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new control structures (example: looping constructs, branching constructs) scoping and binding constructs; simplified syntax for complex and repeated source code; top-level defining forms with compile-time side-effects; data-driven programming; embedded domain specific languages (examples: SQL, HTML, Prolog) implicit finalization forms
In numerical analysis, the ITP method (Interpolate Truncate and Project method) is the first root-finding algorithm that achieves the superlinear convergence of the secant method [1] while retaining the optimal [2] worst-case performance of the bisection method. [3]
In the IEEE standard the base is binary, i.e. =, and normalization is used.The IEEE standard stores the sign, exponent, and significand in separate fields of a floating point word, each of which has a fixed width (number of bits).
[1] [2] The term truncation comes from the fact that these simplifications often involve the truncation of an infinite series expansion so as to make the computation possible and practical. Examples [ edit ]
Truncation of positive real numbers can be done using the floor function.Given a number + to be truncated and , the number of elements to be kept behind the decimal point, the truncated value of x is
Truncation can be applied to any probability distribution.This will usually lead to a new distribution, not one within the same family. Thus, if a random variable X has F(x) as its distribution function, the new random variable Y defined as having the distribution of X truncated to the semi-open interval (a, b] has the distribution function
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:
The bridge pattern is often confused with the adapter pattern, and is often implemented using the object adapter pattern; e.g., in the Java code below. Variant: The implementation can be decoupled even more by deferring the presence of the implementation to the point where the abstraction is utilized.