Maximum simplicity rule

Carbon skeleton, functional group manipulation and stereochemical control. Rule of maximum simplicity... 

Although the three aspects are not strictly independent, sometimes, from a didactic point of view, and to simplify the synthetic analysis, they may be considered separately. However, their mutual interaction must be allowed for in some further stage of the analysis, in order to introduce the pertinent modifications into the process and to arrive at the simplest possible solution (see Diagram 1.1) this means that the maximum correlation must exist among the different individual synthetic operations, so that each one of them allows, facilitates or simplifies, in some way, all the other ones ("rule of maximum simplicity"). 

In terms of complexity, the "rule of maximum simplicity" means that the complexity of the intermediates throughout the synthetic sequence must be kept as near as possible to the complexity of the starting materials, Cg, and to that of the... 

The problem of creating the carbon-carbon (or carbon-heteroatom) bonds is not strictly separable from the problem of functional group manipulations. In fact, as has been stated by Ireland [2] "Synthetic planning, then, is a balance between the problem of framework constmction through the use of carbon-carbon bond-forming reactions and the problem of subsequent functional group manipulations" (Cf. the "rule of maximum simplicity"). 

Assumptions may be made or models adopted (often by implication) about a system being measured that are not consistent with reality. The selection of the method of data reduction may be partly on the basis of the model adopted and partly on the basis of features such as computation time and simplicity. Kelly classified data processing methods as direct, graphical, minmax, least squares, maximum likelihood, and bayesian. Each method has rules by which computations are made, and each produces an estimate (or numerical result) of reality. 

Mass Transport in the Absence of Water filtration The reviewed equations, as a rule, are related to mixing of two solutions of different composition and are tracking as the difference in their composition vanishes in the process of flow. For this reason difference in content of the same components in mixed solutions is of key importance. The component that is used to study the mixing of two waters of different composition is called indicator. Then, the mixing process is measured by the magnitude of its fractional mixture concentration a. (see equation 3.3). If the indicator i was present in composition of both mixed waters, then the initial value a. describes relative fraction from its difference, i.e., from AC = C - C, (see equation (1.3)). If the indicator is present in only one water, then AC. is equal to the initial (maximum) concentration indicator i. For simplicity presentations of the process usually review changes in the concentration of a component, which is absent in one of mixed solutions. 

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