I like the characterization of pure vs. applied math being primarily about motivation. I've often said the difference is more on the "why" that the "what".
A common joke among students when I was in my computer-science program:
when asked a how-many or how-much question that involved basic arithmetic, one would reply:
> US Army applying new areas of math Good on them, that long division can be tricky. > Modeling frameworks are desired that are able to eschew the usual computational simplification assumptions and realistically capture … complexities of real world environments and phenomena, while still maintaining some degree of computational tractability. Of specific interest are causal and predictive modeling frameworks, hybrid m…
> You could fit everyone in the Army who understands this in a single barracks.
Why would you need more people than that? I wouldn't be surprised if the number of people in my University who understand this would fit in a single barracks too, but it doesn't in any way detract from the work they're doing.
I like the characterization of pure vs. applied math being primarily about motivation. I've often said the difference is more on the "why" that the "what".
I studied applied mathematics. Roughly summarised: pure mathematicians create new math through the process of conjecture and proof . Applied mathematicians use those theorems and methods to solve simplified models of reality in order to draw conclusions about expected behaviour and/or for the sake of optimisation .
I would say in my applied math degree we didn't really solve most problems (maybe an easy problem on a test) but we did work more directly with actual numbers in our proofs, and we usually proved theorems focused on solving computational problems. But mostly, no, we were not solving problems computaitonally
I like the characterization of pure vs. applied math being primarily about motivation. I've often said the difference is more on the "why" that the "what".
A common joke among students when I was in my computer-science program: when asked a how-many or how-much question that involved basic arithmetic, one would reply: "Yeah, I can't do that. That's applied math".
The math equivalent was "I'm a mathematician, not an arithmetician", or a variant.
It's true though, lots of mathematicians are lousy at arithmetic.
For anyone interested in applying traditionally pure fields, Applied Topology has been slowly gaining steam lately (as reflected in the article: "topological" is now a hot word). Robert Ghrist of UPenn has been at the forefront of bringing topology into applied fields; and has written a good text on the subject.
Hipster Topology: I studied Algebraic Topology before it became "Applied"
Frankly this sounds like some bureaucrat who likes HTT made up an excuse to fund it. It's a mil/gov version of a corporate engineer who decides to build a project in a language they read about on HN.
> this sounds like some bureaucrat who likes HTT
...did you read that after you typed it? do you think there is a actually some US federal government bureaucrat running around who has an opinion on HTT?
For anyone interested in applying traditionally pure fields, Applied Topology has been slowly gaining steam lately (as reflected in the article: "topological" is now a hot word). Robert Ghrist of UPenn has been at the forefront of bringing topology into applied fields; and has written a good text on the subject.
Dr. Ghrist is awesome. He is also doing a lot of great work opening up learning materials to his undergrad students.
For anyone interested in applying traditionally pure fields, Applied Topology has been slowly gaining steam lately (as reflected in the article: "topological" is now a hot word). Robert Ghrist of UPenn has been at the forefront of bringing topology into applied fields; and has written a good text on the subject.
Topological Data Analysis was the next big thing a couple of years ago, and it certainly has its applications [1], but the breadth of its applicability may have been overhyped and the energy has fizzled somewhat.
For anyone interested in applying traditionally pure fields, Applied Topology has been slowly gaining steam lately (as reflected in the article: "topological" is now a hot word). Robert Ghrist of UPenn has been at the forefront of bringing topology into applied fields; and has written a good text on the subject.
> Robert Ghrist of UPenn has been at the forefront of bringing topology into applied fields; and has written a good text on the subject.
I studied applied mathematics. Roughly summarised: pure mathematicians create new math through the process of conjecture and proof . Applied mathematicians use those theorems and methods to solve simplified models of reality in order to draw conclusions about expected behaviour and/or for the sake of optimisation .
That's not quite right, in my opinion. In a past life I was an (applied) research mathematician, but started off fairly pure. Wearing both hats you can find yourself creating new mathematics, but there is a difference in why you are doing it, and what you consider progress to mean.
And how worried you are about rigorous proofs. You can happily hand wave your way to some approximation in Applied Maths land (because you need the result, not that you are trying to prove that it is true). Then you can spend the next bit of time relaxing various assumptions about your approximation and see where it takes you. A lot of new tools come from thinking deeply about roadblocks to applied problems, that sort of thing tends to be the maths I am personally most engaged by.