Computational 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 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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  • Author : Ryan McClarren
  • Publisher : Academic Press
  • Pages : 460 pages
  • ISBN : 0128123710
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputational Nuclear Engineering and Radiological Science Using Python

Computational Nuclear Engineering and Radiological Science Using Python

Computational Nuclear Engineering and Radiological Science Using Python
  • Author : Ryan McClarren
  • Publisher : Academic Press
  • Release : 27 October 2017
GET THIS 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 : 23 November 2018
GET THIS 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 : 21 September 2021
GET THIS 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

Introduction to Computation and Programming Using Python, second edition

Introduction to Computation and Programming Using Python, second edition
  • Author : John V. Guttag
  • Publisher : MIT Press
  • Release : 12 August 2016
GET THIS BOOKIntroduction to Computation and Programming Using Python, second edition

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation

Effective Computation in Physics

Effective Computation in Physics
  • Author : Anthony Scopatz,Kathryn D. Huff
  • Publisher : "O'Reilly Media, Inc."
  • Release : 25 June 2015
GET THIS 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

Python Programming and Numerical Methods

Python Programming and Numerical Methods
  • Author : Qingkai Kong,Timmy Siauw,Alexandre Bayen
  • Publisher : Academic Press
  • Release : 27 November 2020
GET THIS BOOKPython Programming and Numerical Methods

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly

Proceedings of the International e-Conference on Intelligent Systems and Signal Processing

Proceedings of the International e-Conference on Intelligent Systems and Signal Processing
  • Author : Falgun Thakkar,Geetali Saha,Celia Shahnaz,Yu-Chen Hu
  • Publisher : Springer Nature
  • Release : 13 August 2021
GET THIS BOOKProceedings of the International e-Conference on Intelligent Systems and Signal Processing

This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of

Machine Learning and Deep Learning Using Python and TensorFlow

Machine Learning and Deep Learning Using Python and TensorFlow
  • Author : Venkata Reddy Konasani,Shailendra Kadre
  • Publisher : McGraw Hill Professional
  • Release : 29 April 2021
GET THIS BOOKMachine Learning and Deep Learning Using Python and TensorFlow

Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in

Radiation and You

Radiation and You
  • Author : Ryan McClarren
  • Publisher : Unknown Publisher
  • Release : 19 April 2016
GET THIS BOOKRadiation and You

Radiation is all around us: in the rocks under the ground, naturally in food, and raining down from outer space. Most of this radiation is natural, and some of it we use to make our lives better. This book teaches elementary age students the basics of the atom and radioactivity and shows where radiation can be found and how it can be used to improve our lives. A glossary gives definitions of key terms in the radiation and nuclear sciences.

Monte Carlo Methods for Particle Transport

Monte Carlo Methods for Particle Transport
  • Author : Alireza Haghighat
  • Publisher : CRC Press
  • Release : 10 August 2020
GET THIS 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

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
  • Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
  • Publisher : Springer
  • Release : 29 January 2019
GET THIS 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

Intelligent Systems for Engineers and Scientists, Third Edition

Intelligent Systems for Engineers and Scientists, Third Edition
  • Author : Adrian A. Hopgood
  • Publisher : CRC Press
  • Release : 23 February 2016
GET THIS BOOKIntelligent Systems for Engineers and Scientists, Third Edition

The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization