Learn Physics with Functional Programming (Paperback)

Scott Walck

ISBN 10: 1718501668 / ISBN 13: 9781718501669

Verlag: No Starch Press,US, San Francisco, 2023

Beschreibung

Paperback. 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 equationsExpress 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 equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic fieldWhether 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. "This book shows how to solve physics problems using Haskell, a functional programming language. Source code, equations, and diagrams throughout demonstrate how physics enthusiasts and functional programmers can use Haskell and its mathematical structures to solve problems from Newtonian mechanics and electromagnetics"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verkäufers 9781718501669

Bibliografische Details

• Titel: Learn Physics with Functional Programming (Paperback)
• Verlag: No Starch Press,US, San Francisco
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1718501668
• ISBN-13: 9781718501669
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.