Examples of using Hyperplane in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
is the intersection of all the convex sets that cover Q. The convex hull of a set can be equivalently defined to be the set of all convex combinations of points in Q. Supporting hyperplane is a concept in geometry.
In a vector space of finite dimension n, a vector hyperplane is thus a subspace of dimension n- 1.
Basically the method used in this classifier is to find the hyperplane that maximizes the distance between the groups,
There is also the fitness calculation that takes into consideration the difference of the distances between two points in different sets that are closest to the hyperplane.
changing only the concept of geodesic complex by the concept of hyperplane complex.
as the sets of levels of the performance classification label are separable by a hyperplane.
rejection from a vector can be generalized to the notions of projection onto a hyperplane, and rejection from a hyperplane. .
in general, hyperplane) orthogonal to b.
For any compact sets"A"1,…,"An" in R"n" we can always find a hyperplane dividing each of them into two subsets of equal measure.
A particular form is adopted for the hypersurface in the strain space: a hyperplane g? defined by the unit normal N_BAR__BAR_N_BAR__BAR_ 1 and characterized by its dependence of the strain and damage states.
is a hyperplane.
are the parameters of the hyperplane and x{\displaystyle\mathbf{x}}
The GA was used to determine a hyperplane in such a way that in each hyperspace determined would contain only one of the sets of each of the five phases of application at each stage,
then there exists a supporting hyperplane containing x.{\displaystyle x.} The hyperplane in the theorem may not be unique.
The physical plane(also known as a hyperplane), physical world,
very efficient model-based method that takes advantage of the geometric characteristics of the maximum loading hyperplane and uses the load flow with step size optimization to estimate the system¿s proximity to the point of collapse.
if we consider a codimension one foliation that has the hyperplane at in nity invariant
A hyperplane is said to support a set S{\displaystyle S} in the real n-space R n{\displaystyle\mathbb{R}^{n}}
Graphically, these are the infinite affine hyperplane, the infinite hyper-octant,
A hyperplane divides a space into two half-spaces.