Beginning Blender covers the Blender 2.5 release in-depth. The book starts with the creation of simple figures using basic modeling and sculpting. It then teaches you how to bridge from modeling to animation, and from scene setup to texture creation and rendering, lighting, rigging, and ultimately, full animation. You will create and mix your own movie scenes, and you will even learn the basics of games logic and how to deal with games physics.
Inventor design philosophy, data and projects, sketch techniques, basic modeling techniques, advanced modeling techniques, sheet metal, part and feature reuse, assembly-design,... As the main contents of the document "Large Assembly StrategiesMastering Autodesk® Inventor® 2012 and Autodesk® Inventor LT™ 2012". Invite you to consult.
We present a generative distributional model for the unsupervised induction of natural language syntax which explicitly models constituent yields and contexts. Parameter search with EM produces higher quality analyses than previously exhibited by unsupervised systems, giving the best published unsupervised parsing results on the ATIS corpus. Experiments on Penn treebank sentences of comparable length show an even higher F1 of 71% on nontrivial brackets. We compare distributionally induced and actual part-of-speech tags as input data, and examine extensions to the basic model.
After providing the basic background in electromagnetic theory necessary to utilize the software, the author of Ebook Antenna and EM Modeling with Matlab describes the benefits and many practical uses of the Matlab. 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.
It was at an art workshop organized by ConceptArt.org (a forumthat promotes, develops, and showcases concept art for illustra-tion, lm, and game production), when I saw artists like AndrewJones demonstrate the amazing ability to create lifelike charac-ters straight from their imaginations, that I began to question mylack of traditional art training.
Every student of finance or applied economics learns the lessons of Franco Modigliani and Merton Miller. Their landmark paper, published in 1958, laid out the basic underpinnings of modern finance and these two distinguished academics were both subsequently awarded the Nobel Prize in Economics. Simply stated, companies create value when they generate returns that exceed their costs. More specifically, the returns of successful companies will exceed the risk-adjusted cost of the capital used to run the business.
This book aims to give a complete and self-contained presentation of semi-
Markov models with finitely many states, in view of solving real life problems of
risk management in three main fields: Finance, Insurance and Reliability
providing a useful complement to our first book (Janssen and Manca (2006))
which gives a theoretical presentation of semi-Markov theory. However, to help
assure the book is self-contained, the first three chapters provide a summary of
the basic tools on semi-Markov theory that the reader will need to understand our
Analog Behavioral Modeling With The Verilog-A Language provides the IC designer with an introduction to the methodologies and uses of analog behavioral modeling with the Verilog-A language. In doing so, an overview of Verilog-A language constructs as well as applications using the language are presented. In addition, the book is accompanied by the Verilog-A Explorer IDE (Integrated Development Environment), a limited capability Verilog-A enhanced SPICE simulator for further learning and experimentation with the Verilog-A language.
Background and Basic Ideas explains the fundamentals of using
a system approach as a more advanced approach to teaching
chemical engineering. It also discusses very briefly how this
approach allows compacting the contents of many chemical engineering
subjects and relates them with one another in a systematic
and easy-to-learn manner.
The primary duties of the transport layer, Layer 4 of the OSI model, are to transport and regulate the flow of information from the source to the destination, reliably and accurately. End-to-end control and reliability are provided by sliding windows, sequencing numbers, and acknowledgments
To understand reliability and flow control, think of someone who studies a foreign language for one year and then they visit the country where that language is used.
The first draft of these notes was born in the winter of 2002. At that time, I
was a visiting scholar at the University of Waterloo. Originally, those notes
were not intended as a book, but as a quick reference for not forgetting the
models I was implementing for my research. After eight years, I am with
Universidad de Castilla-La Mancha. During these years, the notes have been
growing up little by little, ceaselessly. During the summer of 2009, I have
reorganized the notes in the present book.
objective or subjective, when making decisions under uncertainty. This is especially true
when the consequences of the decisions can have a significant impact, financial or
otherwise. Most of us make everyday personal decisions this way, using an intuitive process
based on our experience and subjective judgments.
Mainstream statistical analysis, however, seeks objectivity by generally restricting the
information used in an analysis to that obtained from a current set of clearly relevant data.
Given a collection of records (training set )
Each record contains a set of attributes, one of the attributes is the class.
Find a model for class attribute as a function of the values of other attributes.
Goal: previously unseen records should be assigned a class as accurately as possible.
A test set is used to determine the accuracy of the model. Usually, the given data set is divided into training and test sets, with training set used to build the model and test set used to validate it.
The book deals with the MOS Field Effect Transistor (MOSFET) models that are derived from basic semiconductor theory. Various models are developed, ranging from simple to more sophisticated models that take into account new physical effects observed in submicron transistors used in today's (1993) MOS VLSI technology. The assumptions used to arrive at the models are emphasized so that the accuracy of the models in describing the device characteristics are clearly understood. Due to the importance of designing reliable circuits, device reliability models are also covered.
MSC.ADAMS Full Simulation Package is a powerful modeling andsimulating environment that lets you build, simulate, refine, and ultimatelyoptimize any mechanical system, from automobiles and trains to VCRs and backhoes.
Visual Basic 2005, together with the .NET Framework, provides a wonderfully powerful development
environment. With these tools, developers can build amazingly powerful applications relatively quickly
With this power, however, comes great complexity. Many books are available that discuss the Visual
Basic language, and if you need to build a relatively simple application, those are generally sufficient.
No books, however, address the complex issues that surround the development of more complicated
Visual Basic applications.
It has been a privilege to watch the growth of RNA interference technology over
the last ten years. Starting with a mixture of curiosity and chagrin, the field has
grown into a substantial enterprise which impacts (and utilizes resources from)
virtually every field of biomedical research. Research in RNAi derives from a set of
apparently unconnected observations: strange pigment patterns in plants, unexpected
failures and successes in antisense and overexpression studies, small regulatory
RNAs in bacteria.
We describe a simple variant of the interpolated Markov model with non-emitting state transitions and prove that it is strictly more powerful than any Markov model. Empirical results demonstrate that the non-emitting model outperforms the interpolated model on the Brown corpus and on the Wall Street Journal under a wide range of experimental conditions. The nonemitting model is also much less prone to overtraining. The remainder of our article consists of four sections.
Mathematical modelling is the process of formulating an abstract model
in terms of mathematical language to describe the complex behaviour of
a real system. Mathematical models are quantitative models and often
expressed in terms of ordinary differential equations and partial differential
equations. Mathematical models can also be statistical models,
fuzzy logic models and empirical relationships. In fact, any model description
using mathematical language can be called a mathematical
This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together.After an introduction to programming concepts, the book presents both well-known and lesser-known computation models ("programming paradigms"). ...