery for Your Model Railroad: How to Use Nature for Modeling Realism (Model Railroader) Review

Planning Scenery for Your Model Railroad: How to Use Nature for Modeling Realism (Model Railroader)
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I bought this book for my husband for Christmas; it was exactly what he was looking for to help in planning his model railroad. He's been building model buildings for years, and this will help him decide on the placement of these structures on a layout and how to build the layout itself. He's a real perfectionist and wants to make sure that the scenery looks as realistic as possible.

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Fourth in the Realistic Model Railroading series by the same author, this volume shows modelers how to turn to the real thing natural land forms, crops, forests, water features, and even the seasons, to get better results on their model railroad layouts. What are the critical and model-able differences between the Rockies and the Appalachian Mountains, for example, and what resources can help modelers achieve a natural-looking scene from each area? These big ideas are supported by modeling projects as examples of incorporating realistic natural effects including rock strata, water forms, field crops, and space-saving industries.

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