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In flat organizations, the number of people directly supervised by each manager is large, and the number of people in the chain of command above each person is small. [2] A manager in a flat organization possesses more responsibility than a manager in a tall organization because there is a greater number of individuals immediately below them who are dependent on direction, help, and support.
A geometry: it is equipped with a metric and is flat. A topology: there is a notion of open sets. There are interfaces among these: Its order and, independently, its metric structure induce its topology. Its order and algebraic structure make it into an ordered field.
Flattenability in some -dimensional normed vector space is a property of graphs which states that any embedding, or drawing, of the graph in some high dimension ′ can be "flattened" down to live in -dimensions, such that the distances between pairs of points connected by edges are preserved.
The set of diffeomorphisms of M that preserve a G-structure is called the automorphism group of that structure. For an O(n)-structure they are the group of isometries of the Riemannian metric and for an SL(n,R)-structure volume preserving maps. Let P be a G-structure on a manifold M, and Q a G-structure on a manifold N.
In a "flat" design, only primitives are instanced. Hierarchical designs can be recursively "exploded" ("flattened") by creating a new copy (with a new name) of each definition each time it is used. If the design is highly folded, expanding it like this will result in a much larger netlist database, but preserves the hierarchy dependencies.
The contraction hierarchies (CH) algorithm is a two-phase approach to the shortest path problem consisting of a preprocessing phase and a query phase.As road networks change rather infrequently, more time (seconds to hours) can be used to once precompute some calculations before queries are to be answered.
In the computational complexity theory, the low hierarchy and high hierarchy of complexity levels were introduced in 1983 by Uwe Schöning to describe the internal structure of the complexity class NP. [1] The low hierarchy starts from complexity class P and grows "upwards", while the high hierarchy starts from class NP and grows "downwards". [2]
A monad's first transformation is actually the same unit from the Kleisli triple, but following the hierarchy of structures closely, it turns out unit characterizes an applicative functor, an intermediate structure between a monad and a basic functor.