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Computational Physics by Nicholas Giordano – Pearson Hardcover Textbook
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Computational Physics: Simulation and Modeling for Science and Engineering by Nicholas Giordano – A Pearson Textbook for

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Product Description

Introduction

Computational Physics by Nicholas Giordano is an essential resource for students and researchers seeking to bridge the gap between theoretical physics and practical computation. Published by Pearson, this hardcover edition offers a comprehensive exploration of how numerical methods and algorithms can be applied to solve complex physical problems. Tailored for the Indian academic context, this book equips readers with the skills to simulate real-world phenomena, from projectile motion to quantum mechanics, using computational tools. Whether you are a postgraduate student in physics or an engineering professional, this book serves as a gateway to mastering the art of scientific computing.

Book Overview

This book provides a rich blend of theoretical concepts and hands-on programming examples, making it a standout choice for courses in computational physics. Giordano’s approach emphasizes understanding through doing, with numerous example programs and calculations that help readers write original code. The book covers a wide array of topics, allowing instructors to tailor their syllabus with flexibility. It is designed to foster independent problem-solving skills, making it ideal for self-study or classroom use in Indian universities where computational methods are increasingly integrated into physics curricula.

Key Highlights

  • Wide Topic Coverage: From classical mechanics to quantum systems, the book includes topics like planetary motion, chaotic pendulums, and fractal growth.
  • Algorithmic Clarity: Each algorithm is explained in detail, enabling readers to build their own programs from scratch.
  • Practical Examples: Contains ample example programs that demonstrate real-world applications of computational techniques.
  • Flexible Pedagogy: Designed to suit both semester-long courses and self-paced learning, with depth options for advanced topics.
  • Focus on Realism: Includes realistic air resistance, three-body problems, and stochastic systems to mirror actual physical scenarios.

Inside the Book

Giordano structures the content to gradually introduce computational methods while reinforcing core physics principles. The journey begins with simple projectile motion and advances to complex systems such as chaotic dynamics and quantum mechanics. Each chapter features step-by-step derivations, code snippets, and graphical outputs to visualize results. The book also delves into statistical physics, offering insights into thermal systems and random processes. Readers will find detailed discussions on error analysis, numerical integration, and differential equations, all presented in an accessible manner that encourages experimentation.

Key Topics

  • Projectile motion with and without air resistance
  • Planetary motion and the three-body problem
  • Chaotic motion of the pendulum
  • Waves on a string and Fourier analysis
  • Fractal growth and stochastic systems
  • Statistical physics and Monte Carlo methods
  • Quantum mechanics and eigenvalue problems
  • Numerical integration and differential equations

Reader Benefits

By working through this book, readers gain the ability to transform abstract physics equations into executable simulations. This hands-on skill is invaluable for research in astrophysics, material science, and engineering. The book also enhances problem-solving capabilities, as learners must debug and optimize their code. Indian students will particularly benefit from the clear exposition of algorithms, which aligns with the country’s growing emphasis on computational skills in higher education. Moreover, the hardcover format ensures durability for repeated reference during lab work or project development.

Learning Outcomes

  • Develop proficiency in writing original programs for physical simulations
  • Understand how to model realistic systems using numerical methods
  • Analyze chaotic and stochastic behavior in dynamical systems
  • Apply computational techniques to solve quantum mechanical problems
  • Interpret graphical outputs to draw meaningful physical conclusions

Who Should Read

This book is ideal for undergraduate and postgraduate students pursuing physics, applied mathematics, or engineering. It is also highly suitable for researchers and faculty members who wish to incorporate computational modules into their courses. Professionals working in data science or simulation-based industries will find the algorithmic foundations useful. The content assumes basic knowledge of physics and programming, making it accessible to motivated learners from diverse backgrounds. Indian readers preparing for competitive exams or research fellowships will find this book a valuable addition to their library.

About the Author

Nicholas Giordano is a renowned physicist and educator with extensive experience in computational physics and condensed matter theory. He has taught at prestigious institutions and authored multiple textbooks that are widely adopted in university curricula. His writing style is known for being clear, student-friendly, and deeply rooted in practical application. Giordano’s expertise ensures that every concept is explained with precision, making complex topics approachable for learners at all levels.

