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Operators numeric comparison

Perl has a complete set of comparison operators that work on numbers and strings. To compare numbers, use any of the operators shown in Table 17.1. To compare strings, use any of the operators shown in Table 17.2. The numeric comparison operators are straightforward because they look, for the most part, like conventional expressions used in algebra. The big trap is the == operator that is used to test the equality of two numbers. Two equal signs are used instead of just one. [Pg.426]

Well-designed QSRR studies are helpful in identifying these structural features within a family of analytes which affect retention in a given separation system. That, in turn, helps to explain the molecular mechanism of retention operating in the system. With a carefully designed test series of analytes the QSRR derived provide an objective, numerical comparison of individual separation systems. This is especially useful to quantitatively compare various stationary phase materials. [Pg.539]

Porteus, E. 1985. Numerical comparisons of inventory policies for periodic review systems. Operations Research. 33(1) 134 152. [Pg.172]

If improvement in precision is claimed for a set of measurements, the variance for the set against which comparison is being made should be placed in the numerator, regardless of magnitude. An experimental F smaller than unity indicates that the claim for improved precision cannot be supported. The technique just given for examining whether the precision varies with the two different analytical procedures, also serves to compare the precision with different materials, or with different operators, laboratories, or sets of equipment. [Pg.204]

In the numerator we have the speed and the flow. If we were comparing similar pumps into an application, these multiplied numbers would mostly be a constant. In the denominator we have the NPSHr of the pump (or competing pumps under comparison for an application). As the NPSHr of the pump goes down, the Nss value rises. As the Nss value increases, the operating window of the pump narrows. [Pg.68]

Figure 1 Liquid Residence time distribution comparison - Experimental vs Numerical (a) counter-current operation Liquid flowrate l.SLmm (b) counter-current operation Liquid flowrate 3Lmin (c) co-current operation Liquid flowrate 1.5Lmm (d) co-current operation Liquid flowrate 3Lmm ... Figure 1 Liquid Residence time distribution comparison - Experimental vs Numerical (a) counter-current operation Liquid flowrate l.SLmm (b) counter-current operation Liquid flowrate 3Lmin (c) co-current operation Liquid flowrate 1.5Lmm (d) co-current operation Liquid flowrate 3Lmm ...
Figure 2 Gas Residence time distribution comparison - Experimental vs Numerical (a) counter-current operation (b) co-current operation. Figure 2 Gas Residence time distribution comparison - Experimental vs Numerical (a) counter-current operation (b) co-current operation.
Figure 27 shows a comparison of Wirth s correlation with experimental data for particles of various materials and diameter, in FFBs operating at various pressures. While the log-log plot submerges numerical differences, the agreement is generally good. [Pg.199]

Table 4.111 displays examples of ageing and chemical property ranges for some TPEs. These comparisons are very schematic and cannot be used for designing. Ozone resistance is a specific property of rubbers used in numerous specifications. The rating system is the same as previously 5 is always attributed to the most attractive materials. These general indications should be verified by consultation with the producer of the selected grades and by tests under operating conditions. [Pg.656]

Figure 4.59 presents the results obtained when the basic system, containing G6PDH and GR, was operated as a fed-batch reactor in the configuration described in Figure 4.58. For comparison, the results of pertinent numerical simulations are also shown. It can be seen that the signal obtained in the experimental system indeed follows the characteristic course shown by the signal calculated, but the actual numerical values are different. This dissimilarity has been attributed to inhibition effects in the reactions involved, effects that were not considered in the calculations. Therefore, a search for potential inhibitors was undertaken. Figure 4.59 presents the results obtained when the basic system, containing G6PDH and GR, was operated as a fed-batch reactor in the configuration described in Figure 4.58. For comparison, the results of pertinent numerical simulations are also shown. It can be seen that the signal obtained in the experimental system indeed follows the characteristic course shown by the signal calculated, but the actual numerical values are different. This dissimilarity has been attributed to inhibition effects in the reactions involved, effects that were not considered in the calculations. Therefore, a search for potential inhibitors was undertaken.
When examined together, these values provide mathematical profiles of the drugs we studied and allow numerically precise comparisons with other agents. The use of operational definitions not only makes it simpler to characterize a drug, but allows accurate predictions of its effects at various doses. Obviously, such predictions have practical as well as academic significance. [Pg.273]

A different way, developed extensively by Schwartz and his coworkeis, - is to use approximate quantum propagators, based on expansions of the exponential operators. These approximations have been tested for a number of systems, including comparison with the numerically exact results of Ref 38 for the rate in a double well potential, with satisfying results. [Pg.27]

We present in Section 2 the formalism giving the equations for the reduced density operator and for competing instantaneous and delayed dissipation. Section 3 presents matrix equations in a form suitable for numerical work, and the details of the numerical procedure used to solve the integrodiffer-ential equations with the two types of dissipative processes. In Section 4 on applications to adsorbates, results are shown for quantum state populations versus time for the dissipative dynamics of CO/Cu(001). The fast electronic relaxation to the ground electronic state is shown first without the slow relaxation of the frustrated translation mode of CO vibrations, for comparison with previous work, and this is followed by results with both fast and slow relaxation. In Section 5 we comment on the general conclusions that can be reached in problems involving both vibrational and electronic relaxation at surfaces. [Pg.365]

Speed of Analysis. The speed with which many immunochemical analyses can be completed illustrates a major advantage of immunochemical procedures. Immunochemical assays are most time and cost effective when the sample load is large. Parker (4) estimated that a single technician could perform 100-5000 radioimmunoassays per day with little or no assay automation in comparison to 20-40 GLC assays (3). Numerous inexpensive systems are available to decrease analysis time. These systems may include solid phase separation techniques, automatic dispensers, test tube racks which will fit directly into a centrifuge and/or scintillation counter, and data handling systems. Alternatively, there are fully automated systems based on RIA or ELISA which require very little operator attention and which handle 25-240 samples/hr. Gochman and Bowie (81) have outlined the basis of operation and summarized the features of automated RIA systems and extensive literature is available from the manufacturers. [Pg.345]


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Numerical Comparison

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