Learn IT - Today Books

Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)

Springer, 2013

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints,...

Backbone.js Cookbook

Packt Publishing, 2013

For JavaScript developers the Backbone.js framework is full of potential. This book, with its accessible recipes, allows you to get to grips with building modern frontend web applications, quickly and easily.

Overview

Easy-to-follow recipes to build dynamic web applications

HTML, XHTML, and CSS: Complete

Cengage Learning, 2010

Part of the highly successful Shelly Cashman series, this text provides a complete overview of HTML and leads the user through a clear, step-by-step, screen-by-screen approach to learning. Readers learn how to create a Web page using HTML, format the page, add graphics, and more....

Pure JavaScript (2nd Edition)

Sams Publishing, 2001

Pure JavaScript, Second Edition is a substantial and focused reference for experienced Web developers. This book begins with an accelerated introduction to the newest features of JavaScript so that experienced Web developers can quickly understand the concepts of JavaScript and begin developing their own JavaScript solutions...

Arduino Microcontroller Processing for Everyone! (Synthesis Lectures on Digital Circuits and Systems)

Morgan and Claypool Publishers, 2010

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino team of Massimo Banzi, David Cuartielles, Tom Igoe, Gianluca Martino, and David Mellis launched a new innovation in microcontroller hardware in 2005, the concept of open source hardware. Their approach was to openly share details of...

Introduction to the Design and Analysis of Algorithms (3rd Edition)

Pearson Education, 2011

Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal...

Multivariate Time Series Analysis: With R and Financial Applications

John Wiley & Sons, 2013

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

Solving Problems in Scientific Computing Using Maple and MATLAB®

Springer, 2001

From the reviews: ".. An excellent reference on undergraduate mathematical computing." (American Mathematical Monthly) "... manuals for such systems (Maple and MATLAB) tend to use trivial examples, making it difficult for new users of such systems to quickly apply their power to real problems. The authors have written a good book...

Algorithms and Data Structures: 12th International Symposium, WADS 2011, New York, NY, USA, August 15-17, 2011, Proceedings (Lecture Notes in Computer Science)

Springer, 2011

This book constitutes the refereed proceedings of the 12th Algorithms and Data Structures Symposium, WADS 2011, held in New York, NY, USA, in August 2011.
The Algorithms and Data Structures Symposium - WADS (formerly "Workshop on Algorithms and Data Structures") is intended as a forum for researchers in the area of design...

Problem Solving, Abstraction, and Design using C++ (6th Edition)

Pearson Education, 2010

Problem Solving, Abstraction, and Design Using C++ presents and reinforces basic principles of software engineering design and object-oriented programming concepts while introducing the C++ programming language. The hallmark feature of this book is the Software Development Method that is introduced in the first chapter...

Introduction to Data Analysis with R for Forensic Scientists (International Forensic Science and Investigation)

CRC Press, 2010

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes...

Competing Risks and Multistate Models with R (Use R!)

Springer, 2011

This book explains hazard-based analyses of competing risks and multistate data using the R statistical programming code, placing special emphasis on interpretation of results. Includes real data examples, and encourages readers to simulate their own data....

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