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Flattening is a measure of the compression of a circle or sphere along a diameter to form an ellipse or an ellipsoid of revolution respectively. Other terms used are ellipticity , or oblateness . The usual notation for flattening is f {\displaystyle f} and its definition in terms of the semi-axes a {\displaystyle a} and b {\displaystyle b} of ...
The flattening transformation is an algorithm that transforms nested data parallelism into flat data parallelism. It was pioneered by Guy Blelloch as part of the NESL programming language. [ 1 ] The flattening transformation is also sometimes called vectorization , but is completely unrelated to automatic vectorization .
This is an accepted version of this page This is the latest accepted revision, reviewed on 28 January 2025. Manufacturing processes This section does not cite any sources.
If the pasta dries too fast, it may crack during or after the drying process and acquire a poor appearance and lowered mechanical strength. If the pasta dries too slowly, it may spoil and become moldy. Thus, the drying process must be carefully executed in order to avoid the two aforementioned consequences.
In multilinear algebra, mode-m flattening [1] [2] [3], also known as matrixizing, matricizing, or unfolding, [4] is an operation that reshapes a multi-way array into a matrix denoted by [] (a two-way array). Matrixizing may be regarded as a generalization of the mathematical concept of vectorizing.
In manufacturing and mechanical engineering, flatness is an important geometric condition for workpieces and tools.Flatness is the condition of a surface or derived median plane having all elements in one plane.
A meat tenderizer or meat pounder is a tool for mechanically tenderizing and flattening slabs of meat. [1] Meat tenderizers come in at least three types: [1] The first, most common, is a tool that resembles a hammer or mallet made of metal or wood with a short handle and dual heads. One face of the tool is usually flat while the other has rows ...
Folds can be regarded as consistently replacing the structural components of a data structure with functions and values. Lists, for example, are built up in many functional languages from two primitives: any list is either an empty list, commonly called nil ([]), or is constructed by prefixing an element in front of another list, creating what is called a cons node ( Cons(X1,Cons(X2,Cons ...
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