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- этимология
Что (кто) такое nonuniform$53657$ - определение
COMPUTATIONAL COMPLEXITY CLASS OF PROBLEMS SOLVABLE BY A DETERMINISTIC TURING MACHINE IN POLYNOMIAL TIME
PTIME; Nonuniform polynomial-time; Nonuniform polynomial time; AL (complexity); P (complexity class); Complexity class P; P-hard; P (class)
![PH]], and [[PSPACE]]](https://commons.wikimedia.org/wiki/Special:FilePath/Complexity-classes-polynomial.svg?width=200 "PH]], and [[PSPACE]]")
![PP]]), allwithin [[PSPACE]]. It is unknown if any of these containments are strict.](https://commons.wikimedia.org/wiki/Special:FilePath/Randomised Complexity Classes 2.svg?width=200 "PP]]), allwithin [[PSPACE]]. It is unknown if any of these containments are strict.")
Nonuniform sampling
GENERALIZATIONS OF NYQUIST-SHANNON SAMPLING THEOREM FOR RECONSTRUCTING SIGNALS
Non uniform sampling; Non-uniform sampling
Nonuniform sampling is a branch of sampling theory involving results related to the Nyquist–Shannon sampling theorem. Nonuniform sampling is based on Lagrange interpolation and the relationship between itself and the (uniform) sampling theorem.
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time.
Non-uniform rational B-spline
![NURBS have the ability to exactly describe circles. Here, the black triangle is the control polygon of a NURBS curve (shown at w=1). The Blue dotted line shows the corresponding control polygon of a B-spline curve in 3D [[homogeneous coordinates]], formed by multiplying the NURBS by the control points by the corresponding weights. The blue parabolas are the corresponding B-spline curve in 3D, consisting of three parabolas. By choosing the NURBS control points and weights, the parabolas are parallel to the opposite face of the gray cone (with its tip at the 3D origin), so dividing by ''w'' to project the parabolas onto the ''w''=1 plane results in circular arcs (red circle; see [[conic section]]).](https://commons.wikimedia.org/wiki/Special:FilePath/NURBS-circle-3D.svg?width=200 "NURBS have the ability to exactly describe circles. Here, the black triangle is the control polygon of a NURBS curve (shown at w=1). The Blue dotted line shows the corresponding control polygon of a B-spline curve in 3D [[homogeneous coordinates]], formed by multiplying the NURBS by the control points by the corresponding weights. The blue parabolas are the corresponding B-spline curve in 3D, consisting of three parabolas. By choosing the NURBS control points and weights, the parabolas are parallel to the opposite face of the gray cone (with its tip at the 3D origin), so dividing by ''w'' to project the parabolas onto the ''w''=1 plane results in circular arcs (red circle; see [[conic section]]).")
![animated creation of a NURBS spline]].)](https://commons.wikimedia.org/wiki/Special:FilePath/NURBstatic.svg?width=200 "animated creation of a NURBS spline]].)")
![spline as a mathematical concept]]](https://commons.wikimedia.org/wiki/Special:FilePath/Spline (PSF).png?width=200 "spline as a mathematical concept]]")
MATHEMATICAL MODEL
Nurbs; NURBS; NURBS curve; NURBS patch; NURB; NURBS Curve; Nurbs curve; NURBS Surface; Nurbs surface; NURBS surface; Nonuniform rational B-spline
Non-uniform rational basis spline (NURBS) is a mathematical model using basis splines (B-splines) that is commonly used in computer graphics for representing curves and surfaces. It offers great flexibility and precision for handling both analytic (defined by common mathematical formulae) and modeled shapes.
Википедия
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time.
Cobham's thesis holds that P is the class of computational problems that are "efficiently solvable" or "tractable". This is inexact: in practice, some problems not known to be in P have practical solutions, and some that are in P do not, but this is a useful rule of thumb.
