Parameters configurations

In the case of the preparation of pure [CeMIMJCl (purity > 99%), the evaluation of the actual experimental results and the outranking of the different solution candidates resulted in the following optimal synthesis prescription T = 100°C, t = 30 h, mim/ C6Hi3C1 = 1 1, cg[ i,ase = 4.6 molL , solvent free. This parameter configuration has been found to represent the best trade-off between EF, EHP and CF. 

KNIME provides a user-friendly interface to visually create workflows allowing a step-by-step data analysis flow. A node—as a single entity of such a workflow— provides a very confined analysis step with a set of parameter configurations. Workflows can branch at any point, which allows easily implementing multiple approaches. 

Numerical solution for resulting function fok is presented on Fig. 7. Being able to find numerical solutions for functions fik and f k for a given order parameter configuration A(t) one can find self-consistent order parameter configuration satisfying to Eq. (41) which is presented on Fig. 6. 

Figure 4.10 A pictorial illustration of splay vector order parameter configuration on a sphere with formation of two vortices at the north and south poles.

Box and Meyer (1986, 1993) provided Bayesian methods for obtaining posterior probabilities that effects are active see Chapter 11, Section 2, for more details. There followed a flurry of papers proposing new frequentist methods, giving refinements of the methods, and making empirical comparisons of the many variations. Hamada and Balakrishnan (1998) provided an extensive review of these methods, including a Monte Carlo-based comparison of the operating characteristics of the methods that is, a comparison of the power of the methods for a variety of combinations of effect values (parameter configurations). They found that comparison of methods is difficult for various reasons. For example, some... 

From empirical comparisons of various proposed methods of analysis of orthogonal saturated designs (Hamada and Balakrishnan, 1998 Wang and Voss, 2003), Lenth s method can be shown to have competitive power over a variety of parameter configurations. It remains an open problem to prove that the null case is the least favourable parameter configuration. 

Record version, any parameter configuration, and any configuration of environment. Verify operation against user requirements. 

Generally, widely distributed Off-The-Shelf (OTS) software is not considered to need Source Code Review if a reputable developer has produced it under an effective system of quality assurance and the product requires no more than an application parameter configuration. In most computer systems, therefore, Source Code Reviews are limited to custom (bespoke) software and configuration within OTS software products. 

In this context, it is interesting to note that it has been argued recently [88] that the (r) = 0 surfaces of order-parameter configurations, which minimize the free energy functional (16), are (often) periodic minimal surfaces. The four best known triply-periodic minimal surfaces G, D, P, and I— WP have been reproduced [88,89], and new candidates for minimal surfaces of high genus have been found [88]. 

It should be noted that the adjustment has always given a higher hkelihood to that obtained with original parameters configuration used to generate the data sample. 

The applications are compiled with Microsoft Visual Studio 2010 (using default release build optimization settings) and are executed on two different computers, both running Microsoft Windows. The first machine is a desktop computer with Intel Core 17-2600 CPU (4 cores, 2 x 32 kB LI cache and 256 kB L2 cache per core, 8 MB shared L3 cache) with 8 GB RAM. The second one is a laptop with Intel Core 2 Duo L7100 CPU (dual core, 2 x 32 kB LI cache per core and a shared 2 MB L2 cache) with 3 GB RAM. The various hardwares are expected to yield different memory system performance and, thus, different optimal parameter configurations. 

Complex operation and model opaque to end user optimal parameter configuration is data dependent cannot handle missing data computational cost quadratic with number of examples effectively nonparametric density estimators giving point predictions, with no confidences or distributions generated. 

Supply chain configuration is considered as a fixed input parameter. Configurations are evaluated under numerous scenarios describing supply chain external and internal characteristics. 

Molar volume in Manning s theory Molar volume of pure solvent s Configurational parameter Configurational parameter... 

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