Computational Nuclear Engineering and Radiological Science Using Python

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Download book entitled Computational Nuclear Engineering and Radiological Science Using Python by Ryan McClarren and published by Academic Press in PDF, EPUB and Kindle. Read Computational Nuclear Engineering and Radiological Science Using Python book directly from your devices anywhere anytime. Click Download Book button to get book file. Read some info about this book below.

  • Publisher : Academic Press
  • Release : 27 October 2017
  • ISBN : 9780128123713
  • Page : 460 pages
  • Rating : 4.5/5 from 103 voters

Computational Nuclear Engineering and Radiological Science Using Python Book PDF summary

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering. Offers numerical methods as a tool to solve specific problems in nuclear engineering Provides examples on how to simulate different problems and produce graphs using Python Supplies accompanying codes and data on a companion website, along with solutions to end-of-chapter problems

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Computational Nuclear Engineering and Radiological Science Using Python

Computational Nuclear Engineering and Radiological Science Using Python
  • Author : Ryan McClarren
  • Publisher : Academic Press
  • Release Date : 2017-10-27
  • ISBN : 9780128123713
DOWNLOAD BOOKComputational Nuclear Engineering and Radiological Science Using Python

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems

Uncertainty Quantification and Predictive Computational Science

Uncertainty Quantification and Predictive Computational Science
  • Author : Ryan G. McClarren
  • Publisher : Springer
  • Release Date : 2018-11-23
  • ISBN : 9783319995250
DOWNLOAD BOOKUncertainty Quantification and Predictive Computational Science

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses

Machine Learning for Engineers

Machine Learning for Engineers
  • Author : Ryan G. McClarren
  • Publisher : Springer Nature
  • Release Date : 2021-09-21
  • ISBN : 9783030703882
DOWNLOAD BOOKMachine Learning for Engineers

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to

Effective Computation in Physics

Effective Computation in Physics
  • Author : Anthony Scopatz,Kathryn D. Huff
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2015-06-25
  • ISBN : 9781491901588
DOWNLOAD BOOKEffective Computation in Physics

More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming

Monte Carlo Methods for Particle Transport

Monte Carlo Methods for Particle Transport
  • Author : Alireza Haghighat
  • Publisher : CRC Press
  • Release Date : 2020-08-10
  • ISBN : 9780429582202
DOWNLOAD BOOKMonte Carlo Methods for Particle Transport

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications, explaining its concepts and limitations. Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo

Robot Operating System (ROS)

Robot Operating System (ROS)
  • Author : Anis Koubaa
  • Publisher : Springer
  • Release Date : 2016-02-09
  • ISBN : 9783319260549
DOWNLOAD BOOKRobot Operating System (ROS)

The objective of this book is to provide the reader with a comprehensive coverage on the Robot Operating Systems (ROS) and latest related systems, which is currently considered as the main development framework for robotics applications. The book includes twenty-seven chapters organized into eight parts. Part 1 presents the basics and foundations of ROS. In Part 2, four chapters deal with navigation, motion and planning. Part 3 provides four examples of service and experimental robots. Part 4 deals with real-world deployment of applications. Part 5

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
  • Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
  • Publisher : Springer
  • Release Date : 2019-01-29
  • ISBN : 9783319948782
DOWNLOAD BOOKArtificial Intelligence in Medical Imaging

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types

Blockchain in the Industrial Internet of Things

Blockchain in the Industrial Internet of Things
  • Author : Lakshmana Kumar Ramasamy,Seifedine Kadry
  • Publisher : Unknown
  • Release Date : 2021
  • ISBN : 0750336625
DOWNLOAD BOOKBlockchain in the Industrial Internet of Things