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visits member for 1 year, 10 months
seen Apr 23 '13 at 20:22

Apr
23
comment What is going on with this constrained optimization?
So this definitely works when all eigenvalues are different (because we can construct a basis out of corresponding eigenvectors) but how can we be sure that this will always work even when some eigenvalues are the same?
Apr
23
asked What is going on with this constrained optimization?
Feb
23
accepted What can a linear transformation do in $\mathbb{R}^2$?
Feb
23
comment What can a linear transformation do in $\mathbb{R}^2$?
How does this one degree of freedom manifest on an arbitrary A,B,C,D matrix? There should be a way to remove one variable then. Also please see my edited question.
Feb
23
revised What can a linear transformation do in $\mathbb{R}^2$?
added 533 characters in body
Feb
23
asked What can a linear transformation do in $\mathbb{R}^2$?
Feb
19
awarded  Scholar
Feb
19
accepted How many vertices in multi-dimensional space?
Feb
19
accepted Proof about number of vertices ($\mathbb{R}^3$ space)…
Feb
19
comment Proof about number of vertices ($\mathbb{R}^3$ space)…
I'd love to come up with the same property for $\mathbb{R}^4$. Do you think that's possible? Given that the above applies only to vertices-facets...
Feb
19
awarded  Supporter
Feb
19
asked Proof about number of vertices ($\mathbb{R}^3$ space)…
Feb
16
awarded  Editor
Feb
16
revised How many vertices in multi-dimensional space?
deleted 82 characters in body
Feb
16
awarded  Student
Feb
16
asked How many vertices in multi-dimensional space?