Book Description
Valuable software, realistic examples, and fascinating topics . . . everything you need to master the most widely used management science techniques using Microsoft® Excel™ is right here! Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.
Customer Reviews:
A Good Book for Finance/IT majors.......2007-09-17
This book does what it sets out to do: teach spreadsheet modeling. I'm only on the third chapter, but the author does a good job including step by step instructions on how to create winning models. The author is also very easy to understand. So if you're going to be doing optimization and modeling in your work, I highly recommend this book.
Great book, and includes @RISK.......2007-08-06
Ragsdale really makes spreadsheet modeling accessible to real-world business situations. It was a great asset to my MBA coursework. As a student, it came with a free student version of @RISK risk analysis software as well.
Good practical text.......2006-11-12
A good book for those studying decision making techniques or as a reference for managers looking to upgrade their skills
Decision analysis.......2006-11-02
Excellent book; I am considering it as a textbook for a Managerial Sciences course. The examples are clear and real increasing the interest of the students.
Good book , worth to read.......2006-02-17
This book is designated as the textbook for our master's level management modeling class. The author concerntrated on the application of Microsoft Solver to solve various of optimazation problems that we freqently faced in the real business opreations. Overall, this is good book for entry-level management modeling study.
Book Description
Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation.
This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.
Customer Reviews:
Annie Wu -- Book #2.......2007-08-10
I am a purchasing agent who buys books for my faculty, and as far as I know, this faculty member is very impressed with this book.
Excellent example of cross-disciplinary social science using theory.......2007-08-07
It's refreshing and exciting, in a quiet intellectual kind of way, to encounter a book that includes philosophy of science, music theory, Anasazi disappearance mysteries, ethnic cleansing, and an explanation of why CEOs exist. Josh has produced the book I've been wanting to read any time during the last 20 years, which have been a bit barren from the theory and modeling perspective in social science. He also makes clear the mathematical and philosophical basis of the agent-based approach, producing a baseline both for future work in the field and for competing paradigms such as systems dynamics, discrete simulations, and cellular automata (Wolfram's New Kind of Science), however incommensurable. I was particularly interested in the occasional use of probability modeling (negative exponential distributions generated through simple rules are a very interesting advance in understanding the waiting times between civil violence outbursts) and I'd love to see a deeper relationship established, say between Bayesian models of dynamic systems and agent-based models. Keep up the great work, Josh! Also, kudos to the publisher for the sheer quality of the book: excellent paper, great color plates, and priced to sell rather than as the work of art it is.
Excellent survey of the author's work.......2007-07-27
This book did a good job of introducing me to the current state of agent-based modeling. It also, perhaps inadvertently, highlighted some of the current weaknesses of the field. In particular, the models shown in each paper rarely shared common features, and there was little consistency in method.
Epstein argues persuasively that agent-based modeling is a tool, not a methodological approach, and you should no sooner expect consistent usage here than with differential calculus. That said, it was a bit disconcerting.
Also, while the goal espoused here was to use the bare minimum of constraints that retain explanatory power, I was disappointed that relevant work from other fields was often abstracted away. For example, a few models used social networks; but the networks presented were static, not dynamic, and were not built around power-law ratios. Such additional complexity may well have distracted from the main point; but it would have been nice to see at least some discussion of why the models were simplified.
Regardless, I was very pleased with the book and would highly recommend it.
A Landmark Publication.......2007-03-08
Josh Epstein's new Opus is a landmark publication in the emerging field of multiagent-based simulation of dynamic social systems. Since Josh is not only one of this still nascent (though burgeoning) field's ablest and most creative practitioners, but also among its most thoughtful critics, the reader of has two treats in store: (1) a generous, and wide-ranging, sampling of case studies (including social networks and evolution, population growth, emergence of economic classes, civil unrest, timing of retirement, the dynamics of adaptive organizations and the spread of infectious disease), and (2) a cogent "meta" discussion of what multiagent models ARE, ARE NOT and how (when their properties and limitations are *not* properly taken account of) they can easily be MISAPPLIED.
Far from suggesting that multiagent-based models are a panacea solution to all (or most) social dynamical systems, Josh's book carefully articulates the conditions for which such an approach IS (and is NOT) appropriate; an approach rarely taken by other, similar, overviews of the field. Indeed, the cogent philosophical discussion in Chapter One - alone! - in which the generativist's position is defined and put into a broader modeling/simulation context, is worth the price of admission; I have not seen a better "manifesto" of multiagent-based modeling elsewhere.
Finally, without taking away any of the inherent "beauty" (in the technical sense) of the often exaggerated concept of "emergence," Josh succeeds admirably in both defining the term, and de-mystifying it, stripping it of some of its unnecessary "quasi-mystical" baggage (at least as it is often portrayed in lay publications).
Anyone who is interested in understanding how agent models may be used to help explore the dynamics of social dynamical systems, should have this book firmly on top of their "must read" list! Josh has generously provided future generations of agent explorers their go-to source of both inspiration and ideas. Well done Josh!
