Brian Borchers

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Name Brian Borchers
Member for 2 years
Seen 2 days ago
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Location Socorro, NM
Age 49
I'm a professor of mathematics at New Mexico Tech, in Socorro, NM. My mathematical interests are primarily in optimization and applications of optimization to parameter estimation and inverse problems, particularly in the earth sciences.
Mar
26
accepted minimization of a function when the feasible set is an unbounded cone
Mar
24
answered minimization of a function when the feasible set is an unbounded cone
Mar
5
comment Proof that polynomial evaluated at roots of unity is DFT
Your notation seems a bit confused (and perhaps suggests why you're unable to establish this result.) You haven't explained what $a_{0}$, $a_{1}$, $...$ are.
Feb
3
comment Robust optimization in matlab using fmincon
The poster has also put this same question up on scicomp.stackexchange.com, where she's somewhat more likely to get a useful answer, provided that she can clarify the question.
Dec
26
answered Projection and Positive matrices
Dec
26
revised Relating the angle between two vectors to max and min eigenvalues
deleted 5 characters in body
Dec
26
comment Relating the angle between two vectors to max and min eigenvalues
You can think of the $x_{i}^{2}$ as nonnegative weights that sum to one. This opens up the whole world of the generalized mean inequality.
Dec
26
answered Relating the angle between two vectors to max and min eigenvalues
Dec
16
comment How to solve a system of linear equations without storing the matrix?
If the matrix isn't sparse, and the cost of getting individual matrix entries is large compared to the cost of accessing an element of a matrix stored in conventional dense matrix form, then iterative methods are going to be horribly slow in practice.
Dec
16
comment How to solve a system of linear equations without storing the matrix?
Let me clarify what I meant here- "being able to get an arbitrary element M(i,j) at little cost" isn't very useful. If you don't know where the nonzero elements are in the matrix, then you have to check every single one to find the nonzeros. If you do happen to know where the nonzero elements are, and you can compute them quickly, then you could use this as a way to do matrix vector multiplications in an iterative method.
Dec
7
answered How to solve a system of linear equations without storing the matrix?