Название: Beginning JSF™ 2 APIs and JBoss® Seam
Автор: Kent Ka Iok Tong
Издательство: Apress
Год: 2009
Формат: PDF
Страниц: 300
Для сайта: vtome.ru
Размер: 8 Mb
Язык: English

The Enterprise Java™ platform, Java EE 6, has gotten a facelift … JavaServer™ Faces (JSF™) 2, is a big part of what's new in Java EE 6! JSF 2, a significant upgrade from JSF 1.2, includes Facelets and integration/use options with a variety of web frameworks, including the popular JBoss® Seam and even the Spring Framework.
Beginning JSF™ 2 APIs and JBoss® Seam gets you up to speed with the JSF 2.x API features and how they're implemented using the latest Seam web framework. This quick–start tutorial is the fastest way to get started on JSF 2, Facelets, and Seam, and with it you'll take the most useful features in the frameworks and apply them using best practices.
You'll learn to create and enhance an eShop using practical methods, and can re-purpose the template for your own personal and professional projects.

Название: Beginning Kinect Programming with the Microsoft Kinect SDK
Автор: Jarrett Webb, James Ashley
Издательство: Apress
Год: 2012
Формат: PDF
Страниц: 324
Для сайта: vtome.ru
Размер: 3 Mb
Язык: English

Beginning Kinect Programming with the Microsoft Kinect SDK gets you up and running developing Kinect applications for your PC using Microsoft tools and the official SDK. You will have a working Kinect program by the end of the first chapter! The following chapters will open up the secrets of three-dimensional vision, skeleton tracking, audio through the Kinect, and more. Examples illustrate the concepts in the form of simple games that react to your body movements. The result is a fun read that helps you learn one of the hottest technologies out there today.

Название: Beginning Mac Programming
Автор: Tim Isted
Издательство: Pragmatic Bookshelf
Год: 2010
Формат: PDF
Страниц: 352
Для сайта: vtome.ru
Размер: 4 Mb
Язык: English

Beginning Mac Programming takes you through concrete, working examples, giving you the core concepts and principles of development in context so you will be ready to build the applications you've been imagining. It introduces you to Objective-C and the Cocoa framework in clear, easy-to-understand lessons, and demonstrates how you can use them together to write for the Mac, as well as the iPhone and iPod.
You'll explore crucial developer tools like Xcode and Interface Builder, and learn the principles of object-oriented programming, and how memory, data, and storage work to help you build your software.
If you've ever wanted to develop software for the Mac, this book is for you.

Название: Towards Efficient Exploitation of GPUs
Автор: Jacobo Lobeiras Blanco
Издательство: Universidade da Coru?a
Год: 2014
Формат: pdf
Страниц: 222
Размер: 9,6 mb.
Язык: English

GPU computing supposed a major step forward, bringing high performance computing to commodity hardware. Feature-rich parallel languages like CUDA and OpenCL reduced the programming complexity. However, to fully take advantage of their computing power, specialized parallel algorithms are required. Moreover, the complex GPU memory hierarchy and highly threaded architecture makes programming a difficult task even for experienced programmers. Due to the novelty of GPU programming, common general purpose libraries are scarce and parallel versions of the algorithms are not always readily available.

Название: Think Complexity 2
Автор: Allen B. Downey
Издательство: Green Tea Press
Год: 2016
Формат: pdf
Страниц: 214
Размер: 1,4 mb.
Язык: English

This book is primarily about complexity science, but it is also about data structures and algorithms, intermediate programming in Python, computational modeling, and the philosophy of science.

Название: Handbook Statistical foundations of machine learning
Автор: Gianluca Bontempi
Издательство: Universite Libre de Bruxelles
Год: 2013
Формат: pdf
Страниц: 267
Размер: 7,07 mb.
Язык: English

In recent years, a growing number of organizations have been allocating vast amount of resources to construct and maintain databases and data warehouses. In scientific endeavours, data refers to carefully collected observations about some phenomenonunder study. In business, data capture information about economic trends, critical markets, competitors and customers. In manufacturing, data record machinery performances and production rates in different conditions. There are essentially two reasons why people gather increasing volumes of data: first, they think some valuable assets are implicitly coded within them, and computer technology enables effective data storage at reduced costs.

Название: Statistical Learning and Sequential Prediction
Автор: Alexander Rakhlin , Karthik Sridharan
Издательство: Autoedici?n
Год: 2014
Формат: pdf
Страниц: 261
Размер: 2,4 mb.
Язык: English

This course will focus on theoretical aspects of Statistical Learning and Sequential Prediction. Until recently, these two subjects have been treated separately within the learning community. The course will follow a unified approach to analyzing learning in both scenarios. To make this happen, we shall bring together ideas from probability and statistics, game theory, algorithms, and optimization. It is this blend of ideas that makes the subject interesting for us, and we hope to convey the excitement. We shall try to make the course as self-contained as possible, and pointers to additional readings will be provided whenever necessary. Our target audience is graduate students with a solid background in probability and linear algebra.

Название: Probabilistic Programming for Procedural Modeling and Design
Автор: Daniel Ritchie
Издательство: Standford University
Год: 2016
Формат: pdf
Страниц: 152
Размер: 43 mb.
Язык: English

Procedural modeling, or the use of pseudo-random programs to generate visual content, plays an important role in computer graphics and design. It facilitates content creation at massive scales, can automatically create painstakingly-detailed imagery, and can even generate pleasantly surprising results that can help people to navigate large and unintuitive design spaces

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Название: Parallel Cryptanalysis
Автор: Ruben Niederhagen
Издательство: Autoedici?n
Год: 2012
Формат: pdf
Страниц: 125
Размер: 0,8 mb.
Язык: English

Most of today’s cryptographic primitives are based on computations that are hard to perform for a potential attacker but easy to perform for somebody who is in possession of some secret information, the key, that opens a back door in these hard computations and allows them to be solved in a small amount of time. Each cryptographic primitive should be designed such that the cost of an attack grows exponentially with the problem size, while the computations using the secret key only grow polynomially. To estimate the strength of a cryptographic primitive it is important to know how hard it is to perform the computation without knowledge of the secret back door and to get an understanding of how much money or time the attacker has to spend. Usually a cryptographic primitive allows the cryptographer to choose parameters that make an attack harder at the cost of making the computations using the secret key harder as well. Therefore designing a cryptographic primitive imposes the dilemma of choosing the parameters strong enough to resist an attack up to a certain cost while choosing them small enough to allow usage of the primitive in the real world, e.g. on small computing devices like smart phones.

Название: Multiobjective Analysis and Inference of Phylogenetic Hypotheses by Means of Parallel and Bioinspired Computing
Автор: Sergio Santander Jim?nez
Издательство: Universidad de Extremadura
Год: 2015
Формат: pdf
Страниц: 271
Размер: 10,3 mb.
Язык: English

One of the most outstanding research topics in the field of bioinformatics is the reconstruction of evolutionary relationships among species. By studying the molecular features of living organisms, phylogenetic inference procedures seek to provide hypotheses about the evolutionary events which led to the current biodiversity in nature. The result of a phylogenetic analysis is given by a treeshaped data structure known as phylogenetic tree, whose topology describes the evolutionary history of the input species by defining ancestor-descendant relationships. The biological quality of the inferred phylogenies is usually evaluated by means of optimality criteria, which allow the modelling of phylogenetic inference as an optimization problem.