₆ΛM 3d: Generating uniformly distributed points on a sphere
1. A critical points scheme for Generating uniformly distributed points on a sphere. V=12 ●Icosahedron.
Images to applet: Generating two different uniformly distributed points on a sphere from another uniform distribution.
V=12 Icosahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Icosahedron V=12.
Icosahedron. Vertices 12.
Dodecahedron. Vertices 20.
Icosidodecahedron. Vertices 30.
2. V=4: Tetrahedron
n=4 Tetrahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Regular Tetrahedron V=4.
3. V=6: Octahedron.
V=6 Octahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
4. V=8: Square antiprism.
n=8 Square antiprism(anticube). Images: A critical points scheme for Generating uniformly distributed points on a sphere
5. V=8: Cube.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Cube V=8.
V=8 Cube. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
6. V=12: Cuboctahedron.
V=12 Cuboctahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
7. V=14: Tetrakis hexahedron.
V=14 Tetrakis hexahedron Images: A critical points scheme for Generating uniformly distributed points on a sphere
8. V=20: Dodecahedron.
V=20 Dodecahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
9. V=24: Rhombicuboctahedron.
V=24 Rhombicuboctahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
10. V=30: Icosidodecahedron.
n=30 Icosidodecahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Icosidodecahedron V=30.
●Icosidodecahedron. Vertices 30.
●Pentakis Dodecahedron. Vertices 32.
Generating Elements of mesh modeling the surfaces of a Pentakis Dodecahedron(V=32) and its dual Solid: Truncated Icosahedron(V=60)
Pentakis Dodecahedron(V=32) and its dual image -Truncated Icosahedron(V=60): Coloring the edges and faces
Rhombicosidodecahedron-c. Vertices 60.
Generating Elements of mesh modeling the surfaces of a Rhombicosidodecahedron-c(V=60) and its dual Solid: Deltoidal Hexecontahedron(V=62)
Rhombicosidodecahedron-c(V=60) and its dual image - Deltoidal Hexecontahedron(V=62): Coloring the edges and faces
11. V=60: Biscribed Truncated Icosahedron
Vertices 60. Biscribed Truncated Icosahedron(extreme distribution). Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Biscribed Truncated Icosahedron V=60.
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₆ΛM 3d: Generating uniformly distributed points on a sphere
[b] ΛM -Lagrange Multipliers with One Constraint. Finding Estimators of location on a surface of the sphere as Critical points of the corresponding Lagrangian for a discrete set of points.
There is some uniform distribution of points on the sphere. With respect to the points of some other concentric sphere of radius R, we define the distance function f(φ;θ). That is, the sum of all distances from the points of the selected distribution to the (R;φ;θ)- point on this sphere. The critical points: [color=#c51414]max[/color], [color=#1551b5]min[/color], [color=#0a971e]saddle[/color] points of this function form subsets of new "uniform" distributions. And, obviously, a subset of the points of relative minima coincides with the original distribution.
Critical points can be found using Lagrange multipliers as finding the Extreme values of the function f(x,y,z) subject to a constraining equation g(x,y,z):=x²+y²+z²-R²=0. There is a system of equations: ∇f(x,y,z)= λ∇g(x,y,z). A local optimum occurs when ∇f(x,y,z) and ∇g(x,y,z) are parallel, and so ∇f is some multiple of ∇g. [/b]
*From Book: Extended definitions of point location estimates [url]https://www.geogebra.org/m/hhmfbvde[/url]
From: List of My Public Books on GeoGebra Topics: Constructing polyhedra -https://www.geogebra.org/m/eabstecp
Table of Contents
A critical points scheme for Generating uniformly distributed points on a sphere. V=12 ●Icosahedron.
Images to applet: Generating two different uniformly distributed points on a sphere from another uniform distribution.
V=12 Icosahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Icosahedron V=12.
Icosahedron. Vertices 12.
Dodecahedron. Vertices 20.
Icosidodecahedron. Vertices 30.
V=4: Tetrahedron
n=4 Tetrahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Regular Tetrahedron V=4.
V=6: Octahedron.
V=6 Octahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
V=8: Square antiprism.
n=8 Square antiprism(anticube). Images: A critical points scheme for Generating uniformly distributed points on a sphere
V=8: Cube.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Cube V=8.
V=8 Cube. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
V=12: Cuboctahedron.
V=12 Cuboctahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
V=14: Tetrakis hexahedron.
V=14 Tetrakis hexahedron Images: A critical points scheme for Generating uniformly distributed points on a sphere
V=20: Dodecahedron.
V=20 Dodecahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
V=24: Rhombicuboctahedron.
V=24 Rhombicuboctahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
V=30: Icosidodecahedron.
n=30 Icosidodecahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Icosidodecahedron V=30.
●Icosidodecahedron. Vertices 30.
●Pentakis Dodecahedron. Vertices 32.
Generating Elements of mesh modeling the surfaces of a Pentakis Dodecahedron(V=32) and its dual Solid: Truncated Icosahedron(V=60)
Pentakis Dodecahedron(V=32) and its dual image -Truncated Icosahedron(V=60): Coloring the edges and faces
Rhombicosidodecahedron-c. Vertices 60.
Generating Elements of mesh modeling the surfaces of a Rhombicosidodecahedron-c(V=60) and its dual Solid: Deltoidal Hexecontahedron(V=62)
Rhombicosidodecahedron-c(V=60) and its dual image - Deltoidal Hexecontahedron(V=62): Coloring the edges and faces
V=60: Biscribed Truncated Icosahedron
Vertices 60. Biscribed Truncated Icosahedron(extreme distribution). Images: A critical points scheme for Generating uniformly distributed points on a sphere.
Generating two different uniformly distributed points on a sphere using one uniform distribution: Biscribed Truncated Icosahedron V=60.
1. Vertices 60. Biscribed Truncated Icosahedron(extreme distribution). Images: A critical points scheme for Generating uniformly distributed points on a sphere.
2. Generating two different uniformly distributed points on a sphere using one uniform distribution: Biscribed Truncated Icosahedron V=60.