Learn IT - Books tags graphs

A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

Pragmatic Bookshelf, 2017

Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios...

Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)

Oxford University Press, 2006

This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation....

The Basics of S and S-PLUS (Statistics and Computing)

Springer, 1997

S-PLUS is a powerful tool for interactive data analysis, creating graphs, and implementing customized routines. Originating as the S language of AT&T Bell Laboratories, its modern language and flexibility make it appealing to data analysts from many scientific fields. This book explains the basics of S-PLUS in a clear style at a level...

WALCOM: Algorithms and Computation: Second International Workshop, WALCOM 2008, Dhaka, Bangladesh, February 7-8, 2008, Proceedings (Lecture Notes in Computer Science)

Springer, 2008

This book constitutes the refereed proceedings of the Second International Workshop on Algorithms and Computation, WALCOM 2008, held in Dhaka, Bangladesh, in February 2008.

The 19 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 57 submissions. The papers feature...

Exploring Analytical Geometry with Mathematica

Academic Press, 1999

The study of two-dimensional analytic geometry has gone in and out of fashion several times over the past century, however this classic field of mathematics has once again become popular due to the growing power of personal computers and the availability of powerful mathematical software systems, such as Mathematica, that can provide an...

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)

Springer, 2007

This new third edition has again been thoroughly revised, even though the changes are not as extensive as in the second edition. Of course, the general aims of the book have remained the same.

In particular, I have added some additional material, namely two new sections concerning graphical codes (which provides a...

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

The Art of R Programming: A Tour of Statistical Software Design

No Starch Press, 2011

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

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Getting Started with Flex 4

Adobe Developer Library, 2010

Discover what's possible with the latest version of Flash Builder and Flex. This hands-on guide helps you dive into the Adobe Flash Platform: through a series of quick step-by-step tutorials, you'll learn the process of building, debugging, and deploying a complete Rich Internet Application with Flex 4. Each...

Probability: With Applications and R

John Wiley & Sons, 2013

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

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A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)

Springer, 2011

Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...

Bayesian Networks in R: with Applications in Systems Biology (Use R!)

Springer, 2013

While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...

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