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Odile the Black Swan-Voronoi style

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Odile the Black Swan-Voronoi style
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Odile the Black Swan-Voronoi style
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Odile the Black Swan-Voronoi style _Designed by baykush (http://www.thingiverse.com/thing:820741/#files ) _***Odile, the black swan maiden and the secondary antagonist in Tchaikovsky's "Swan Lake". Her opposite is Odette, the white swan maiden, who is the heroine of the ballet while Odile is the antagonist. Odile is the daughter of Von Rothbart, who is willing to follow in her father's footsteps.She only appears in the third act, dressed in black and magically disguised as Odette in order to help her father trick Siegfried into breaking his vow of love to Odette. _***Swan Lake , Op. 20, is a ballet composed by Pyotr Ilyich Tchaikovsky in 1875–76. The scenario, initially in two acts, was fashioned from Russian folk tales[a] and tells the story of Odette, a princess turned into a swan by an evil sorcerer's curse. The choreographer of the original production was Julius Reisinger. The ballet was premiered by the Bolshoi Ballet on 4 March [O.S. 20 February] 1877at the Bolshoi Theatre in Moscow. Although it is presented in many different versions, most ballet companies base their stagings both choreographically and musically on the 1895 revival of Marius Petipa and Lev Ivanov, first staged for the Imperial Ballet on 15 January 1895, at the Mariinsky Theatre in St. Petersburg. For this revival, Tchaikovsky's score was revised by the St. Petersburg Imperial Theatre's chief conductor and composer Riccardo Drigo. _In mathematics, a Voronoi diagram is a partitioning of a plane into regions based on 'closeness' to points in a specific subset of the plane. That set of points (called seeds, sites, or generators) is specified beforehand, and for each seed there is a corresponding region consisting of all points closer to that seed than to any other. These regions are called Voronoi cells. The Voronoi diagram of a set of points is dual to its Delaunay triangulation.It is named after Georgy Voronoy, and is also called a Voronoi tessellation, a Voronoi decomposition, a Voronoi partition, or a Dirichlet tessellation (after Peter Gustav Lejeune Dirichlet). Voronoi diagrams have practical and theoretical applications to a large number of fields, mainly in science and technology but even including visual art. _In the simplest and most familiar case (shown in the first picture), we are given a finite set of points {p1, …, pn} in the Euclidean plane. In this case each site pk is simply a point and its corresponding Voronoi cell (also called Voronoi region or Dirichlet cell) Rk consisting of every point whose distance to pk is less than or equal to its distance to any other site. Each such cell is obtained from the intersection of half-spaces, and hence it is a convex polygon. The segments of the Voronoi diagram are all the points in the plane that are equidistant to the two nearest sites. The Voronoi vertices (nodes) are the points equidistant to three (or more) sites. _Voronoi diagrams are also related to other geometric structures such as the medial axis (which has found applications in image segmentation, optical character recognition, and other computational applications), straight skeleton, and zone diagrams. Besides points, such diagrams use lines and polygons as seeds. By augmenting the diagram with line segments that connect to nearest points on the seeds, a planar subdivision of the environment is obtained.This structure can be used as a navigation mesh for path-finding through large spaces. The navigation mesh has been generalized to support 3D multi-layered environments, such as an airport or a multi-storey building. _ Voronoi diagrams find widespread applications in areas such as computer graphics, epidemiology, geophysics, and meteorology.
Additional Information

Additional Information

SKU 10001462
Length [mm] 120
Width [mm] 63.97
Height [mm] 108.12
Volume [cm³] 27.02
Area [cm²] 408.15
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