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Rajesh D's user avatar
Rajesh D's user avatar
Rajesh D's user avatar
Rajesh D
  • Member for 14 years, 1 month
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error estimates for multi-dimensional Riemann sums
Related: mathoverflow.net/q/376145/134538 Is the answer $\sim \zeta_nV(f^2)$ or $\sim \zeta_n^m V(f^2)$. I am not sure about the exponent of $\zeta_n$. Is the dimension has any role?
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An otherwise linear matrix equation with the presence of a signum function : reference request
Sorry to bother you again, most of the MILP softwares ask only one inequality (one matroix inequality, one matrix equality and one bound inequality. How can I feed this problem into these software, as I here have multiple inequlities and they are not in format of the one required for these software. Any furthur processing needs to be done. It would be great if you could share some info on this. Thanks.
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An otherwise linear matrix equation with the presence of a signum function : reference request
One last question, I understood the constraints, but what is it that should be minimized? As I read any MILP problem has constraints and a minimization problem.
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What is the convergence rate of the minimum separation distance?
@Dirk : I thought Lipschitz domain means bounded already, but learnt just now that it isn't. So to add, $\Omega$ is a bounded domain with a smooth boundary.
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What is the convergence rate of the minimum separation distance?
My question could be really simple or silly, just that I don't know the answer. I am sure I am asking what I intended.
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What is the convergence rate of the minimum separation distance?
no. $h(n) = \min_{p_i,p_j\in E_n,p_i \ne p_j}\|p_i-p_j\|_2$
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