Introduction to computational physics for undergraduates /

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"Version: 20241201"--Title page verso.Includes bibliographical references.1. The Linux/Unix operating system -- 1.1. Introduction -- 1.2. Files and directories -- 1.3. Overview of Unix/Linux commands -- 1.4. Basic commands -- 1.5. More on the C-shell2. Text editors -- 2.1. Vi -- 2.2. Emacs3. The Fortran 90 programming language -- 3.1. Introduction -- 3.2. Compilers -- 3.3. Program layout -- 3.4. Variable declaration -- 3.5. Basic expressions -- 3.6. Input and output -- 3.7. Control structures -- 3.8. Modular programming -- 3.9. Arrays4. Numerical techniques -- 4.1. Curve fitting--method of least squares -- 4.2. The cubic spline approximation -- 4.3. Numerical differentiation -- 4.4. Numerical integration -- 4.5. Monte Carlo integration -- 4.6. Matrix operations -- 4.7. Finding roots -- 4.8. Solving ordinary differential equations5. Problem solving methodologies -- 5.1. General guidelines -- 5.2. Projectile motion example6. Worksheet assignments -- 6.1. Coding a mathematical expression -- 6.2. Comparing two functions -- 6.3. Bessel functions of the first kind -- 6.4. Logical IF statements -- 6.5. Lead concentration in humans -- 6.6. Nested Do loops and double summations -- 6.7. Least squares fit -- 6.8. Numerical derivatives -- 6.9. Numerical integration -- 6.10. Monte Carlo integration -- 6.11. Finding roots of a nonlinear equation -- 6.12. Ordinary differential equations -- 6.13. Projectile in a viscous medium -- 6.14. Damped harmonic oscillator -- 6.15. RLC circuit7. Homework assignments -- 7.1. Fresnel coefficients -- 7.2. Semiempirical mass formula of atomic nuclei -- 7.3. Magnetic permeability -- 7.4. Fourier sine transforms -- 7.5. Kinetic friction -- 7.6. Compton scattering -- 7.7. Radioactive decay -- 7.8. Halley's comet -- 7.9. Rocket equation -- 7.10. Hydrostatic equilibrium and relativistic stars -- 7.11. Proton in constant electric and magnetic fields -- 7.12. Square voltage pulse applied to a RC circuit -- 7.13. Mutual inductance of two coils -- 7.14. The accelerating Universe -- 7.15. An economic demand-and-supply model -- 7.16. Photo-pion production in the Universe and the GZK cutoffAppendix A. Cubic spline Fortran code -- Appendix B. Summary of modern Fortran features -- Appendix C. Plotting using Python -- Appendix D. Fortran 90 sample program illustrating good programming.Full-text restricted to subscribers or individual document purchasers.This book provides an accessible introduction to computational physics, designed specifically for undergraduate students. Its purpose is to bridge the gap between theoretical physics and practical, computational approaches, equipping students with the tools and techniques needed to solve real-world physics problems through programming and numerical methods. This book's approach is highly practical, with a strong emphasis on coding exercises and projects that encourage students to actively engage with the material. Examples and exercises are carefully chosen to reinforce learning, and each chapter provides step-by-step guidance to solve problems using computational tools. By the end of the book, readers will have a solid grounding in both computational skills and physics applications, preparing them for more advanced studies or professional work in physics, engineering, or related fields.Undergraduate students in physics and engineering.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Omair Zubairi received his BSc and MSc in Physics from San Diego State University. He obtained his PhD in Computational Science from Claremont Graduate University and San Diego State University where he primarily worked on compact star physics. His other research interests include general relativity, numerical astrophysics and computational methods and techniques. Omair is a dedicated educator in physics and computational science. He has taught students from all backgrounds in many areas of physics from the introductory sequence to upper division courses where he incorporates numerical methods and computational techniques into each course. 'By allowing students to see and apply numerical simulations to various topics covered in lectures, they are able to gain invaluable insight into the problem at hand. Fridolin Weber is a Distinguished Professor of Physics at San Diego State University and a Research Scientist at the University of California, San Diego. His research focuses on nuclear and particle processes in extreme astrophysical systems, such as neutron stars and supernovae. His interests also include quantum many-body theory applied to nuclear and dense quark matter, relativistic astrophysics, quantum gravity, and Einstein's theory of general relativity. He has published five books, co-authored over 250 papers, and given over 300 talks at national and international conferences and physics schools.Title from PDF title page (viewed on January 17, 2025).

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Publisher

: .,

Collation

1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750364935

Classification

530.15/8282

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Edition

Second edition.

Subject(s)

SCIENCE / Physics / Mathematical & Computational.
Mathematical physics.
Physics

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Statement of Responsibility

Omair Zubairi, Fridolin Weber.

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