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Computational Nuclear Engineering and Radiological Science Using Python by [McClarren, Ryan]
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Computational Nuclear Engineering and Radiological Science Using Python 1st Edition, Kindle Edition

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Product description


All-in-one resource on numerical methods, nuclear engineering processes and programs using Python, a modern programming language

About the Author

Ryan McClarren is Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. He has spent his professional career educating students in the mathematics and computation required for modern engineering. His research centers around the study of uncertainties in large-scale simulation, and numerical methods for radiation transport problems. Additionally, he is the author of 44 publications in refereed journals and has been the editor of a special issue of the journal Transport Theory and Statistical Physics. He is well known in the computational nuclear engineering community and has research awards and grants from the NSF, DOE, and three national labs.

Product details

  • Format: Kindle Edition
  • File Size: 133305 KB
  • Print Length: 431 pages
  • Page Numbers Source ISBN: 0128122536
  • Publisher: Academic Press; 1 edition (19 Oct. 2017)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B076FSHK8L
  • Text-to-Speech: Enabled
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  • Enhanced Typesetting: Not Enabled
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