Book Description
Computational science is a quickly emerging field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. However, limited educational materials exist in this field. Introduction to Computational Science fills this void with a flexible, readable textbook that assumes only a background in high school algebra and enables instructors to follow tailored pathways through the material. It is the first textbook designed specifically for an introductory course in the computational science and engineering curriculum.
The text embraces two major approaches to computational science problems: System dynamics models with their global views of major systems that change with time; and cellular automaton simulations with their local views of how individuals affect individuals. While the text is generic, an extensive author-generated Web-site contains tutorials and files in a variety of software packages to accompany the text.
- Generic software approach in the text
- Web site with tutorials and files in a variety of software packages
- Engaging examples, exercises, and projects that explore science
- Additional, substantial projects for students to develop individually or in teams
- Consistent application of the modeling process
- Quick review questions and answers
- Projects for students to develop individually or in teams
- Reference sections for most modules, as well as a glossary
- Online instructor's manual with a test bank and solutions
Book Description
From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology.
Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians.
Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.
Customer Reviews:
An excellent recent overview of modeling.......2007-06-14
This is an excellent book for students or faculty interested in learning more about the current state of the art in modeling of biological systems. The authors make a great effort to keep the mathematical sophistication at a level that students (or faculty) who primarily have a biological background will still be able to follow in some detail. They are also able to suggest some of the exciting current areas of research and new areas for the future. All in all, well worth reading if you are interested in the topic of modeling of biological systems.
Book Description
Modern aerospace vehicles, such as the space shuttle, other launch vehicles, and long-range ballistic missiles, do not discriminate between atmospheric and space flight. Most texts on flight dynamics, however, make this artificial distinction and therefore do not simultaneously cover aircraft and spacecraft. Bridging this gap in the literature,
Atmospheric and Space Flight Dynamics is a unified presentation, demonstrating that the two disciplines have actually evolved from the same set of physical principles.
Key features:
* Introduction to a broad range of modern topics in an accessible, yet mathematically rigorous presentation
* Many numerical examples and simulations utilizing MATLAB
® and Simulink
® fully integrated throughout the work
* Simulations presented—usually not found in books on the same topic—are both realistic and instructive
* Examples allow readers to easily build their own simulations for aircraft, missiles, launch vehicles, reentry vehicles, and spacecraft
* Software is used as an instructional, hands-on tool, moving away from the "cookbook" approach found in other works
* Supplementary material and MATLAB/Simulink code available at
http://home.iitk.ac.in/~ashtew/index_files/page0009.htm
* Numerous illustrations and end-of-chapter exercises
* Separate solutions manual available to instructors upon request
Primarily useful as a textbook for advanced undergraduate and beginning graduate-level students, the work is also an excellent reference or self-study guide for researchers and practitioners in aerospace engineering, aviation, mechanical engineering, dynamics, astrodynamics, aeronautics, and astronautics.
Average customer rating:
- Great book but the cover fell off due to poor binding
- Great content but poor binding
- A great preview of modeling methodology
|
Applied Groundwater Modeling
Mary P. Anderson , and
William W. Woessner
Manufacturer: Academic Press
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Introduction to Groundwater Modeling: Finite Difference and Finite Element Methods
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Hydraulics of Groundwater (Dover Books on Engineering)
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Contaminant Hydrogeology (2nd Edition)
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Groundwater
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Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty
ASIN: 0120594854 |
Book Description
Creating numerical groundwater models of field problems requires careful attention to describing the problem domain, selecting boundary conditions, assigning model parameters, and calibrating the model. This unique text describes the science and art of applying numerical models of groundwater flow and advective transport of solutes.
Key Features
* Explains how to formulate a conceptual model of a system and how to translate it into a numerical model
* Includes the application of modeling principles with special attention to the finite difference flow codes PLASM and MODFLOW, and the finite-element code AQUIFEM-1
* Covers model calibration, verification, and validation
* Discusses pathline analysis for tracking contaminants with reference to newly developed particle tracking codes
* Makes extensive use of case studies and problems
Customer Reviews:
Great book but the cover fell off due to poor binding.......2000-03-20
A great book for explaining the essentials of groundwater modeling including governing equations and statistical evaluation of numeric modeling. I just wish the publisher could produce a book that the cover didn't fall off within the first couple months of use.
Great content but poor binding.......1999-03-31
This text was used in my groundwater modeling class and was useful and instructive specifically for GMS and MODFLOW. The binding split after normal use during the quarter to almost every student enrolled in the course.
A great preview of modeling methodology.......1998-08-27
This text outlines the basic principles and problems faced by young groundwater modelers. The comprehensive interpretation of common challenges are handled with reference to real case studies. Basic steady-state groundwater modeling is supplimented with transient examples. It is a great text for any groundwater modeling class at the undergraduate or graduate level.