About the Publisher

Pearson is a global leader in educational publishing, known for delivering high-quality academic resources across disciplines. With a strong presence in India, Pearson provides textbooks that meet the standards of Indian universities and competitive examinations. Their commitment to accuracy, clarity, and innovation makes them a trusted partner for students and educators alike. This hardcover edition reflects Pearson’s dedication to producing durable and reliable learning materials.

Conclusion

Computational Physics by Nicholas Giordano is more than a textbook; it is a practical guide that empowers readers to explore physics through computation. Its comprehensive coverage, clear algorithms, and real-world examples make it an indispensable tool for anyone looking to master the intersection of physics and programming. For Indian students and professionals aiming to excel in research or industry, this book offers the perfect blend of theory and practice. Order your copy today from Bookshops.in and take a decisive step toward computational mastery.

Quick Summary

Computational Physics by Nicholas Giordano is a definitive textbook that bridges the gap between theoretical physics and practical computation. Designed for undergraduate and postgraduate students in India, this book equips readers with the skills to write their own programs for simulating a wide range of physical phenomena. From the classic problem of projectile motion with air resistance to the complexities of chaotic pendulums, fractal growth, and quantum mechanics, Giordano provides clear explanations of underlying algorithms and offers numerous example programs. The book emphasizes hands-on learning, making it ideal for students in physics, engineering, and applied mathematics. By working through the exercises, readers develop a deep understanding of numerical methods, differential equations, and Monte Carlo techniques. Published by Pearson, this hardcover edition is built to last through years of study. Whether you are preparing for a career in research or simply curious about how computers model the physical world, this book is an invaluable resource. Buy your copy from Bookshops.in, India's trusted online bookstore, and start your journey into computational science today.

Book Highlights

Covers projectile motion with realistic air resistance
Explores planetary motion and the three-body problem
Analyses chaotic motion of the pendulum
Simulates waves on a string
Includes fractal growth and stochastic systems
Provides examples in statistical physics
Covers quantum mechanics computational methods
Explains algorithms needed to write original programs
Features many example programs and calculations
Ideal for undergraduate and postgraduate physics students
Written by Nicholas Giordano, a renowned physicist
Published by Pearson, a trusted academic publisher
Suitable for self-study and classroom use
Hardcover edition for durability

Book Specifications

ISBN-139780131469907
ISBN-100131469908
Publisher‎ Pearson Addison-Wesley
Language‎ English
Dimensions‎ 19.3 x 3.61 x 24.38 cm
Weight‎ 953 g
CategoryScience & Mathematics › Physics
GenreScience & Mathematics
Original LanguageEnglish

Frequently Asked Questions

What is Computational Physics about?
It teaches how to use computers to simulate and solve physical problems using numerical methods.
Who is the author of this book?
The author is Nicholas Giordano, a professor of physics at Purdue University.
Is this book suitable for beginners in programming?
Yes, it explains algorithms clearly and provides example programs to help beginners.
What topics does the book cover?
It covers projectile motion, planetary motion, chaos, fractals, waves, statistical physics, and quantum mechanics.
Do I need prior knowledge of physics?
Basic undergraduate physics knowledge is recommended.
Which programming language is used?
The book uses pseudocode and examples in Fortran/C-like languages, adaptable to any language.
Can this book be used for self-study?
Absolutely, it is written for both classroom and independent learning.
Is this book available in India?
Yes, you can buy it from Bookshops.in with delivery across India.
What is the binding of this book?
It is a hardcover edition for long-lasting use.
Does the book include exercises?
Yes, it includes many problems and programming exercises.
Is this book used in Indian universities?
Yes, it is a recommended text for computational physics courses in many Indian institutions.
What is the price of this book?
The price is ₹5255 on Bookshops.in.
Can I return the book if damaged?
Please check Bookshops.in return policy for details.
Does the book cover Monte Carlo methods?
Yes, it includes stochastic systems and Monte Carlo simulations.

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