Discrete mathematics and functional programming

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1. __rito__May 2024
   You might like these-

   - Matrix Arcade (https://yizhe-ang.github.io/matrix-explorable//)

   - Computational Discovery on Jupyter (https://computational-discovery-on-jupyter.github.io/Computa...)

   - Nature Inspired Programming Recipes (https://github.com/clever-algorithms/CleverAlgorithms)

   - A Little Calculus (https://papl.cs.brown.edu/2018/func-as-data.html#%28part._.A...)

   - The Matrix in Computer Science (https://cs.brown.edu/courses/cs053/current/lectures.htm)

   - Discrete Mathematics and Functional Programming (https://cs.wheaton.edu/~tvandrun/dmfp/)

   - A Programmer's Introduction to Mathematics (https://pimbook.org/)

   - Complexity Explorer (https://www.complexityexplorer.org/)

   - Learn Physics with Functional Programming (https://nostarch.com/learn-physics-functional-programming)

   - Seeing Theory (https://seeing-theory.brown.edu/)

   - Coding The Matrix (https://codingthematrix.com/)

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2. hackermailmanApr 2018
   If you want to fill gaps, any typical undergrad calculus text will do such as Stewart's Early Transcendentals book. You do enough of those 8,000+ exercises and your highschool gaps will fill themselves. My favorite beginner math books are Thomas VanDrunen's Discrete Mathematics and Functional Programming because it's entirely done in SML, and Apostol's Calculus because you end up doing so many exercises you absolutely will never make a silly algebra mistake in a proof or forget a trig identity ever again. Often Apostol will just defer to endless calculating in the chapter exercises if he doesn't have anything he wants to add to the material, this is really good practice if your basic math education is shit like mine was.
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3. cfedukeDec 2015
   There is a text book _Discrete Mathematics and Functional Programming_ (VanDrunen) [1] which can be bought off Amazon for $60 new. (I bought a used copy when they were cheap, for <$30.) Its a great place to start.

   There is an older version of the manuscript available if you scour Google.

   Then there are also the videos that accompany the text book, which can be accessed by anyone. [2]

   Because learning a language like ML is for the express purpose of thinking differently its likely beneficial to learn the language in a domain you might be unfamiliar with - possibly somewhat academically, instead of building an application from scratch. ("Oh I know how to solve this problem... I'll write an if-then-else statement with a bunch of branches!" vs. "Pattern matching in a case statement? List deconstruction and matching? This looks interesting.")

   1. http://www.amazon.com/Discrete-Mathematics-Functional-Progra... 2. http://cs.wheaton.edu/~tvandrun/dmfp/

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4. sanosukeMay 2015
   Programming in Haskell, Graham Hutton.

   Functional programming in Scala, Bjarnason.

   Discrete Mathematics and Functional Programming, VanDrunen.

   What would be your recommendation?

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