Average customer rating:
|
Understanding the Light Microscope: A Computer-Aided Introduction (With CD-ROM)
D. J. Goldstein
Manufacturer: Academic Press
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ASIN: 0122886607 |
Book Description
Understanding the Light Microscope consists of four original computer programs with an explanatory book. Author Dan Goldstein says using the programs can teach aspects of microscopy and diffraction often missed from formal courses, adding, "... what one non-mathematician has created should not be beyond the understanding of others!" The book aims to provide understanding at a level deeper than customary in existing texts and in a form accessible to microscope users, particularly biologists. It covers simple ray optics, the aberrations of "real" (thick) lenses, polarized light, and the influence of diffraction on imaging. The book can be read alone, but appreciation of its contents is greatly enhanced when used in conjunction with the programs.
D J Goldstein was a Nuffield Dominion Travelling Fellow at Oxford University and a visiting Professor in Pittsburgh. He taught at the Universities of the Witwatersrand (Johannesburg, South Africa) and Sheffield (UK) while publishing research in embryology, histology, immunology, histochemistry and microscopy. Since retiring in 1989 as Reader in Anatomy at Sheffield University, he has been an independent research worker in biomedical science.
Key Features
* Aids insight into microscope operation and imitations
* The approach is non-mathematical, yet in-depth
* Enables lecture time to be replaced by learning assignments
* Includes a help function for all four programs
* The programs have been tried and tested by 2nd and 3rd year biomedical undergraduates
Book Description
The advent of ever more sophisticated molecular manipulation techniques has made it clear that cellular systems are far more complex and dynamic than previously thought. At the same time, experimental techniques are providing an almost overwhelming amount of new data. It is increasingly apparent that linking molecular and cellular structure to function will require the use of new computational tools.
This book provides specific examples, across a wide range of molecular and cellular systems, of how modeling techniques can be used to explore functionally relevant molecular and cellular relationships. The modeling techniques covered are applicable to cell, developmental, structural, and mathematical biology; genetics; and computational neuroscience. The book, intended as a primer for both theoretical and experimental biologists, is organized in two parts: models of gene activity and models of interactions among gene products. Modeling examples are provided at several scales for each subject. Each chapter includes an overview of the biological system in question and extensive references to important work in the area.
Customer Reviews:
Informative, but not information I can use.......2004-05-03
Regulatory networks are central to every aspect of computational biology. Determining what they are, and what genes, proteins, and post-translational modifications interact is a major and exciting field of study.
I just didn't come away from this book with that excitement. I was hoping for more about the large-scale regulation networks, but these papers go down to the quantum mechanics of interactions between pairs of molecules. I appreciate that the exact interactions matter, and that computation is probably the only way to examine some kinds of interactions (e.g. the ones in lethal mutations). It's just not what I think of as a "network."
I was also hoping for some more specifics about the computation techniques. There were some interesting insights here. For example, I never thought about the similarities between steady state chemical equilibrium and steady state Markov model behavior before, but the formalisms have striking similarities. I was also interested in some of the information-based measures for determining how well a model represents a system. I learned that the statistical assumptions behind normal chemical "equilibrium" break down at the scale of bacteria - instead, presence or absence of individual molecules matters more. Still, those were isolated kinds of facts and never came together into a whole for me.
The range of views was worthwhile. On the whole, though, the models all seemed very low-level to me, probably not well suited to handling more than a few dozen interactions, and the computation specifics were not always explicit. I'm still looking for a book with more information that I can apply directly.
Excellent survey of the field.......2001-08-04
An excellent survey for anyone contemplating doing research in this area. The authors make a special effort to identify the open research problems, what has been done to date and what there is very little of. This book will bridge the gap for anyone with a background in Molecular Biology that wants to build computer models for cellular and genetic activities. It is especially focused on gene regulation, but also covers other modeling areas such as diffusion. In reading this book, you will appreciatge both the good start this field is off to, but also the long way to go before a complete cell can be modeled. A great area to do pioneering work.
it's about time!!!.......2001-04-03
For many years, biologists have been accumulating descriptions of biological "parts" with an almost complete lack of a framework for understanding how those parts might really work together. This book represents the first and so far only example I have seen of an effort to describe modeling techniques that are right now being developed to construct such a framework. There are other books on "computational biology", but most of them are focused only on measuring and comparing different strands of molecules -- this book describes how computational techniques are starting to be applied to actually trying to understand how those molecules work together to generate life. On the outside jacket of the book, Bruce Alberts, President of the National Academy of Science, AND the guy whose book on molecular biology I had to buy for a lot of money when I was in college, describes the authors of this book as being "Brave". I would say it is an introduction to a "Brave New World". This has to be where biology is going -- Each of the chapters are written by different people, and as such there is some variation in readability. I also wish that the color illustrations were part of the chapter they refer to instead of being grouped in the middle. But most of the chapters start with enough of an overview to be understandable to anyone with a decent background in biology. And WOW -- biology is going to get much more exciting!! Oh one other thing -- the art on the inside of the jacket is wonderful - especially in contrast to the black cover with its standard diagram of metabolism -- I wonder if there is a message there :-) .
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