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» Computational
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ken_uit_9x | Today, 14:12 | 0 | 0


Derek F. Holt, Bettina Eick, Eamonn A. O'Brien - Handbook of Computational Group Theory
Published: 2025-01-13 | ISBN: 1584883723 | PDF + DJVU | 536 pages | 11.58 MB
portdl | Yesterday, 11:52 | 1 | 0


Industrial Statistics: Aims and Computational Aspects. Proceedings of the Satellite Conference to the 51st Session of the International Statistical ... 16-17, 1997. (Contributions to Statistics) by Christos Kitsos
English | Aug 13, 2024 | ISBN: 3790810428 | 297 Pages | PDF | 13 MB


Devoted to the growing impact of statistical methodology and statistical computing in industry the aim of this book is to link the three components: Statistics - industry - computers. Different areas of industrial statistics are presented by a number of excellent contributions.
portdl | 9-06-2015, 17:39 | 0 | 0


Jean-Claude Samin, Paul Fisette - Multibody Dynamics: Computational Methods and Applications
Published: 2024-10-17 | ISBN: 9400754035, 9401781052 | PDF | 216 pages | 4.84 MB

This volume provides the international multibody dynamics community with an up-to-date view on the state of the art in this rapidly growing field of research which now plays a central role in the modeling, analysis, simulation and optimization of mechanical systems in a variety of fields and for a wide range of industrial applications.
ken_uit_9x | 9-06-2015, 11:29 | 1 | 0


Computational Methods for Microstructure-Property Relationships by Somnath Ghosh and Dennis Dimiduk
English | ISBN: 1441906428 | 2010 | 790 pages | PDF | 17,5 MB

Computational Methods for Microstructure-Property Relationships introduces state-of-the-art advances in computational modeling approaches for materials structure-property relations. Written with an approach that recognizes the necessity of the engineering computational mechanics framework, this volume provides balanced treatment of heterogeneous materials structures within the microstructural and component scales.
ken_uit_9x | 9-06-2015, 08:34 | 0 | 0


Computational Problems in Engineering (Lecture Notes in Electrical Engineering) by Nikos Mastorakis and Valeri Mladenov
English | ISBN: 3319039660 | 2014 | 324 pages | PDF | 15 MB

This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering.
ken_uit_9x | 9-06-2015, 08:10 | 0 | 0


Computational Finance: An Introductory Course with R by Argimiro Arratia
English | ISBN: 946239069X | 2014 | 301 pages | PDF | 5 MB

The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R.
ken_uit_9x | 9-06-2015, 07:48 | 0 | 0


High-Performance Computational Solutions in Protein Bioinformatics by Dariusz Mrozek
English | ISBN: 3319069705 | 2014 | 132 pages | PDF | 5 MB

Recent developments in computer science enable algorithms previously perceived as too time-consuming to now be efficiently used for applications in bioinformatics and life sciences. This work focuses on proteins and their structures, protein structure similarity searching at main representation levels and various techniques that can be used to accelerate similarity searches.
bestrelease | 9-06-2015, 01:06 | 0 | 0


Stephan Ruscheweyh, Edward Saff, Luis C. Salinas, "Computational Methods and Function Theory"
1990 | pages: 222 | ISBN: 3540527680, 0387527680 | PDF | 10,1 mb
ken_uit_9x | 8-06-2015, 17:49 | 0 | 0


Stephan P. A. Sauer - Molecular Electromagnetism: A Computational Chemistry Approach
Published: 2024-11-01 | ISBN: 0199575398 | PDF | 316 pages | 3 MB
ken_uit_9x | 8-06-2015, 07:04 | 0 | 0


Elements of Computational Statistics (Statistics and Computing) by James E. Gentle
English | 2002 | ISBN: 0387954899 | 439 Pages | PDF | 3 MB

Computationally intensive methods have become widely used both for statistical inference and for exploratory analyses of data. The methods of computational statistics involve resampling, partitioning, and multiple transformations of a dataset.