Numeric Computation and Statistical Data Analysis on the Java Platform

S. Chekanov was born in Minsk (Belarus) and received his Ph.D. inexperimental physics at Radboud University Nijmegen, The Netherlands. He hasmore than twenty five years of experience in high-energy particle physicsincluding advanced programming and analysis of large data volumes collected byhigh-energy experiments operated by major international collaborations. He haswritten  a book and over a hundredprofessional articles, many of them based on analysis of experimental data fromlarge-scale international experiments, such as LEP (CERN, European Organizationfor Nuclear Research), HERA (DESY, German Electron Synchrotron) and LHC, theLarge Hadron Collider experiment at CERN. Over the past decade he has dividedhis time between data analysis, developing analysis tools and providingsoftware support for the Midwest data-analysis centre (USA) of the LHCexperiment.  He is founder of thejWork.ORG community portal for promotingscientific computing for science and education.In 2005 he created a data-analysissoftware environment, which is presently known as DMelt. Currently, this software is the world's leading open-source program fordata analysis, statistics and scientific visualization, incorporating Javapackages from more than 100 developers around the world and with thousands ofusers. Presently, he works at the Argonne National Laboratory (Chicago, USA).

• Java Computational Platform.- Introduction to Jython.- Mathematical Functions.- Data Arrays.- Linear Algebra and Equations.- Symbolic Computations.- Histograms.- Scientific Visualization.- File Input and Output.- Probability and Statistics.- Linear Regression and Curve Fitting.- Data Analysis and Data Mining.- Neural Networks.- Finding Regularities and Data Classification.- Miscellaneous Topics.- Using Other Languages on the Java Platform.- Octave-style Scripting Using Java.- Index.- Index of Code Examples.