| Revit Architecture 2010: No Experience Required Posted: 19 Jul 2009 11:26 PM PDT  Revit Architecture 2010: No Experience Required Product Description
Author and Revit Architecture expert Eric Wing walks you through designing, documenting, and presenting a four-story office building. The continuous tutorial begins with the Revit interface and standard conventions for placing walls, doors, and windows, then progresses through the buildings design as would happen in the real world. Youll learn how to work with structural grids, beams, and foundations; add text and dimensions; build floors layer by layer; join exterior and interior walls; and create roofs and ceilings as well as stairs, ramps, and railings. Youll also be introduced to using embedded families and formulas, crucial site considerations, and importing and exporting to various formats. download  |
| Innovations in Design & Decision Support Systems in Architecture and Urban Planning Posted: 19 Jul 2009 11:23 PM PDT  Innovations in Design & Decision Support Systems in Architecture and Urban Planning Product Description
Traditionally, the DDSS conferences aim to be a platform for both starting and experienced researchers who focus on the development and application of computer support in the areas of urban planning and architectural design. This results in an interesting mix of well-established research projects and first explorations. It also leads to a very valuable cross-over of theories, methods, and technologies for support systems in the two different areas, architecture and urban planning. This volume contains 31 peer reviewed papers from this year’s conference that are organised into seven sections: Land Use Simulation and Visualisation, Multi-Agent Models for Movement Simulation, Multi-Agent Models for Urban Development, Managing and Deploying Design Knowledge, Urban Decision-Making, Design Interactivity and Design Automation, and Virtual Environments and Augmented Reality. This book will bring researchers together and is a valuable resource for their continuous joint effort to improve the design and planning of our environment. download  |
| User Mode Linux(R) (Bruce Perens’ Open Source Series) Posted: 19 Jul 2009 11:21 PM PDT  User Mode Linux(R) (Bruce Perens' Open Source Series) Product Description
With User Mode Linux you can create virtual Linux machines within a Linux computer and use them to safely test and debug applications, network services, and even kernels. You can try out new distributions, experiment with buggy software, and even test security. Now, for the first time, the creator and maintainer of User Mode Linux shows how to put it to work hands-on. Jeff Dike covers everything from getting started through running enterprise-class User Mode Linux servers. You’ll find authoritative advice on bootup, compilation, administration, specialized configurations, and much more.Coverage includes *What User Mode Linux is, how it works, and its uses in Linux networks *Key applications, including server consolidation, development, and disaster recovery *Booting and exploration: logins, consoles, swap space, partitioned disks, and more *Copy-On-Write (COW): UML’s efficient approach to storing filesystem changes *In-depth discussion of User Mode Linux networking and security *Centrally managing User Mode Linux instances, and controlling their hardware resources *Implementing clusters and other specialized configurations *Setting up User Mode Linux servers, step-by-step: small-scale and large-scale examples *The future of virtualization and User Mode Linux Whether you’re a netadmin, sysadmin, teacher, student, or programmer, User Mode Linux(R)–the technology and this book–is indispensable. download  |
| Sampling Algorithms (Springer Series in Statistics) Posted: 19 Jul 2009 11:19 PM PDT  Sampling Algorithms (Springer Series in Statistics) Product Description
Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.
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| Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics) Posted: 19 Jul 2009 11:14 PM PDT  Time Series Analysis and Its Applications: With R Examples Product Description
Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using non-trivial data illustrate solutions to problems such as evaluating pain perception experiments using magnetic resonance imaging or monitoring a nuclear test ban treaty. The book is designed to be useful as a text for graduate level students in the physical, biological and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. Material from the earlier 1988 Prentice-Hall text Applied Statistical Time Series Analysis has been updated by adding modern developments involving categorical time sries analysis and the spectral envelope, multivariate spectral methods, long memory series, nonlinear models, longitudinal data analysis, resampling techniques, ARCH models, stochastic volatility, wavelets and Monte Carlo Markov chain integration methods. These add to a classical coverage of time series regression, univariate and multivariate ARIMA models, spectral analysis and state-space models. The book is complemented by ofering accessibility, via the World Wide Web, to the data and an exploratory time series analysis program ASTSA for Windows that can be downloaded as Freeware. Robert H. Shumway is Professor of Statistics at the University of California, Davis. He is a Fellow of the American Statistical Association and a member of the Inernational Statistical Institute. He won the 1986 American Statistical Association Award for Outstanding Statistical Application and the 1992 Communicable Diseases Center Statistics Award; both awards were for joint papers on time series applications. He is the author of a previous 1988 Prentice-Hall text on applied time series analysis and is currenlty a Departmental Editor for the Journal of Forecasting. David S. Stoffer is Professor of Statistics at the University of Pittsburgh. He has made seminal contributions to the analysis of categorical time series and won the 1989 American Statistical Association Award for Outstanding Statistical Application in a joint paper analyzing categorical time series arising in infant sleep-state cycling. He is currently an Associate Editor of the Journal of Forecasting and has served as an Associate Editor for the Journal fo the American Statistical Association. download  |
