My real name: Daniel O'Connor.
I'm an assistant professor in the Mathematics and Statistics department at University of San Francisco.
Background: Applied math PhD at UCLA, researched algorithms for large scale convex optimization with advisor Lieven Vandenberghe. I did a postdoc in the UCLA Department of Radiation Oncology, where I developed algorithms for radiation treatment planning.
Here's my PhD thesis: http://escholarship.org/uc/item/4z1126w3#page1
Here are some of my stackexchange highlights:
How would you discover Stokes's theorem?
What was Feynman's "much better way of presenting the electrodynamics"?
The intuition behind the dual problem in optimization
The intuition behind Lagrange multipliers
Deriving the gradient boosting machine algorithm
Why does the fundamental theorem of calculus work?
Intuition behind the chain rule
Understanding a proof of the inverse function theorem
Discovering the discrete Fourier transform
Computing the gradient of $\frac12 \ Ax  b \^2$ with finesse
An easy way to discover Taylor approximation with a formula for the remainder
Intuitive explanation of the multivariable change of variables formula
A natural proof of the CauchySchwarz inequality
What is integration by parts, really?

SupporterNov 28, 2015

AutobiographerFeb 18, 2015
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