This book sets out to unlock the mysteries of theoretical physics by coding the underlying math in Haskell. Scott Walck shows how to use Haskell’s type system to check that your code makes sense. Walck explains Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.
<ASIN:1718501668>
Author: Scott Walck Publisher: No Starch Press Date: January 2023 Pages: 648 ISBN: 978-1718501669 Print:1718501668 Kindle: B09WJWSFW8 Audience: People interested in physics Level: Intermediate/Advanced Category: Other Languages and Mathematics
Topics include:
- 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
For recommendations of functional programming books see First Class Functional Programming Books in our Programmer's Bookshelf section.
For more Book Watch just click.
Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
Learn Quantum Computing with Python and Q#
Author: Dr. Sarah Kaiser and Dr. Chris Granade Publisher: Manning Date: June 2021 Pages: 384 ISBN: 978-1617296130 Print: 1617296139 Kindle: B098BNK1T9 Audience: Developers interested in quantum computing Rating: 4.5 Reviewer: Mike James Quantum - it's the future...
|
Machine Learning with PyTorch and Scikit-Learn
Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili Publisher: Packt Date: February 2022 Pages: 770 ISBN: 978-1801819312 Print: 1801819319 Kindle: B09NW48MR1 Audience: Python developers interested in machine learning Rating: 5 Reviewer: Mike James This is a very big book of machine le [ ... ]
| More Reviews |
|