Learn IT - Books tags computational

Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms

Springer, 2005

Randomization has become a standard approach in algorithm design. Efficiency and simplicity are the main features of randomized algorithms that often made randomization a miraculous springboard for solving complex problems in various applications. Especially in the areas of communication, cryptography, data management, and discrete...

Cancer Modelling and Simulation (Chapman & Hall/CRC Mathematical and Computational Biology)

CRC Press, 2003

Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to discover and gain insight into the dynamics of tumour development and growth. It highlights the benefits of tumour modelling, such...

Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)

Springer, 2005

Full four-color book.

Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R.

All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies.

Code underlying all of the computations that are...

Interactions Between Computational Intelligence and Mathematics Part 2 (Studies in Computational Intelligence)

Springer, 2018

This book presents recent research in the field of interaction between computational intelligence and mathematics. In the current technological age, we face the challenges of tackling very complex problems – in the usual sense, but also in the mathematical and theoretical computer science sense. However, even the most...

Quantum Monte Carlo: Origins, Development, Applications

Oxford University Press, 2007

Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and...

Computational Finance Using C and C# (Quantitative Finance)

Academic Press, 2008

In Computational Finance Using C and C# George Levy raises computational finance to the next level using the languages of both standard C and C#. The inclusion of both these languages enables readers to match their use of the book to their firms internal software and code requirements. Levy also provides derivatives pricing information for:
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Information Assurance and Security Ethics in Complex Systems: Interdisciplinary Perspectives

IGI Global, 2010

Often computers are viewed as machines that run algorithms. This view of computers covers a vast range of devices, from simple computers that perform limited and specific computations (for example, a computer found in a wristwatch) to supercomputers, which are groups of computers linked together in homogeneous and heterogeneous clusters and...

Innovations in Intelligent Machines - 1 (Studies in Computational Intelligence) (No. 1)

Springer, 2007

This book includes a collection of chapters on the state of art in the area of intelligent machines. This research would provide a sound basis to make autonomous systems human-like.

The contributions include: an introduction to intelligent machines; supervisory control of multiple UAVs; intelligent autonomous UAV task allocation;...

Introduction to Reversible Computing (Chapman & Hall/CRC Computational Science)

CRC Press, 2013

Few books comprehensively cover the software and programming aspects of reversible computing. Filling this gap, Introduction to Reversible Computing offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated software approach.

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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Apress, 2017

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Beginning Data Science in R...

Ruby Developer's Guide

Syngress Publishing, 2002

"Ruby Developer's Guide" discusses the role of Ruby in real-world applications, including the use of databases and XML, the coding of graphical user interfaces (GUIs) by means of different toolkits, communicating with other languages over SOAP/XML-RPC or sockets, and the programming of concurrent and distributed applications. Using...

Introduction to Automata Theory, Languages and Computation (Addison-Wesley series in computer science)

Addison Wesley, 1979

Ten years ago the authors undertook to produce a book covering the known material on formal languages, automata theory, and computational complexity. In retrospect, only a few significant results were overlooked in the 237 pages. In writing a new book on the subject, we find the field has expanded in so many new directions that a...

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