Dynamic Analysis User's Guide PDF Download
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Author: MSC Software
Publisher: MSC Software
ISBN: 1585240141
Category : Computers
Languages : en
Pages : 818
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Book Description
Author: MSC Software
Publisher: MSC Software
ISBN: 1585240141
Category : Computers
Languages : en
Pages : 818
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Book Description
Author: David N. Herting
Publisher:
ISBN: 9781585240043
Category :
Languages : en
Pages : 300
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Book Description
Author: MSC Software
Publisher: MSC Software
ISBN: 1585240168
Category : Computers
Languages : en
Pages : 699
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Book Description
Author: Ken Blakey
Publisher:
ISBN:
Category : NASTRAN.
Languages : en
Pages :
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Book Description
Author: Grant Sitton
Publisher:
ISBN: 9781585240036
Category :
Languages : en
Pages : 533
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Book Description
Author: MSC Software
Publisher: MSC Software
ISBN: 158524015X
Category : Computers
Languages : en
Pages : 751
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Book Description
Author: David N. Herting
Publisher:
ISBN:
Category : Finite element method
Languages : en
Pages : 279
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Book Description
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 978
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
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Book Description
Author: Douglas Luke
Publisher: Springer
ISBN: 3319238833
Category : Mathematics
Languages : en
Pages : 241
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Book Description
Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.