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Self Studying the MIT Applied Math Curriculum

harshsikka.me

101–102 of 102 posts

Re: Self Studying the MIT Applied Math Curriculum

#101
I studied a very similar curriculum over ten years ago during my Physics undergrad. While it’s not strictly “useful” in a day to day sense, nor do I remember much of the details of these courses or methods, I can tell you that studying applied math has served me very well during my career as an actuary.

Studying applied math gives you the skills of being able to approach problems in a logical, analytical, and above all PERSISTENT way (because let me tell you will you ever have some late nights banging your head on the desk trying to wrap your brain around these problems). These skills are crucial in any field where you need to create mathematical representations of a system - or break apart and understand someone else’a models.

Also - partial differential equations are just cool! They are like a mathematical rubick’s cube. Solving them will legitimately make you smarter.

Re: Self Studying the MIT Applied Math Curriculum

#102
post #48

Earlier quoted context omitted.

> general inversion of any MxN matrix ??! is there such a thing ? only nonsingular square matrices can be inverted. a general mxn matrix may have a “left inverse” or a “right inverse”, but i don’t think your code is computing that.

There is such a thing as a generalized inverse, in which you can invert non-square or non-full rank matrices and the generalized inverse meets many (but not all) of the properties of an inverse. The tough part is that the agreed upon set of properties does not create a unique solution for a generalized inverse like it does for the inverse, so there are multiple possibilities when someone says generalized inverse. How…

thank you very much for this !!
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