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Symbolic search space

A trie is a data structure that uses repeated subscripting and is used to enable multiway search. The term comes from the word re/r/eval. It originated in the field of information retrieval and has developed in part because of machine translation. The benefit of using the trie approach is that it helps reduce the number of ways to search. It does this by eliminating impossible cases. (For example, in English words, a q is never followed by anything but a space [Iraq] or the letter u . That involves a considerable reduction from 26 or 27 other letters or space symbol.) Entries in the nodes of a trie are instructions that describe how to proceed further in a symbol-by-symbol search. [Pg.106]

Take the output of ZF or VBLAST as initial input to algorithm instead of keeping random values, such that x. e 0,1. Number of nodes n visited by ants is bxN, i.e ML search space size (jc,). Here Xi represents the bit strings of the detected symbols at the receiver and i= 1 to n. [Pg.121]

The search procedure, S, used to uncover promising hyperrectangles in the decision space, X, associated with a desired y value (e.g., y = good ), is based on symbolic inductive learning algorithms, and leads to the identification of a final number of promising solutions, X, such as the ones in Fig. 2b. It is described in the following subsection. [Pg.112]

Axis-l, axis-2, and axis-3 refer to the Eulerian rotation axes used in the MOLPAK search routines. The unique axis (b) in monoclinic space groups is along axis-3. The various symbols refer to molecules related to the origin molecule by the following operations ... [Pg.193]

In this database, there are lots of query tools. Users could search specified frameworks by choosing space group, number of T-atoms, framework density, unit-cell volume, TD10, framework energy, and cell parameters, etc. Furthermore, other topological parameters, such as vertex symbol and coordination sequences, could also be used to search a framework. [Pg.429]

The basic principles and algorithms implemented in COBRA have been described in Sec. 3.2.1. As already mentioned, COBRA forms the conformational space of a molecule by the combinatorial product of the templates that are assigned to the conformational units. Thus, an internal search tree is set up, where the nodes represent the conformational units. The edges symbolize the connection between the conformational units and the templates. Fig. 21 shows a search tree for a hypothetical molecule consisting of two conformational units A and B. For unit A, three different templates (Al, A2, and A3) have been found in the library and two different templates (B1 and B2) are assigned to unit B. [Pg.186]

Symbolic Representations of Conformation and Their Use in Searching Conformational Space... [Pg.16]

To ease the decision, there are some rules concerning the proper use of icons. Coded symbols - or icons - should be preferred to text either in the car or on the road whenever any of the following conditions apply (1) quick and accurate recognition of a message is necessary, (2) the information includes visual or spatial concepts, (3) the driver will be performing a visual search of alternatives (e.g., motorist services information), (4) the amount of space on the... [Pg.163]


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See also in sourсe #XX -- [ Pg.226 ]




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