Search results
Results From The WOW.Com Content Network
After flattening, arrays are represented as single-dimensional value vector V containing scalar elements, alongside auxiliary information recording the nested structure, typically in the form of a boolean flag vector F. The flag vector indicates, for the corresponding element in the value vector, whether it is the beginning of a new segment.
Julia has the vec(A) function as well. In Python NumPy arrays implement the flatten method, [ note 1 ] while in R the desired effect can be achieved via the c() or as.vector() functions. In R , function vec() of package 'ks' allows vectorization and function vech() implemented in both packages 'ks' and 'sn' allows half-vectorization.
There are three variants: the flattening , [1] sometimes called the first flattening, [2] as well as two other "flattenings" ′ and , each sometimes called the second flattening, [3] sometimes only given a symbol, [4] or sometimes called the second flattening and third flattening, respectively.
An array data structure can be mathematically modeled as an abstract data structure (an abstract array) with two operations get(A, I): the data stored in the element of the array A whose indices are the integer tuple I. set(A, I, V): the array that results by setting the value of that element to V. These operations are required to satisfy the ...
A function that is flat at is not analytic at unless it is constant in a neighbourhood of (since an analytic function must equals the sum of its Taylor series). An example of a flat function at 0 is the function such that f ( 0 ) = 0 {\displaystyle f(0)=0} and f ( x ) = e − 1 / x 2 {\textstyle f(x)=e^{-1/x^{2}}} for x ≠ 0. {\displaystyle x ...
According to Vox, in order to move away from social distancing and return to normal, the US needed to flatten the curve by isolation and mass testing, and to raise the line. [17] Vox encouraged building up health care capability including mass testing, software and infrastructures to trace and quarantine infected people, and scaling up cares ...