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Variables string

Stookey s reflection on a lifetime s industrial research is An industrial researcher must bring together the many strings of a complex problem to bring it to a conclusion, to my mind a more difficult and rewarding task than that of the academic researcher who studies one variable of an artificial system . [Pg.384]

Formatted I/O statements require edit specifiers (see Table 1-26 for list) for each variable to be handled and may also include strings of characters enclosed in single quote marks. The formal may be given in a separate format statement (referenced by a line number and labeled) or, in many systems, may be enclosed in quotes and parentheses in the I/O statement itself. The general form for formatted I/O statements is... [Pg.117]

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]

Consider an arbitrary set of Boolean input values, Xi,..., Xn- Using only the Boolean operators AND and NOT, we can write down an expre.ssion which takes the value 1 if and only if a particular configuration of O s and I s appears in the input. Suppose that n = 6 and we want to construct an expression that equals one if and only if xi = X3 = X4 = X5 = 1 and. X2 = xe = 0. A little thought will show that the required expression is given by joining the string of six Boolean variables with the AND operator, substituting NOT(xi) for all values x)i that are required to equal zero ... [Pg.312]

In the snail preceedlng example it can be seen that each data set consists of three fields enclosed by square brackets. The first field is the variable name, the second is the value for that variable, and the third is an optional units field. All fields are read as string variables and the value field is changed to a numeric variable when necessary. The order in which the data sets appear is not Important, nor is their position in... [Pg.15]

In this chapter difference schemes for the simplest time-dependent equations are studied, namely, for the heat conduction equation with one or more spatial variables, the one-dimensional transfer equation and the equation of vibrations of a string. Two-layer and three-layer schemes are designed for the first, second and third boundary-value problems. Stability is investigated by different methods such as the method of separation of variables and the method of energy inequalities as well as by means of the maximum principle. Asymptotic stability of difference schemes is discovered for the heat conduction equation in ascertaining the viability of difference approximations. Finally, stability theory is being used, increasingly, to help us understand a variety of phenomena, so it seems worthwhile to discuss it in full details. [Pg.299]

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]

Clinical trial data come to the statistical programmer in two basic forms numeric variables and character string (text) variables. With this in mind, there are two considerations for all numeric and text variables. All data should be cleaned if they are needed for analyses, and any data entered asfree-text variables should be coded or categorized if they are needed for analyses. [Pg.20]

The quantity c = y/rjp is known as the jjjia e velocity, It is the speed a which waves travel along the string. Clearly, the left-hand side of Eq, (4) represents the one-dimensional Laplacian operating on the dependent variable. This expression can be easily generalized to represent wave phenomena in two or more dimensions in space. [Pg.66]

The algorithm searches during a GA run for the fittest possible string. The fitness function defines a surface across which this search takes place (Figure 5.9) the surface is usually of considerable complexity because it is a function of all the variables that comprise the GA string. [Pg.122]

Such a string may be useful when two types of variables independently affect the quality of a solution. Suppose that an analytical laboratory monitors the air quality at a downtown site, measuring the level of fifteen different pollutants. A theoretical model is established that links the amount of these pollutants measured at the monitoring point with the amounts of each pollutant released at twenty different sites around the city. Because there are fifteen pollutants and twenty pollution sources, a 15 x 20 matrix is required to model the problem and GA strings can be constructed in this form. [Pg.147]

We extend the definition of a pushdown store variable to allow functions FUSH(u,w) for any string w over the pushdown store vocabulary F obviously that can be simulated by w instructions of the form FUSH(u,A). ... [Pg.300]

The function ng 1m, m accepts the parameters p, the independent variables x, the measurements y and additionally the string fhame, which contains the name of the function file that determines the residuals based on the model. If a different model is to be fitted, all that needs to be done is to replace fname in the calling routine, and, of course, supplying the function with that new name. Importantly, nglm. m is not affected at all. [Pg.158]


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See also in sourсe #XX -- [ Pg.152 ]




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Strings, Numbers, and Variables

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