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V=12 Cuboctahedron. Images: A critical points scheme for Generating uniformly distributed points on a sphere
Autor:
Roman Chijner
Tema:
Álgebra
,
Cálculo
,
Círculo
,
Diferencia y pendiente
,
Cálculo diferencial
,
Ecuación diferencial
,
Ecuaciones
,
Problemas de Optimización
,
Geometría
,
Gráfica de Funciones
,
Intersección
,
Programación Lineal
,
Matemática
,
Esfera
,
Superficie
,
Vectores
A system of points on a sphere S of radius R “induces” on the sphere S
0
of radius R
0
three different sets of points, which are
geometric medians (GM)
-local
maxima
,
minima
and
saddle
points sum of distance function f(x). The angular coordinates of the spherical distribution of a system of points -
local minima
coincide with the original system of points.
Distribution of points Pi
,
test Point
,
Max
/
min
/
saddle
-
Critical points
on a sphere. Vectors ∇f and ∇g at these points. ● max Tetrakis hexahedron:
n=14
●
min Cuboctahedron:
n=12
●
sad Rhombicuboctahedron:
n=24
Distribution of points Pi
,
test Point
,
Max
/
min
/
saddle
-
Critical points
on a sphere. Vectors ∇f and ∇g at these points. ● max Tetrakis hexahedron:
n=14
●
min Cuboctahedron:
n=12
●
sad Rhombicuboctahedron:
n=24
Two-variable function f(φ,θ) over a rectangular region: - π ≤φ ≤ π; -π/2≤θ≤π/2.
Isolines and Intersection points of implicit functions over a rectangular region: - π ≤φ ≤ π; -π/2≤θ≤π/2.
Critical Points
Nuevos recursos
Dodecahedron
Average Rate of Change: Graph a Function (1)
alg2_05_05_01_applet_exp_flvs
Parallelograms: Quick Investigation
Icosahedron1
Descubrir recursos
fourth shape - core connections course 3
Lesson 12-3
mini
Project 2
cube g 11
Descubre temas
Romboide
Sólidos
Gráfico Circular
Figuras planas
Características estadísticas