Learn IT - Books tags paradigms

Parallel Algorithm Derivation and Program Transformation

Springer, 1993

Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success. Perhaps because ad hoc programming on sequential machines is so straightforward, sequential programming methodology has had little impact outside the academic community, and transformational methodology has had little...

SQL Server 2005 Reporting Essentials

O'Reilly, 2006

SQL Server 2005 Reporting Services lets you create, manage, and deliver a variety of report types that contain data from relational and multidimensional data sources as well as any data source that has a .NET Framework managed data provider, an OLE DB data provider, or an ODBC provider.

You can create...

R Deep Learning Projects: Master the techniques to design and develop neural network models in R

Packt Publishing, 2018

5 real-world projects to help you master deep learning concepts

Key Features

Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more

Get to grips with R's impressive range of...

Modern Fortran: Style and Usage

Cambridge University Press, 2011

Fortran is one of the oldest high-level languages and remains the premier language for writing code for science and engineering applications. Modern Fortran: Style and Usage is a book for anyone who uses Fortran, from the novice learner to the advanced expert. It describes best practices for programmers, scientists, engineers, computer...

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems

Springer, 2005

We describe in this book, new methods for intelligent pattern recognition using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for pattern recognition. Hybrid intelligent systems...

AI Game Engine Programming (Game Development Series)

Charles River, 2004

AI Game Engine Programming provides game developers with the tools and wisdom necessary to create modern game AI engines. It takes programmers from theory to actual game development, with usable code frameworks designed to go beyond merely detailing how a technique might be used. In addition, it surveys the capabilities of the different...

Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds

Apress, 2017

Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS.

Begin by...

Pro Visual C++/CLI and the .NET 2.0 Platform

Apress, 2005

It is with great satisfaction that I introduce you to Stephen’s excellent new book, Pro Visual C++/CLI
and the .NET 2.0 Platform, the first detailed treatment of what has been standardized under ECMA as
C++/CLI. Of course, any text, no matter how excellent, is itself incomplete, like a three-walled room.

The fourth wall,...

Advances in Intelligent Networking and Collaborative Systems: The 11th International Conference on Intelligent Networking and Collaborative Systems ... in Intelligent Systems and Computing)

Springer, 2019

This book presents the latest innovative research findings, methods, and development techniques related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, and secure intelligent cloud systems. Offering both theoretical and practical perspectives, it also reveals...

Bioinformatics: Problem Solving Paradigms

Springer, 2008

There are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics. This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics...

Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)

Springer, 2012

Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must...

Smart Intelligent Computing and Applications: Proceedings of the Second International Conference on SCI 2018, Volume 2 (Smart Innovation, Systems and Technologies (105))

Springer, 2018

The proceedings covers advanced and multi-disciplinary research on design of smart computing and informatics. The theme of the book broadly focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and...

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