Roy Smits was a humble man. A wise man. A nice man. And there was nobody calmer than him before coaching a game. It was a common sight to see the former Premontre boys basketball coach sitting on the ...
NBA All Star Game (s) 2025 - National Basketball Association (NBA ...
A new definition and subsequent warning for faking being fouled (flopping) has been added to the NFHS Basketball Rules Book for the 2024-25 season. This revision to high school basketball rules was one of 12 changes approved by the NFHS Basketball Rules Committee at its April 9-11 meeting in Indi...
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All Activity Home Forums Kentucky High School Sports KY Boys Basketball (High School) 9th Region Off-Season Discussion (2025-2026)
I am not a mathematics student but somehow have to know about L1 and L2 norms. I am looking for some appropriate sources to learn these things and know they work and what are their differences. I am
In number theory, the "norm" is the determinant of this matrix. In that sense, unlike in analysis, the norm can be thought of as an area rather than a length, because the determinant can be interpreted as an area (or volume in higher dimensions.) However, the area/volume interpretation only gets you so far.
For example, in matlab, norm (A,2) gives you induced 2-norm, which they simply call the 2-norm. So in that sense, the answer to your question is that the (induced) matrix 2-norm is $\le$ than Frobenius norm, and the two are only equal when all of the matrix's eigenvalues have equal magnitude.
What is the difference between the Frobenius norm and the 2-norm of a ...
Question: Is there a fully norm-free (and coordinate-free) definition of Fréchet differentiation between finite-dimensional vector spaces?
Yes, as indicated by daw, because your discrete Sobolev norm only includes the values of the function evaluated at the discrete mesh points, it is always possible to construct a nonzero function that has a zero discrete Sobolev norm.
If the space is finite-dimensional, or it is a Hilbert space, the converse is also true: weak convergence+convergence of the norms implies convergence in norm. Are there any other non-trivial examples when this converse implication holds?
I've read the Uniform Norm Wikipedia page, but my most of it went over my head. What is the sup-norm in simple and / or intuitive terms? Are there any good examples which illustrate it?
Definition of $L_\infty$ norm Ask Question Asked 11 years, 9 months ago Modified 8 years, 9 months ago
Not exactly, sorry. I already know it is bounded, all is left is to find/estimate the operator norm more closely
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