Computational Physics With R
James Foadi
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
New - Hardcover
Condition: New
Ships from Germany to U.S.A.
Quantity: 2 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
Condition: New
Quantity: 2 available
Add to basketNeuware - Computational Physics with R provides a comprehensive introduction to computational methods in physics, designed for students and researchers who wish to use R as their primary programming environment. While computational physics is often taught with languages such as C++, Python, or Fortran, this book fills a unique gap by adopting R, a language widely known for statistical computing and data visualisation, and demonstrating its effectiveness in tackling core problems in physics. The book adopts a strongly pedagogical approach: it emphasizes step-by-step construction of algorithms, reproducible code, and guided exercises with fully worked solutions. The book is both a teaching resource and a reference for practical problem-solving in physics.Key Features: - First book on Computational Physics using the R programming language. - The book can also be used as a thorough introduction to the R language for physicists. - The book is accessible at an advanced undergraduate level. - The book can be used both as introduction to fundamental Computational Physics and as reference to advanced Computational Physics. - The book can be used as text book for a one- or two-semester courses on Computational Physics. - Each section ends with a few recommended computing exercises and suggested computing projects. Solutions to both are included. - Each chapter opens with learning objectives and closes with an end-of-chapter summary.
Seller Inventory # 9780750326308
Computational Physics with R provides a comprehensive introduction to computational methods in physics, designed for students and researchers who wish to use R as their primary programming environment. While computational physics is often taught with languages such as C++, Python, or Fortran, this book fills a unique gap by adopting R, a language widely known for statistical computing and data visualisation, and demonstrating its effectiveness in tackling core problems in physics. The book adopts a strongly pedagogical approach: it emphasizes step-by-step construction of algorithms, reproducible code, and guided exercises with fully worked solutions. The book is both a teaching resource and a reference for practical problem-solving in physics.
Key Features:
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