Use continuous variables for optimization

To be able to adjust the experimental conditions toward an optimum performance, all variables must be continuous. This means, that when we have run a screening experiment in which discrete variations were also included, we should use the result from the screening to detennine the settings of the discrete variables so that they define the most promising experimental system Solvent, catalyst, type of reagent, equipment etc. The optimization experiments are then run with this system. 

The fact that conditions for a quantitative conversion to the desired product have been established does not mean that an optimum method has been obtained. A quantitative conversion is, of course, an excellent result which may lead to an optimum method. 

A method will define all intermediary steps from the starting material to the isolated product. Therefore, the work-up procedure must also be considered and eventually be adjusted before an optimum method has been established. 

More detailed reference lists are given in the chapters which describe the methods. 

---