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Euclidean Distance Degree and Mixed Volume [PDF]
AbstractWe initiate a study of the Euclidean distance degree in the context of sparse polynomials. Specifically, we consider a hypersurface $$f=0$$ f = 0 defined by a polynomial f that is general given its support, such that the support ...
Breiding, P., Sottile, F., Woodcock, J.
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Euclidean Distance Degree of the Multiview Variety [PDF]
Euclidean distance degree, multiview variety, triangulation problem, non-proper Morse theory, Euler-Poincare characteristic, local Euler ...
Laurentiu Maxim, Botong Wang
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The Euclidean Distance Degree of an Algebraic Variety [PDF]
The nearest point map of a real algebraic variety with respect to Euclidean distance is an algebraic function. For instance, for varieties of low rank matrices, the Eckart-Young Theorem states that this map is given by the singular value decomposition.
Jan Draisma +2 more
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Defect of Euclidean distance degree
Two well studied invariants of a complex projective variety are the unit Euclidean distance degree and the generic Euclidean distance degree. These numbers give a measure of the algebraic complexity for "nearest" point problems of the algebraic variety. It is well known that the latter is an upper bound for the former.
Laurentiu Maxim +2 more
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The euclidean distance degree of orthogonally invariant matrix varieties [PDF]
We show that the Euclidean distance degree of a real orthogonally invariant matrix variety equals the Euclidean distance degree of its restriction to diagonal matrices. We illustrate how this result can greatly simplify calculations in concrete circumstances.
Dmitriy Drusvyatskiy +2 more
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Euclidean Distance Degree in Manifold Optimization
14 ...
Lek-Heng Lim, Ke Ye
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The Euclidean distance degree of Fermat hypersurfaces
Finding the point in an algebraic variety that is closest to a given point is an optimization problem with many applications. We study the case when the variety is a Fermat hypersurface. Our formula for its Euclidean distance degree is a piecewise polynomial whose pieces are defined by subtle congruence conditons.
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Approximating Euclidean distances by small degree graphs [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Finding Optimal Stations Using Euclidean Distance and Adjustable Surrounding Sphere
Air quality monitoring network (AQMN) plays an important role in air pollution management. However, setting up an initial network in a city often lacks necessary information such as historical pollution and geographical data, which makes it challenging ...
Athita Onuean +2 more
doaj +1 more source
The notion of a complex hesitant fuzzy set (CHFS) is one of the better tools in order to deal with complex information. Since distance plays a crucial role in order to differentiate between two things or sets, in this paper, we first develop a priority ...
Muhammad Sajjad Ali Khan +4 more
doaj +1 more source

