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STRING ASSIGN

Figure 5.13 Top-level synthesized circuits for the architectures (a) SIMPLE (b) STRING ASSIGN, AGGREGATE, ASYNCJF I, ASYNCJF2 and SYNC.WAIT. Figure 5.13 Top-level synthesized circuits for the architectures (a) SIMPLE (b) STRING ASSIGN, AGGREGATE, ASYNCJF I, ASYNCJF2 and SYNC.WAIT.
The optimized circuits for STRING ASSIGN, AGGREGATE and SYNC WAIT are (thankfully ) identical and shown in Figure 5.18. This shows... [Pg.133]

WRITE(variable list) —Can also output a character string by placing it, enclosed by single quotes, inside the parentheses a field (a format for output) may be assigned to a data item as... [Pg.128]

Its virtue is its ability to assign a measure of complexity to an individual string, without having to resort to ensembles or probabilities. Its main drawback is that it is typically very hard to calculate exactly. Nonetheless it can be estimated for most systems relatively easily. [Pg.625]

In addition to having to assign state variables to the strings of the DDF, we also have to assign properties to the alphabet symbols. In our flowshop example, the alphabet symbols can be interpreted as batches to be executed with a series of processing times. Thus, if we use the notation, (jc), to denote the state of partial solution, x, then... [Pg.287]

In Section II, we presented the computational model involved in branching from a node, cr, to a node aa,. In this model, it was necessary to interpret the alphabet symbol a, and ascribe it to a set of properties. In the same way, we have to interpret o- as a state of the flowshop, and for convenience, we assigned a set of state variables to tr that facilitated the calculation of the lower-bound value and any existing dominance or equivalence conditions. Thus, we must be able to manipulate the variable values associated with state and alphabet symbols. To do this, we can use the distinguishing feature of first-order predicates, i.e., the ability to parameterize over their arguments. We can use two place predicates, or binary predicates, where the first place introduces a variable to hold the value of the property and the second holds the element of the language, or the string of which we require the value. Thus, if we want to extract the lower bound of a state o-, we can use the predicate Lower-bound Ig [cr]) to bind Ig to the value of the lower bound of cr. This idea extends easily to properties, which are indexed by more than just the state itself, for example, unit-completion-times, v, which are functions of both the state and a unit... [Pg.304]

First of all, the shortest fragments in both b- and y-ion series should be available. Such ions can be used to assign the sequence strings to either N- or C-terminal ion... [Pg.205]

The idea behind the use of chemical labeling is a straightforward approach to simplify peak assignment into the proper ion series. If either peptide s C- or N-terminus is labeled by specific isotopic cluster, the labeled ions are easily recognizable on the spectrum and determination of the sequence string is no longer a problem. [Pg.209]

To calculate the value of for trichloroethylene (SMILES String C1C(C1)=CC1), you must first draw out its hydrogen suppressed structure and assign delta values to each of its atoms, as shown below. For 1%, the delta value for each atom is equal to the number of atoms it is bonded to. [Pg.200]

If descriptor combinations are expressed as bit strings (often called fingerprints, as described in more detail later on), each test molecule is assigned a characteristic bit pattern, and pair-wise molecular similarity can be assessed by quantifying the overlap of bit strings using various similarity metrics (coefficients). Examples are shown in Table 1.4. [Pg.8]


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See also in sourсe #XX -- [ Pg.113 ]




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