Decomposing recursions using algebras episode artwork

EPISODE · Jul 13, 2021 · 11 MIN

Decomposing recursions using algebras

from Iowa Type Theory Commute · host Aaron Stump

Analogously to the decomposition of a datatype into a functor (which can be built from other functors to assemble a bigger language from smaller pieces of languages) and a single expression datatype with a sole constructor that builds an Expr from an F Expr (where F is the functor) -- analogously, a recursion can be decomposed into algebras and a fold function that applies the algebra throughout the datatype.  

Episode metadata supplied by the publisher feed · Published Jul 13, 2021

Analogously to the decomposition of a datatype into a functor (which can be built from other functors to assemble a bigger language from smaller pieces of languages) and a single expression datatype with a sole constructor that builds an Expr from an F Expr (where F is the functor) -- analogously, a recursion can be decomposed into algebras and a fold function that applies the algebra throughout the datatype.

PodParley-generated summary based on available episode metadata and transcript content.

NOW PLAYING

Decomposing recursions using algebras

0:00 11:54

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of Iowa Type Theory Commute?

This episode is 11 minutes long.

When was this Iowa Type Theory Commute episode published?

This episode was published on July 13, 2021.

What is this episode about?

Analogously to the decomposition of a datatype into a functor (which can be built from other functors to assemble a bigger language from smaller pieces of languages) and a single expression datatype with a sole constructor that builds an Expr from...

Can I download this Iowa Type Theory Commute episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!