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In the lambda calculus, x is a bound variable in the term M = λx. T and a free variable in the term T. We say x is bound in M and free in T. If T contains a subterm λx. U then x is rebound in this term. This nested, inner binding of x is said to "shadow" the outer binding. Occurrences of x in U are free occurrences of the new x. [3]
FuzzyCLIPS is a fuzzy logic extension of the CLIPS (C Language Integrated Production System) expert system shell from NASA.It was developed by the Integrated Reasoning Group of the Institute for Information Technology of the National Research Council of Canada and has been widely distributed for a number of years.
Breakbulk continues to hold an advantage in areas where port development has not kept pace with shipping technology; break-bulk shipping requires relatively minimal shore facilities—a wharf for the ship to tie to, dock workers to assist in unloading, warehouses to store materials for later reloading onto other forms of transport.
ISO 6346 is an international standard covering the coding, identification and marking of intermodal (shipping) containers used within containerized intermodal freight transport by the International Organization for Standardization (ISO). [1]
A clockwork device used aboard a warship to continuously calculate the distance or range to an enemy ship. range lights See leading lights. rating. Also rate or bluejacket. 1. In British usage, a junior enlisted member of a country's navy; i.e., any member of the navy who is not an officer or warrant officer. 2.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
In coding theory, the Gilbert–Varshamov bound (due to Edgar Gilbert [1] and independently Rom Varshamov [2]) is a bound on the size of a (not necessarily linear) code. It is occasionally known as the Gilbert– Shannon –Varshamov bound (or the GSV bound ), but the name "Gilbert–Varshamov bound" is by far the most popular.
The cost of the solution produced by the algorithm is within 3/2 of the optimum. To prove this, let C be the optimal traveling salesman tour. Removing an edge from C produces a spanning tree, which must have weight at least that of the minimum spanning tree, implying that w(T) ≤ w(C) - lower bound to the cost of the optimal solution.