Description

Book Synopsis
This advanced textbook, revised for its second edition, provides an introduction to the methods and tools of computational physics, and offers an overview of progress in scientific computing. Important concepts are illustrated with relevant step-by-step examples with exercises.

Trade Review
Review of the hardback: 'This is an excellent textbook for course on computational physics and scientific computation.' Zentralblatt MATH

Table of Contents
Preface to first edition; Preface; Acknowledgements; 1. Introduction; 2. Approximation of a function; 3. Numerical calculus; 4. Ordinary differential equations; 5. Numerical methods for matrices; 6. Spectral analysis; 7. Partial differential equations; 8. Molecular dynamics simulations; 9. Modeling continuous systems; 10. Monte Carlo simulations; 11. Genetic algorithm and programming; 12. Numerical renormalization; References; Index.

An Introduction to Computational Physics

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Order before 4pm today for delivery by Mon 19 Jan 2026.

A Paperback by Tao Pang

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    View other formats and editions of An Introduction to Computational Physics by Tao Pang

    Publisher: Cambridge University Press
    Publication Date: 6/10/2010 12:00:00 AM
    ISBN13: 9780521532761, 978-0521532761
    ISBN10: 0521532760

    Description

    Book Synopsis
    This advanced textbook, revised for its second edition, provides an introduction to the methods and tools of computational physics, and offers an overview of progress in scientific computing. Important concepts are illustrated with relevant step-by-step examples with exercises.

    Trade Review
    Review of the hardback: 'This is an excellent textbook for course on computational physics and scientific computation.' Zentralblatt MATH

    Table of Contents
    Preface to first edition; Preface; Acknowledgements; 1. Introduction; 2. Approximation of a function; 3. Numerical calculus; 4. Ordinary differential equations; 5. Numerical methods for matrices; 6. Spectral analysis; 7. Partial differential equations; 8. Molecular dynamics simulations; 9. Modeling continuous systems; 10. Monte Carlo simulations; 11. Genetic algorithm and programming; 12. Numerical renormalization; References; Index.

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