Learn Physics with Functional Programming | A Hands-on Guide to Exploring Physics with Haskell

Scott N. Walck

ISBN 10: 1718501668 / ISBN 13: 9781718501669

Published by Random House LLC US, 2023

About this Item

Learn Physics with Functional Programming | A Hands-on Guide to Exploring Physics with Haskell | Scott N. Walck | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Random House LLC US | EAN 9781718501669 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 121490932

Bibliographic Details

• Title: Learn Physics with Functional Programming | A Hands-on Guide to Exploring Physics with Haskell
• Publisher: Random House LLC US
• Publication Date: 2023
• Language: English
• ISBN 10: 1718501668
• ISBN 13: 9781718501669
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 233W x 176H x 32D millimeters 233 millimeters width by 176 millimeters height by 32 millimeters depth
• Weight: 1004 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Deepen your understanding of physics by learning to use the Haskell functional programming language.

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.

About the Author

Scott Walck has a PhD in Physics from Lehigh University and has been a professor of physics, including computational physics, to undergraduates for over 20 years at Lebanon Valley College. He has also written academic articles and given talks on the use of functional programming in teaching physics.