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A numeric character reference refers to a character by its Universal Character Set/Unicode code point, and a character entity reference refers to a character by a predefined name. A numeric character reference uses the format &#nnnn; or &#xhhhh; where nnnn is the code point in decimal form, and hhhh is the code point in hexadecimal form.
Several standards exist for these sequences, notably ANSI X3.64, but the number of non-standard variations is large. All entries in the ASCII table below code 32 10 (technically the C0 control code set) are of this kind, including CR and LF used to separate lines of text. The code 127 10 is also a control character.
Linear interpolation on a data set (red points) consists of pieces of linear interpolants (blue lines). Linear interpolation on a set of data points (x 0, y 0), (x 1, y 1), ..., (x n, y n) is defined as piecewise linear, resulting from the concatenation of linear segment interpolants between each pair of data points.
In many cases, a single hard-coded value, such as an array size, may appear several times within the source code of a program. This would be a magic number. This may commonly cause a program bug if some of the appearances of the value are modified, but not all of them. Such a bug is hard to find and may remain in the program for a long time.
Constructive solid geometry has a number of practical uses. It is used in cases where simple geometric objects are desired, [ citation needed ] or where mathematical accuracy is important. [ 4 ] Nearly all engineering CAD packages use CSG (where it may be useful for representing tool cuts, and features where parts must fit together).
Input = a set S of n points Assume that there are at least 2 points in the input set S of points function QuickHull(S) is // Find convex hull from the set S of n points Convex Hull := {} Find left and right most points, say A & B, and add A & B to convex hull Segment AB divides the remaining (n − 2) points into 2 groups S1 and S2 where S1 are points in S that are on the right side of the ...
If you simply divide the numbers by 16 and take the remainder, you will find that the numbers 0–3 occur about 17% more often than others. This is because 16 does not evenly divide 100: the largest multiple of 16 less than or equal to 100 is 6×16 = 96, and it is the numbers in the incomplete range 96–99 that cause the bias.
Unlike the product of numbers, matrix products are not commutative, that is to say AB need not be equal to BA. [2] A number of notions are concerned with the failure of this commutativity. An inverse of square matrix A is a matrix B (necessarily of the same dimension as A) such that AB = I. Equivalently, BA = I. An inverse need not exist.