Learn Physics With Functional Programming: A Ha... [DIRECT]

Learn Physics with Functional Programming: A Haskell-Based Approach

Traditional physics education often relies on imperative programming or manual calculus, which can obscure the underlying symmetries and laws of nature. This paper proposes a functional programming (FP) approach—specifically using Haskell—to model physical systems. By leveraging strong typing, immutability, and higher-order functions, students can map mathematical equations directly to executable code, fostering a deeper conceptual understanding of mechanics and field theory. 1. Introduction Learn Physics with Functional Programming: A Ha...

The trajectory of a particle over time can be modeled as a fold or scan over a sequence of time steps, reflecting the cumulative nature of integration. 3. Implementation Example: Projectile Motion and higher-order functions

A physical state (position, velocity) can be defined as a immutable record. Laws as Functions: Newton’s Second Law ( Learn Physics with Functional Programming: A Ha...