Introduction to Scientific Programming and Simulation Using R - Info and Reading Options
By Owen Dafydd Jones, Robert Maillardet and Andrew P. Robinson
"Introduction to Scientific Programming and Simulation Using R" was published by Taylor & Francis Group in 2014 - Hoboken, the book is classified in Mathematics genre, it has 606 pages and the language of the book is English.
“Introduction to Scientific Programming and Simulation Using R” Metadata:
- Title: ➤ Introduction to Scientific Programming and Simulation Using R
- Authors: Owen Dafydd JonesRobert MaillardetAndrew P. Robinson
- Language: English
- Number of Pages: 606
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2014
- Publish Location: Hoboken
- Genres: Mathematics
“Introduction to Scientific Programming and Simulation Using R” Subjects and Themes:
- Subjects: ➤ Informatique - R (Langage de programmation) - Sciences - Simulation par ordinateur - Mode les mathe matiques - Processus stochastiques - Proble mes et exercices - Problèmes et exercices - Modèles mathématiques - Numerical analysis - R (Computer program language) - Stochastic processes - Science - Computer simulation - Computer programming - Data processing - Mathematical models - Science, data processing - Numerical analysis, data processing
Edition Identifiers:
- Google Books ID: 1SDcBQAAQBAJ
- The Open Library ID: OL29227378M - OL16919484W
- Library of Congress Control Number (LCCN): 2012276711
- ISBN-13: 9781466570016 - 9781466569997
- ISBN-10: 1466570016
- All ISBNs: 9781466570016 - 1466570016 - 9781466569997
AI-generated Review of “Introduction to Scientific Programming and Simulation Using R”:
Snippets and Summary:
This second edition continues to introduce scientific programming and stochastic modelling in a clear,
"Introduction to Scientific Programming and Simulation Using R" Description:
Google Books:
Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear,
Open Data:
Programming. Numerical Techniques. Probability and Statistics. Simulation. Glossary of R Commands. Programs and Functions Developed in the Text. Index.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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