Learn IT - Books tags computational

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...

Algorithms and Computation: 18th International Symposium, ISAAC 2007, Sendai, Japan, December 17-19, 2007, Proceedings (Lecture Notes in Computer Science)

Springer, 2008

This book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Computation, ISAAC 2007, held in Sendai, Japan, in December 2007. The 77 revised full papers presented together with two invited talks were carefully reviewed and selected from 220 submissions. The papers included topical sections on...

The R Student Companion

Routledge, 2012

R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book...

Seamless R and C++ Integration with Rcpp (Use R!)

Springer, 2013

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Introductory Statistics with R (Statistics and Computing)

Springer, 2008

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the...

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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Algorithms in Combinatorial Design Theory (Mathematics Studies)

Elsevier Limited, 1985

Recent years have seen an explosive growth in research in combinatorics and graph theory. One primary factor in this rapid development has been the advent of computers, and the parallel study of practical and efficient algorithms. This volume represents an attempt to...

Computer Science: Notable Research and Discoveries (Frontiers of Science)

Facts on File, 2010

No one is certain how much more powerful and possibly intelligent computers will become in the 21st century. Exploring six prominent topics in computer science research, this title describes how computer scientists conduct research and attempt to formulate answers to important questions. Research published in journals, presented at conferences,...

Sensors: Theory, Algorithms, and Applications (Springer Optimization and Its Applications)

Springer, 2011

In recent years, technological advances have resulted in the rapid development of a new exciting research direction – the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include military surveillance, environmental screening, computational neuroscience,...

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)

Cambridge University Press, 2019

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...

Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX ... 2018 (Studies in Computational Intelligence)

Springer, 2018

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications...

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