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Optimization graphical methods

As with the case for water minimization, the graphical methods used for effluent treatment and regeneration have some severe limitations. As before, multiple contaminants are difficult to handle, constraints, piping and sewer costs, multiple treatment processes and retrofit are all difficult to handle. To include all of these complications requires an approach based on the optimization of the superstructure. [Pg.616]

Part 2 is devoted to the foundations of the mathematical apparatus of the angular momentum and graphical methods, which, as it has turned out, are very efficient in the theory of complex atoms. Part 3 considers the non-relativistic and relativistic cases of complex electronic configurations (one and several open shells of equivalent electrons, coefficients of fractional parentage and optimization of coupling schemes). Part 4 deals with the second-quantization in a coupled tensorial form, quasispin and isospin techniques in atomic spectroscopy, leading to new very efficient versions of the Racah algebra. [Pg.454]

In principle, all methods can be adapted to include multi-parameter optimization, but graphical methods are then no longer possible. [Pg.233]

Integrated forms of the simple mass-action rate functions produce linear equations that are easily tested by graphical methods. The advantage of piu ameter optimization methods is that the computer programs can be writ-Icn lo generate statistics for a more quantitative estimation of goodness-of-I ii rather than the visual estimation that graphical methods provide. [Pg.49]

Apply the McCabe-Thiele graphical method to determine the number of equilibrium stages required for a given separation and the optimal location along the cascade for introduction of the feed. [Pg.330]

Making use of the graphical method it is practically impossible to chose optimal parameters of the probe, when simultaneously with a decrease of the signal from the borehole and the invasion zone we can provide a maximal signal from more remote parts of the formation. [Pg.393]

Proceed with the Turbochrom 4 Tutorial and create a method using QuickStart. Inject a lOO-ppm test mix reference standard. Optimize the method using the Graphic Editor. Develop the calibration and report format seetions of your method. Establish a three-point calibration for DMP only between 10 and 100 ppm (inject from low concentration to high) and prepare an ICV run the ICV in triplicate. [Pg.493]

Critical band method The same development is adopted to determine the retention models for all solutes. Below every retention surface it is possible to determine a forbidden zone (critical band) any solute whose retention would fall into a critical band would interfere with the compound considered with a resolution value (Rs) lower than a threshold value. The separation with Rs value higher than the threshold value is achieved at a composition for which none of the critical bands overlap. This is a graphical method for the optimization of a single parametei such as the composition of a binary mobile phase or of a ternary mobile phase constituted of mixtures of two isoeluotropic binary mobile phases. [Pg.2558]

Iterative methods are interpretive methods in which new experiments can be added to the small number of starting experiments in order to refine the surface retention for all the solutes, and to predict more accurately the optimum location in the parameter space. For single-parameter optimization both graphical and mathematical methods can be used, but for multiparameter optimization computerized methods are necessary. [Pg.2559]

A qualitative analysis of the features that play relevant roles in RD design result in the definition of an integrated strategy. This approach -termed multiechelon approach and extensively described in chapter 4- combines systematically the capabilities and complementary strengths of available graphical and optimization-based methods. [Pg.42]

The amount of resources required for each methodology is directly dependent on their complexity (c/. table 3.2). Thus, as optimization-based methods are more sophisticated than graphical methods, they require far more significant effort, especially in modeling. [Pg.82]


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