Results 101 to 110 of about 1,230 (193)
Application of hyperplane arrangements to weight enumeration
Many research in coding theory is focussed on linear error-correcting codes. Since these codes are subspaces, linear algebra plays a prominent role in studying them.
Jurrius, RPMJ Relinde +3 more
core
The facial weak order on hyperplane arrangements
We extend the facial weak order from finite Coxeter groups to central hyperplane arrangements. The facial weak order extends the poset of regions of a hyperplane arrangement to all its faces.
Hohlweg, Christophe +3 more
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Point Location in Arrangements of Hyperplanes
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine. [PDF]
Wajeed MA +6 more
europepmc +1 more source
Hyperplane arrangements of Torelli type
International audienceWe give a necessary and sufficient condition in order for a hyperplane arrangement to be of Torelli type, namely that it is recovered as the set of unstable hyperplanes of its Dolgachev sheaf of logarithmic differentials ...
Matei, Daniel +2 more
core
Hyperplane arrangements, interval orders, and trees. [PDF]
Stanley RP.
europepmc +1 more source
Hyperplane arrangements of Torelli type
We give a necessary and sufficient condition in order for a hyperplane arrange-ment to be of Torelli type, namely that it is recovered as the set of unstable hyperplanes of its Dolgachev sheaf of logarithmic differentials.
Daniel Matei +2 more
core
Deformations of Coxeter hyperplane arrangements and their characteristic polynomials
Let A be a Coxeter hyperplane arrangement, that is the arrangement of reflecting hyperplanes of an irreducible finite Coxeter group. A deformation of A is an affine arrangement each of whose hyperplanes is parallel to some hyperplane of A. We survey some
Christos A. Athanasiadis
core
A step in the Delaunay mosaic of order k. [PDF]
Edelsbrunner H, Nikitenko A, Osang G.
europepmc +1 more source
Using machine learning-based binary classifiers for predicting organizational members' user satisfaction with collaboration software. [PDF]
Feng Y, Park J.
europepmc +1 more source

