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Tables first derivative approximations

Table A.3 First derivative approximations uj (ri) for atbitrarily spaced n points (n - 3,4) at positions xi. .. x , each point at an offset hi = x k) — x(i) with respect to the reference point at index i... Table A.3 First derivative approximations uj (ri) for atbitrarily spaced n points (n - 3,4) at positions xi. .. x , each point at an offset hi = x k) — x(i) with respect to the reference point at index i...
Another method for finding the end point is to plot the first or second derivative of the titration curve. The slope of a titration curve reaches its maximum value at the inflection point. The first derivative of a titration curve, therefore, shows a separate peak for each end point. The first derivative is approximated as ApH/AV, where ApH is the change in pH between successive additions of titrant. For example, the initial point in the first derivative titration curve for the data in Table 9.5 is... [Pg.291]

The second derivative of a titration curve may be more useful than the first derivative, since the end point is indicated by its intersection with the volume axis. The second derivative is approximated as A(ApH/AV)/AV, or A pH/AV. For the titration data in Table 9.5, the initial point in the second derivative titration curve is... [Pg.292]

Consider the exact definition of from Eq. (10.32). When atom fe is a sp carbon, we can safely neglect the second- and higher-order terms because the values are small, in favor of the simple approximation, Eq. (10.41). However, we must consider both (T- and rr-electron densities and their variations. The appropriate first derivatives dEf"/dNk)° are indicated in Table 10.3. [Pg.142]

Table A.l. rnfi (3.14) for multi-point first derivatives. The notation y[(n) means the approximation at point, i using n points nmnftered 1. .. n... Table A.l. rnfi (3.14) for multi-point first derivatives. The notation y[(n) means the approximation at point, i using n points nmnftered 1. .. n...
Double integration of the area under the first derivative reveals that 48 =i= 2% of the chemically determined copper (IS) is EPR detectable in frozen solution. Table I summarizes the experimental g and A values measured from the recorded spectra. A best fit of the EPR spectrum of oxidized ascorbate oxidase is obtained by computer simulation, using the high-frequency measurements at 35 GHz (28). The ratio of type 1 to type 2 copper is estimated by double integration of the first low-field line, which arises from the type 2 copper, at approximately 0.270 T (IS). Roughly 25% of the EPR-detectable copper in ascorbate oxidase is type 2, whereas 75% is blue type 1 copper. This ratio is confirmed by computer analysis (IS) and agrees with earlier results (28) (Figure 4). [Pg.232]

In Table3.9, the vibrational contributions for 11, 1, 2 and 3, calculated within the double-harmonic oscillator approximation are presented. The calculations were performed seminumerically, i.e. second derivatives of energy were calculated by differentiation of analytic first derivatives. Thus, the values of harmonic terms presented in Table 3.9 may serve as a reference point for numerical accuracy assessment of NR contributions discussed above. The relative error for [/uq ] ) term for 11 does not exceed 10%. It follows from Table3.9 that diagonal vibrational contributions to a... [Pg.73]

The table is used in much the same manner as are Eqs. 11-19 and 11-20 in the case of capillary rise. As a first approximation, one assumes the simple Eq. II-10 to apply, that is, that X=r, this gives (he first approximation ai to the capillary constant. From this, one obtains r/ai and reads the corresponding value of X/r from Table II-2. From the derivation of X(X = a /h), a second approximation a to the capillary constant is obtained, and so on. Some mote recent calculations have been made by Johnson and Lane [28]. [Pg.18]

The first quantitative studies of the nitration of quinoline, isoquinoline, and cinnoline were made by Dewar and Maitlis, who measured isomer proportions and also, by competition, the relative rates of nitration of quinoline and isoquinoline (1 24-5). Subsequently, extensive kinetic studies were reported for all three of these heterocycles and their methyl quaternary derivatives (table 10.3). The usual criteria established that over the range 77-99 % sulphuric acid at 25 °C quinoline reacts as its cation (i), and the same is true for isoquinoline in 71-84% sulphuric acid at 25 °C and 67-73 % sulphuric acid at 80 °C ( 8.2 tables 8.1, 8.3). Cinnoline reacts as the 2-cinnolinium cation (nia) in 76-83% sulphuric acid at 80 °C (see table 8.1). All of these cations are strongly deactivated. Approximate partial rate factors of /j = 9-ox io and /g = i-o X io have been estimated for isoquinolinium. The unproto-nated nitrogen atom of the 2-cinnolinium (ina) and 2-methylcinno-linium (iiiA) cations causes them to react 287 and 200 more slowly than the related 2-isoquinolinium (iia) and 2-methylisoquinolinium (iii)... [Pg.208]

