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The Mathematica GuideBook for Graphics (Repost)

Posted By: AvaxGenius

Date: 23 Feb 2024 04:14:33

The Mathematica GuideBook for Graphics (Repost)

The Mathematica GuideBook for Graphics By Michael Trott
English | PDF | 2004 | 1374 Pages | ISBN : 1461264413 | 110.74 MB

Mathematica is today’s most advanced technical computing system. It features a rich programming environment, two- and three-dimensional graphics capabilities and hundreds of sophisticated, powerful programming and mathematical functions using state-of-the-art algorithms. Combined with a user-friendly interface, and a complete mathematical typesetting system, Mathematica offers an intuitive, easy-to-handle environment of great power and utility.

Science Mathematica Mathematica GuideBook Programming Patterns Algorithms Mathematics computing graphics

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Soft Computing Applications (Repost)

Posted By: AvaxGenius

Date: 11 Feb 2024 23:21:56

Soft Computing Applications: Proceedings of the 7th International Workshop Soft Computing Applications (SOFA 2016), Volume 2 By Valentina Emilia Balas, Lakhmi C. Jain, Marius Mircea Balas
English | PDF | 2018 | 634 Pages | ISBN : 3319625233 | 105.9 MB

These two volumes constitute the Proceedings of the 7th International Workshop on Soft Computing Applications (SOFA 2016), held on 24–26 August 2016 in Arad, Romania. This edition was organized by Aurel Vlaicu University of Arad, Romania, University of Belgrade, Serbia, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, General Association of Engineers in Romania - Arad Section, and BTM Resources Arad.

Development Soft Computing computing Signal Processing Mathematics Machine Learning

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Advances in Computer Graphics (Repost)

Posted By: AvaxGenius

Date: 11 Feb 2024 22:52:52

Advances in Computer Graphics: 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20–23, 2020, Proceedings by Nadia Magnenat-Thalmann
English | PDF | 2020 | 562 Pages | ISBN : 3030618633 | 104.2 MB

This book constitutes the refereed proceedings of the 37th Computer Graphics International Conference, CGI 2020, held in Geneva, Switzerland, in October 2020. The conference was held virtually.

Development Graphics Computer Graphics machine learning scientific visualization visualization robotics geometric computing computing

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AI for Good: Applications in Sustainability, Humanitarian Action, and Health

Posted By: yoyoloit

Date: 8 Feb 2024 10:10:57

AI for Good: Applications in Sustainability, Humanitarian Action, and Health

computing AI Business

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Computational Intelligence-based Optimization Algorithms: From Theory to Practice

Posted By: yoyoloit

Date: 2 Feb 2024 15:41:50

computing Algorithms

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Multistage Interconnection Network Design for Engineers

Posted By: yoyoloit

Date: 2 Feb 2024 10:08:42

Network Design computing

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AIoT and Big Data Analytics for Smart Healthcare Applications

Posted By: yoyoloit

Date: 2 Feb 2024 08:48:28

health computing

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Periodically Correlated Random Sequences: Spectral Theory and Practice

Posted By: AvaxGenius

Date: 30 Jan 2024 07:15:50

Periodically Correlated Random Sequences: Spectral Theory and Practice by Harry L. Hurd, Abolghassem Miamee
English | PDF | 2007 | 370 Pages | ISBN : 047134771X | 14.6 MB

Uniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis
The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as meteorology, climate, communications, economics, andmachine diagnostics. Periodically Correlated Random Sequencespresents the main ideas of these processes through the use of basicdefinitions along with motivating, insightful, and illustrativeexamples. Extensive coverage of key concepts is provided, includingsecond-order theory, Hilbert spaces, Fourier theory, and thespectral theory of harmonizable sequences. The authors also providea paradigm for nonparametric time series analysis including testsfor the presence of PC structures.

Science Statistics Probability computing time series analysis

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