Discrete Mathematics
This is really good. You see this correspondence between fractions in the Stern Brocot tree and continued fractions very clearly. See also his previous lecture on this.
You could make a great text book for discrete maths and functional programming out of Norman's videos. Just about everything he does is programmable because of constructivist, finitist stance. See Doron Zeilberger and Persi Diaconis on Probability and Mathematical Knowledge.
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And you can look at matrix multiplication as circuits:
42:06 So it turns out that the category of matrices is a full subcategory of the category of finite dimensional vector spaces over a field. This means that you can define finite dimensional vector spaces over some field and then you have matrices (1:06:50). See the lectures below. So does this mean that the natural numbers can be modelled as matrices? And could you then use rational matrices like those that Wildberger uses above as elements of the underlying field for the vector spaces? And then the next stage is to define tensors as derivatives of matrices so that you can start enumerating models of the kind Chantal Roth constructs? See Pierre Agostini - The Genesis of an Attosecond Pulse Train.
See also Emily Riehl, Justin Clarke-Doane and Simon DeDeo on Meaning and Truth in Mathematics and Brendan Fong and David Spivak - Seven Sketches in Compositionality: An Invitation to Applied Category Theory.
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One comment reads: My discrete mathematics education was in the same course as functional programming. As a result, I don't remember discrete mathematics nor functional programming.
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