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Row scaling

Also, in order to achieve convergence, it was necessary to perform column scaling followed by row scaling (see Chap. 15) of the jacobian matrix. Convergence could not be achieved, however, by use of variable scaling followed by row scaling (see Chap. 15). [Pg.289]

The enthalpy balance functions are given by Eq. (8-42). Use of the characteristics of homogeneous functions of degree zero and the approximations presented in Chap. 5 make it possible to regard the mixtures as ideal solutions in the partial differentiation of the G/s. This amounts to neglecting the dependencies of the enthalpies //7i, h on compositions. Column scaling followed by row scaling is recommended. It is anticipated that an internal loop would be required. This loop would be similar to the one used above in the N(r + 2) formulation in which the solution set / , is found on the basis of the assumed sets /,, and 7J. ... [Pg.295]

In the second method, row scaling is preceded by column scaling. Neither of these scaling procedures yields an optimum solution to the scaling problem as pointed out by Tewarson7 who also provides several references to more advanced scaling methods. [Pg.568]

Next row scaling is performed on the matrix JkDk. Let Ek denote the diagonal matrix which contains the reciprocals of the elements of the respective rows which are largest in absolute value, and let 60 denote the elements of... [Pg.569]

Figure 4.4 TEM images of thiol-organosilica nanoparticles prepared from MPMS as a function of time and MPMS concentration. MPMS nanoparticles prepared under condition A (a), condition B (b) and condition C (c) were observed after incubation periods of 1 day (upper row) and 3 days (lower row). Scale bars lOOOnm (Reproduced with permission from Ref [50] 2008, American Chemical Society.). Figure 4.4 TEM images of thiol-organosilica nanoparticles prepared from MPMS as a function of time and MPMS concentration. MPMS nanoparticles prepared under condition A (a), condition B (b) and condition C (c) were observed after incubation periods of 1 day (upper row) and 3 days (lower row). Scale bars lOOOnm (Reproduced with permission from Ref [50] 2008, American Chemical Society.).
STM has not as yet proved to be easily applicable to the area of ultrafast surface phenomena. Nevertheless, some success has been achieved in the direct observation of dynamic processes with a larger timescale. Kitamura et al [23], using a high-temperature STM to scan single lines repeatedly and to display the results as a time-ver.sn.s-position pseudoimage, were able to follow the difflision of atomic-scale vacancies on a heated Si(OOl) surface in real time. They were able to show that vacancy diffusion proceeds exclusively in one dimension, along the dimer row. [Pg.1681]

Since this approach maps all possible interactions to processors, no communication is required during force calculation. Moreover, the row assignments are completed before the first step of the simulation. The computation of the bounds for each processor require O(P ) time, which is very negligible compared to N (for N S> P). The communication required at the end of each step to update the position and velocity vectors is done by reducing force vectors of length N, and therefore scales as 0 N) per node per time step. Thus the overall complexity of this algorithm is. [Pg.489]

Table 1 describes the timing results (in seconds) for a system of 4000 atoms on 4, 8 and 16 nodes. The average CPU seconds for 10 time steps per processor is calculated. In the case of the force-stripped row and force-row interleaving algorithms the CPU time is reduced by half each time the number of processors is doubled. This indicates a perfect speedup and efficiency as described in Table 2. Tables 3, refibm table3 and 5 describe the timing results, speedups and efficiencies for larger systems. In particular. Table 4 shows the scaling in the CPU time with increase in the system size. These results are very close to predicted theoretical results. Table 1 describes the timing results (in seconds) for a system of 4000 atoms on 4, 8 and 16 nodes. The average CPU seconds for 10 time steps per processor is calculated. In the case of the force-stripped row and force-row interleaving algorithms the CPU time is reduced by half each time the number of processors is doubled. This indicates a perfect speedup and efficiency as described in Table 2. Tables 3, refibm table3 and 5 describe the timing results, speedups and efficiencies for larger systems. In particular. Table 4 shows the scaling in the CPU time with increase in the system size. These results are very close to predicted theoretical results.
The two main ways of data pre-processing are mean-centering and scaling. Mean-centering is a procedure by which one computes the means for each column (variable), and then subtracts them from each element of the column. One can do the same with the rows (i.e., for each object). ScaUng is a a slightly more sophisticated procedure. Let us consider unit-variance scaling. First we calculate the standard deviation of each column, and then we divide each element of the column by the deviation. [Pg.206]

Species such as carp, salmon, trout, channel catfish, and tilapia have been bred for many generations in captivity though they usually differ httle in appearance or genetically from their wild counterparts. A few exceptions exist, such as the leather carp, a common carp strain selectively bred to produce only one row of scales, and the Donaldson trout, a strain of rainbow trout developed over numerous generations to grow more rapidly to larger size and... [Pg.21]

To round off this section we note a few unusual applications of Polya s Theorem an application to telecommunications network [CatK75], and one to the enumeration of Latin squares [JucA76]. In pure mathematics there is an application in number theory [ChaC82], and one to the study of quadratic forms [CraT80], being the enumeration of isomorphism types of Witt rings of fields. Finally, we note a perhaps unexpected, but quite natural, application in music theory to the enumeration of chords and tone rows for an n-note scale [ReiD85]. In the latter paper it is shown that for the usual chromatic scale of 12 semitones there are 80 essentially different 6-note chords, and 9,985,920 different tone rows. [Pg.135]


See other pages where Row scaling is mentioned: [Pg.679]    [Pg.369]    [Pg.215]    [Pg.238]    [Pg.568]    [Pg.568]    [Pg.569]    [Pg.532]    [Pg.104]    [Pg.15]    [Pg.679]    [Pg.369]    [Pg.215]    [Pg.238]    [Pg.568]    [Pg.568]    [Pg.569]    [Pg.532]    [Pg.104]    [Pg.15]    [Pg.1075]    [Pg.1689]    [Pg.118]    [Pg.201]    [Pg.15]    [Pg.118]    [Pg.45]    [Pg.194]    [Pg.365]    [Pg.524]    [Pg.1859]    [Pg.435]    [Pg.18]    [Pg.15]    [Pg.275]    [Pg.168]    [Pg.75]    [Pg.70]    [Pg.80]    [Pg.972]    [Pg.983]    [Pg.356]    [Pg.84]    [Pg.242]   


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