Many complex ions, such as NH4+, N(CH3)4+, PtCle", Cr(H20)3+++, etc., are roughly spherical in shape, so that they may be treated as a first approximation as spherical. Crystal radii can then be derived for them from measured inter-atomic distances although, in general, on account of the lack of complete spherical symmetry radii obtained for a given ion from crystals with different structures may show some variation. Moreover, our treatment of the relative stabilities of different structures may also be applied to complex ion crystals thus the compounds K2SnCle, Ni(NH3)3Cl2 and [N(CH3)4]2PtCl3, for example, have the fluorite structure, with the monatomic ions replaced by complex ions and, as shown in Table XVII, their radius ratios fulfil the fluorite requirement. Doubtless in many cases, however, the crystal structure is determined by the shapes of the complex ions. [Pg.280]

Tables IV and V contain appropriate balance equations for nonisothermal free-radical polymerizations and copolymerizations, which are seen to conform to equation 2k. Following the procedure outlined above, we obtain the CT s for homopolymerizations listed in Table VI. Corresponding CT s for copolymerizations can be. obtained in a similar way, and indeed the first and fourth listed in Table VII were. The remaining ones, however, were derived via an alternate route based upon the definitions in Table VI labeled "equivalent" together with approximate forms for pj, which were necessitated by application of the Semenov-type runaway analysis to copolymerizations, and which will subsequently be described. Some useful dimensionless parameters defined in terms of these CT s appear in Tables VIII, IX and X. Tables IV and V contain appropriate balance equations for nonisothermal free-radical polymerizations and copolymerizations, which are seen to conform to equation 2k. Following the procedure outlined above, we obtain the CT s for homopolymerizations listed in Table VI. Corresponding CT s for copolymerizations can be. obtained in a similar way, and indeed the first and fourth listed in Table VII were. The remaining ones, however, were derived via an alternate route based upon the definitions in Table VI labeled "equivalent" together with approximate forms for pj, which were necessitated by application of the Semenov-type runaway analysis to copolymerizations, and which will subsequently be described. Some useful dimensionless parameters defined in terms of these CT s appear in Tables VIII, IX and X.
Equations (2.22) and (2.23) become indeterminate if ks = k. Special forms are needed for the analytical solution of a set of consecutive, first-order reactions whenever a rate constant is repeated. The derivation of the solution can be repeated for the special case or L Hospital s rule can be applied to the general solution. As a practical matter, identical rate constants are rare, except for multifunctional molecules where reactions at physically different but chemically similar sites can have the same rate constant. Polymerizations are an important example. Numerical solutions to the governing set of simultaneous ODEs have no difficulty with repeated rate constants, but such solutions can become computationally challenging when the rate constants differ greatly in magnitude. Table 2.1 provides a dramatic example of reactions that lead to stiff equations. A method for finding analytical approximations to stiff equations is described in the next section. [Pg.49]

The results of an antitumor screen are summarized in Table 8.1. The attrition table summarizes the results from 338,072 samples tested against tumor cells derived from soft tissue sarcomas. Given that the samples included one combinatorial collection with approximately 1.5 million compounds and that each natural product extract most likely contained 100 or more, the total number of compounds tested in this screen exceeded 5 million. As shown in the first column of Table 8.1, the samples were from 11 collections composed of single synthetics, compounds synthesized by combinatorial chemistries, and purified natural products and extracts. The natural products were derived from microorganisms (actinomyces and fungi), plants, and marine invertebrates. [Pg.156]

Tables 5.2 and 5.3 give characteristic shifts for nuclei in some representative organic compounds. Table 5.4 gives characteristic chemical shifts for protons in common alkyl derivatives. Table 5.5 gives characteristic chemical shifts for the olefinic protons in common substituted alkenes. To a first approximation, the shifts induced by substituents attached an alkene are additive. So, for example, an olefinic proton which is trans to a -CN group and has a geminal alkyl group will have a chemical shift of approximately 6.25 ppm [5.25 + 0.55(tra .s-CN) + 0.45(gew-alkyl)]. Tables 5.2 and 5.3 give characteristic shifts for nuclei in some representative organic compounds. Table 5.4 gives characteristic chemical shifts for protons in common alkyl derivatives. Table 5.5 gives characteristic chemical shifts for the olefinic protons in common substituted alkenes. To a first approximation, the shifts induced by substituents attached an alkene are additive. So, for example, an olefinic proton which is trans to a -CN group and has a geminal alkyl group will have a chemical shift of approximately 6.25 ppm [5.25 + 0.55(tra .s-CN) + 0.45(gew-alkyl)].
Examination of Table I reveals that the edge of dibenzothiophene is displaced from that of dibenzyl sulfide, the first inflection energy being some 0.6 eV higher for the former compound. From previous XANES data on dibenzothiophene and dibenzyl sulfide and physical mixtures of the two, it proved possible to identify each compound in the presence of the other (3b,8). Additionally by simply measuring the heights of the third derivative features at 2469.8 eV and 2470.4 eV relative to the base line in the model compound mixtures, a calibration was established which allowed an approximate estimate of the amounts of each component in hydrocarbon samples to be obtained. [Pg.128]


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See also in sourсe #XX -- [ Pg.281 ]

See also in sourсe #XX -- [ Pg.439 ]




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