Best Reference Books – Advance Computational Physics

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We have compiled the list of Top 10 Best Reference Books on Advance Computational Physics subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Advance Computational Physics along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Advance Computational Physics subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Advance Computational Physics" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Computational Physics: An Introduction” by R C Verma

“Computational Physics: An Introduction” Book Review: . The present book is an effort to provide a quality and classroom tested resource material. This book is designed for researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics.This book covers a complete introduction to the field of computational physics, with examples and exercises in the Python programming language. It provides topics on how computers play a central role in virtually every major physics discovery today, from astrophysics and particle physics to biophysics and condensed matter. This book explains the fundamentals of computational physics and describes in simple terms the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform.

2. “Computational Physics” by Mark Newman

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“Computational Physics” Book Review: This book is designed for the advanced student or researcher who wants to learn the foundational elements of this important field. The book offers a complete introduction to the topic at the undergraduate level. This book covers a complete introduction to the field of computational physics, with examples and exercises in the Python programming language. It provides topics on how computers play a central role in virtually every major physics discovery today, from astrophysics and particle physics to biophysics and condensed matter. This book explains the fundamentals of computational physics and describes in simple terms the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform.

3. “The Physics of Wall Street: A Brief History of Predicting the Unpredictable” by James Owen Weatherall
4. “A First Course In Computational Physics” by Javier Hasbun and Paul Devries

“A First Course In Computational Physics” Book Review: This book is designed for the advanced student or researcher who wants to learn the foundational elements of this important field. The book offers a complete introduction to the topic at the undergraduate level. It covers how computational physics is reshaping the way calculations are made in all areas of physics, and Computational skills are fundamental to every student working in the field. It covers the different types of computational problems using MATLAB with exercises developed around problems of physical interest. Also includes topics such as root finding, Newton-Cotes integration, and ordinary differential equations are included and presented in the context of physics problems.

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5. “Computational Statistical Physics: Lecture Notes, Guwahati SERC School (Texts and Readings in Physical Sciences)” by Sitangshu Bikas Santra and Purusattam Ray

“Computational Statistical Physics: Lecture Notes, Guwahati SERC School (Texts and Readings in Physical Sciences)” Book Review: This book is designed for beginning graduate students and young researchers in the area of statistical physics. This will also be a valuable general reference for students and researchers in other areas of science and engineering. The nine chapters comprising the book deal with topics that range from the fundamentals of the field, to problems and questions that are at the very forefront of current research.This book aims to expose the graduate student to the basic as well as advanced techniques in computational statistical physics. Following a general introduction to statistical mechanics and critical phenomena, the various chapters cover Monte Carlo and molecular dynamics simulation methodology, along with a variety of applications. These include the study of coarsening phenomena and diffusion in zeolites.

6. “Computational Methods for Physics” by Joel Franklin

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“Computational Methods for Physics” Book Review: This book is designed for the advanced student or researcher who wants to learn the foundational elements of this important field. The book offers a complete introduction to the topic at the undergraduate level. This book covers a complete introduction to the field of computational physics, with examples and exercises in the Python programming language. It provides topics on how computers play a central role in virtually every major physics discovery today, from astrophysics and particle physics to biophysics and condensed matter. This book explains the fundamentals of computational physics and describes in simple terms the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform.

7. “Computational Physics” by D K Jha

“Computational Physics” Book Review: : This book is designed for the advanced student or researcher who wants to learn the foundational elements of this important field.It provides readers the detailed information experimentally accessible computational approaches based on detailed atomic models. This book is organized so that non specialists as well as more advanced users can benefit. It can serve as both an introductory text to computational sciences making it useful for undergraduate and postgraduate students, and also a reference source for active researchers in the field. Efforts have also been made to compile a comprehensive.The book provides the needed information for calculating the interpreting experimentally observed properties on the basis of results generated by centre simulations.

8. “Computational Physics: Selected Methods Simple Exercises Serious Applications” by Karl H Hoffmann and Michael Schreiber

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“Computational Physics: Selected Methods Simple Exercises Serious Applications” Book Review: This book is designed for the advanced student or researcher who wants to learn the foundational elements of this important field. This book introduces the reader to current fields, including molecular dynamics, hybrid Monte-Carlo algorithms, and neural networks. Simple Exercises give hands-on advice for effective program solutions from a small number of lines to demonstration programs with elaborate graphics. It contains how questions concerning, for example, aging, many-minima optimisation, or phase transitions can be treated by appropriate tools.

9. “Computational Earthquake Physics: Simulations, Analysis and Infrastructure” by imusti

“Computational Earthquake Physics: Simulations, Analysis and Infrastructure” Book Review: This book is designed for the advanced student or researcher who wants to learn the foundational elements of this important field. This second part of a two-volume work contains 22 research articles on various aspects of computational earthquake physics. Coverage includes the promising earthquake forecasting model LURR (Load-Unload Response Ratio); pattern informatics and phase dynamics and their applications; computational algorithms, including continuum damage models and visualization and analysis of geophysical datasets; and assimilation of data.

10. “Computational Physics: Simulation of Classical and Quantum Systems” by Philipp Scherer

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“Computational Physics: Simulation of Classical and Quantum Systems” Book Review: This book is designed for beginning graduate students and young researchers in the area of statistical physics. This will also be a valuable general reference for students and researchers in other areas of science and engineering. The nine chapters comprising the book deal with topics that range from the fundamentals of the field, to problems and questions that are at the very forefront of current research.This book aims to expose the graduate student to the basic as well as advanced techniques in computational statistical physics. Following a general introduction to statistical mechanics and critical phenomena, the various chapters cover Monte Carlo and molecular dynamics simulation methodology, along with a variety of applications. These include the study of coarsening phenomena and diffusion in zeolites.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Advance Computational Physics – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Advance Computational Physics" so that one can readily see the list of top books on "Advance Computational Physics" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Advance Computational Physics subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter