- What is the norm of a complex number? [duplicate]
In particular, this "algebraic norm" is not measuring distance, but rather measuring something about the multiplicative behavior of a + bi a + b i That it turns out to be the square of the geometric norm in this case is a deep geometric fact about the geometry of complex numbers
- What is the difference between the Frobenius norm and the 2-norm of a . . .
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 ≤ ≤ than Frobenius norm, and the two are only equal when all of the matrix's eigenvalues have equal magnitude
- Understanding L1 and L2 norms - Mathematics Stack Exchange
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
- How are $C^0,C^1$ norms defined - Mathematics Stack Exchange
How are C0,C1 C 0, C 1 norms defined? I know Lp,L∞ L p, L ∞ norms but are the former defined
- Why is the Frobenius norm of a matrix greater than or equal to the . . .
Why is the Frobenius norm of a matrix greater than or equal to the spectral norm? Ask Question Asked 12 years, 7 months ago Modified 2 years, 11 months ago
- Limit of $L^p$ norm - Mathematics Stack Exchange
Limit of Lp L p norm Ask Question Asked 12 years, 7 months ago Modified 10 months ago
- How to find perpendicular vector to another vector?
A related problem is to construct an algorithm that finds a non-zero perpendicular vector without branching If the input vector is N = (a,b,c), then you could always choose T = (c,c,-a-b) but T will be zero if N=(-1,1,0) You could always check to see if T is zero, and then choose T = (-b-c,a,a) if it is, but this requires a test and branch I can't see how to do this without the test and branch
- Lebesgue integral basics - Mathematics Stack Exchange
I'm having trouble finding a good explanation of the Lebesgue integral As per the definition, it is the expectation of a random variable Then how does it model the area under the curve? Let's tak
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