Learn Physics with Functional Programming : A Hands-on Guide to Exploring Physics with Haskell
by
Scott Walck
Book Details
Format
Paperback / Softback
ISBN-10
1718501668
ISBN-13
9781718501669
Publisher
No Starch Press,US
Imprint
No Starch Press,US
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jan 31st, 2023
Print length
648 Pages
Weight
1,006 grams
Dimensions
23.50 x 18.10 x 3.20 cms
Product Classification:
PhysicsFunctional programming
Ksh 8,650.00
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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:
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.
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.
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