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Minimal model

In order to obtain reliable models (minimize the probability of chance correlations) it is necessary to consider the ratio /Jdf/v ... [Pg.715]

The absolute-energy minima labeled as a in Figures 1.7a,b correspond to 0i —60° for the re monomer coordination and are sketched in Figures 1.4 and 1.6a, respectively. These models minimize the interactions between the growing chain (at 0i —60°) and the methyl of the propene monomer (re coordinated). Therefore, these are assumed to be preinsertion intermediates suitable for the re monomer primary insertions. [Pg.14]

Figure 13.7—An energy dispersive instrument and an example of a low resolution spectrum. Spectrometer with a low-power X-ray tube, representative of a number of instruments of that type (model Minimate, reproduced by permission of Philips). This model is controlled by a microcomputer (not shown). Figure 13.7—An energy dispersive instrument and an example of a low resolution spectrum. Spectrometer with a low-power X-ray tube, representative of a number of instruments of that type (model Minimate, reproduced by permission of Philips). This model is controlled by a microcomputer (not shown).
Kini RM, Evans HJ (1992) Comparison of protein models minimized by the all-atom and united atom models in the amber force field, J Biomol Structure and Dynamics, 10 265-279... [Pg.333]

Fig. 5 (a) Synergistic constitutional relationships observed at two length scales within (b) a model minimal self-replicating DCL. For clarity, the growth/division cycles of micellar structures are not represented (adapted from [11])... [Pg.41]

The existence of the model, minimizing (2.31), was demonstrated by Tikhonov and Arsenin (1977). We will denote this model as m ... [Pg.40]

In the case where a = 0, the parametric functional is equal to the stabilizing functional for which there exists a model minimizing its value. [Pg.44]

The diastereoselectivity of these reactions is consistent with product formation occurring through transition state 137, where the reactive conformation of the aldehyde in the transition state (corresponding to the normal Felkin-Anh model) minimizes steric interactions with the allylstannane as well as the 1,3-dipole interactions of the aldehyde and the /(-alkoxy group. The allylation reaction of the 2,3-syn aldehyde 138, however, with allyltri-n-butylstannanes 98, generates the anti-Felkin adducts 139 preferentially (Eq. (11.9)) [93], The stereochemistry of these reactions is consistent with product formation occurring preferentially through transition state 140, in which 1,3-dipole interactions of the aldehyde and the P-... [Pg.421]

To obtain initial estimates, an Emax model was fit to the data set in a na ive-pooled manner, which does not take into account the within-subject correlations and assumes each observation comes from a unique individual. The final estimates from this nonlinear model, 84% maximal inhibition and 0.6 ng/mL as the IC50, were used as the initial values in the nonlinear mixed effects model. The additive variance component and between-subject variability (BSV) on Emax was modeled using an additive error models with initial values equal to 10%. BSV in IC50 was modeled using an exponential error model with an initial estimate of 10%. The model minimized successfully with R-matrix singularity and an objective function value (OFV) of 648.217. The standard deviation (square root of the variance component) associated with IC50 was 6.66E-5 ng/mL and was the likely source of the... [Pg.310]

All models were fit using FOCE-I. Data are reported as estimate (standard error of the estimate).R denotes model minimized successfully but with R-matrix singularity. (A) denotes additive residual error term. (E) denotes exponential residual error term. [Pg.315]

The resulting modeling minimized successfully, again with R-matrix singularity, and an OFV of... [Pg.320]

For the implementation of results, one other very significant factor for success concerns the reward structure of a company. If an optimization model minimizes cost but the user is not rewarded directly for implementing a solution that minimizes cost, the solution results are unlikely to be used. If a model minimizes the number of drivers but the decision maker is not rewarded for using fewer drivers, he is unlikely to jeopardize the goodwill of the people working with him by making a big effort to change the status quo. [Pg.817]

The objective function of the model minimizes the total cost that includes setup cost at each production run, production cost, and inventory cost over T periods. First set of constraints imply that the inventory level at the end of period t is equal to the sum of inventory level of the previous period and production amount in period t minus the demand in the same period. [Pg.15]

MO and AD pictures, 923 modeL minimal of a molecule, 489 mode, donating, 914 modes, normal, e58, el05... [Pg.1033]

From the value of scenario severity index conse-qnence severity of disturbance is determined. It is obtained from disturbance conseqnence points and its probabilities. In this model minimal SSI is 0 point and maximal - 15 points. Intervals of SSI are determined Decision is accepted from SSI valne and its dependence on one of determined intervals of SSI value. Scenario severity in points depends on interval where SSI valne falls into. [Pg.1002]

Economic Order Quantity (EOQ) A fixed order quantity model that determines the amount of an item to be purchased or manufactured at one time. The model minimizes the combined costs of acquiring and carrying inventory. When production rates are closer to consumption rates, as in a synchronized supply chain, the production quantity approaches infinity, or continuous operation. [Pg.528]

In this GP model, the DM only specifies the goals/targets for each objective. The model minimizes the maximum deviation from the stated goals. For the supplier selection problem the Tchebycheff goal program becomes ... [Pg.338]


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See also in sourсe #XX -- [ Pg.133 ]




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