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Learn Physics with Functional Programming Cover

Learn Physics with Functional Programming

A Hands-on Guide to Exploring Physics with Haskell
by Scott N. Walck
December 2022, 648 pp.
ISBN-13: 
9781718501669
(*)Print Book and FREE Ebook, $49.99
( )Ebook (PDF, Mobi, and ePub), $39.99
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  * Contents

Look Inside!

Learn Physics with Functional Programming back coverLearn Physics
with Functional Programming pages 40-41Learn Physics with Functional
Programming pages 106-107Learn Physics with Functional Programming
pages 132-133Learn Physics with Functional Programming pages 230-231
Learn Physics with Functional Programming pages 342-343

Download Chapter 14: NEWTON'S SECOND LAW

Learn Physics with Functional Programming is your key to unlocking
the mysteries of theoretical physics by coding the underlying math in
Haskell.

You'll use Haskell's type system to check that your code makes sense
as you deepen your understanding of Newtonian mechanics and
electromagnetic theory, including how to describe and calculate
electric and magnetic fields.

As you work your way through the book's numerous examples and
exercises, you'll learn how to:

  * Encode vectors, derivatives, integrals, scalar fields, vector
    fields, and differential equations
  * Express fundamental physical principles using the logic of
    Haskell's type system to clarify Newton's second law, Coulomb's
    law, the Biot-Savart law, and the Maxwell equations
  * Use higher-order functions to express numerical integration and
    approximation methods, such as the Euler method and the
    finite-difference time-domain (FDTD) method
  * Create graphs, models, and animations of physical scenarios like
    colliding billiard balls, waves in a guitar string, and a proton
    in a magnetic field

Whether you're using this book as a core textbook for a computational
physics course or for self-study, Learn Physics with Functional
Programming will teach you how to use the power of functional
programming to explore the beautiful ideas of theoretical physics.

Author Bio 

Scott Walck has a PhD in Physics from Lehigh University. He has
taught physics, including computational physics, to undergraduates
(physics majors and non-majors) for 20 years at Lebanon Valley
College, where he has been recognized with a Distinguished Teaching
Award. Walck is a 3-time NSF grant recipient for research in quantum
information and is the author of 30+ peer-reviewed research articles
in physics.

Table of contents 

Acknowledgments
Introduction
Part I: A Haskell Primer for Physicists
Chapter 1: Calculating with Haskell
Chapter 2: Writing Basic Functions
Chapter 3: Types and Entities
Chapter 4: Describing Motion
Chapter 5: Working with Lists
Chapter 6: Higher-Order Functions
Chapter 7: Graphing Functions
Chapter 8: Type Classes
Chapter 9: Tuples and Type Constructors
Chapter 10: Describing Motion in Three Dimensions
Chapter 11: Creating Graphs
Chapter 12: Creating Stand-Alone Programs
Chapter 13: Creating 2D and 3D Animations
Part II: Expressing Newtonian Mechanics and Solving Problems
Chapter 14: Newton's Second Law and Differential Equations
Chapter 15: Mechanics in One Dimension
Chapter 16: Mechanics in Three Dimensions
Chapter 17: Satellite, Projectile, and Proton Motion
Chapter 18: A Very Short Primer on Relativity
Chapter 19: Interacting Particles
Chapter 20: Springs, Billiard Balls, and a Guitar String
Part III: Expressing Electromagnetic Theory and Solving Problems
Chapter 21: Electricity
Chapter 22: Coordinate Systems and Fields
Chapter 23: Curves, Surfaces, and Volumes
Chapter 24: Electric Charge
Chapter 25: Electric Field
Chapter 26: Electric Current
Chapter 27: Magnetic Field
Chapter 28: The Lorentz Force Law
Chapter 29: The Maxwell Equations
Appendix: Installing Haskell
Bibliography
Index

View the Copyright page
View the detailed Table of Contents
View the Index

Extra Stuff 

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