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Why do we use the term "singular" to describe singular simplex? Are there any relations between singular matrix (or singular point)and singular simplex?
A singular simplex is a geometric object that is formed by the convex hull of a set of points. It is called singular because it has a unique point, called the apex, which is not contained in any lower-dimensional face of the simplex.
A singular simplex has several important properties, such as being convex, having a unique apex, and having a unique set of vertices. It also has a well-defined volume and is useful in numerical analysis and computational geometry.
Singular simplices have various applications in fields such as computer graphics, computer vision, and data analysis. They are also used in finite element methods for solving partial differential equations and in topological data analysis.
A regular simplex is a special case of a singular simplex where all the points are equidistant from each other. A singular simplex, on the other hand, can have points at different distances from each other, and it has a unique apex, unlike a regular simplex which has no apex.
One of the main challenges when working with singular simplices is the computation of their volume, as it requires complex mathematical algorithms. Another challenge is the representation of singular simplices in higher dimensions, which can be difficult to visualize and manipulate.