Examples of using N-dimensional in English and their translations into Serbian
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The number of vertices of an n-dimensional hypercube is 2n.
In n-dimensional space, Maxwell-Boltzmann distribution becomes.
Space-time can be interpreted as the surface of an n-dimensional superfluid.
The set of all bases of an n-dimensional vector space V can be described in the following way.
If you imagine our three-space as the surface of an N-dimensional superfluid bubble.
Multi-variable or n-dimensional recurrence relations are about n-dimensional grids.
The core functionality of NumPy is its"ndarray", for n-dimensional array, data structure.
Calculating the corresponding n-dimensional Feynman path integrals and corrections of standard phenomenological quantities.
This can be generalized to create n coordinates for any point in n-dimensional Euclidean space.
Similarly, the number of(n- 1)-faces of an n-dimensional cross-polytope is also 2n and the formula for the number of x-faces an n-dimensional cross-polytope has is 2 x( n x){\displaystyle\scriptstyle 2^{x}{n\choose x}}.
In mathematics(and physics)a sequence of n numbers can be understood as a location in an n-dimensional space.
For n individual sequences, the naive method requires constructing the n-dimensional equivalent of the matrix formed in standard pairwise sequence alignment.
It describes a new model of the universe that conceptualizes it as the surface of an n-dimensional superfluid.
The position of an n-dimensional rigid body is defined by the rigid transformation,=,where d is an n-dimensional translation and A is an n× n rotation matrix, which has n translational degrees of freedom and n(n- 1)/2 rotational degrees of freedom.
In physics and mathematics, a string of N numbers, all in a row,can be understood to be a location in an N-dimensional space….
In geometry, the Klein model, also called the projective model, the Beltrami-Klein model, the Klein-Beltrami model and the Cayley-Klein model,is a model of n-dimensional hyperbolic geometry in which the points of the geometry are in an n-dimensional disk, or ball, and the lines of the geometry are line segments contained in the disk; that is, with endpoints on the boundry of the disk.
On the other hand, a set may have topological dimension less than n andhave positive n-dimensional Lebesgue measure.
The trace is a map of Lie algebras tr: g l n→ K{\ displaystyle\ operatorname{ tr}:{\ mathfrak{ gl}}_{ n}\ to K} from the Lie algebra g l n{\ displaystyle{\ mathfrak{ gl}}_{ n}}of linear operators on an n-dimensional space( n× n matrices with entries in K{\ displaystyle K}) to the Lie algebra K of scalars; as K is Abelian( the Lie bracket vanishes), the fact that this is a map of Lie algebras is exactly the statement that the trace of a bracket vanishes.
If a subset of Rn has Hausdorff dimension less than n then it is a null set with respect to n-dimensional Lebesgue measure.
Central to this approach is the view of the set of all executions of a statement within n loops as a set of integer points in an n-dimensional space, with the points being executed in lexicographical order.
In 1989, based on Carrillo-Lipman Algorithm,Altschul introduced a practical method that uses pairwise alignments to constrain the n-dimensional search space.
In this approach pairwise dynamic programming alignments are performed on each pair of sequencesin the query set, and only the space near the n-dimensional intersection of these alignments is searched for the n-way alignment.
We could choose this subset arbitrarily, but if we're going to want a reconstruction formula R that is also a linear map,then we have to choose an n-dimensional linear subspace of L 2{\displaystyle L^{2}}.
Their disadvantages include the need for multiple chained pointer indirections to access an element, andthe extra work required to determine the next row in an n-dimensional array to allow an optimising compiler to prefetch it.