Second-stage feasibility

As first-stage feasible solutions in general do not necessarily have a feasible completion in the second-stage due to the implicit constraints in (SUB), the total set of feasible solutions for x is a subset of the first-stage feasible solutions. In this case, the program is called a 2S-MILP without relative complete recourse. For a 2S-MILP with relative complete recourse, each first stage feasible solution x has a feasible completion in the second-stage. 

The second stage is the proof of principle In this phase, we take the initial theoretical library idea and begin to apply chemistry experiments to validate experimental designs and potential library schemes at this stage, one also evaluates the method of library production (solid/solution/hybrid phases). In this phase, which is usually the longest phase in any library production process, we will perform the initial experiments, optimize the chemical yields and purities, modify the experiments to generate easily removable by-products, which can be removed by traditional parallel purification methods (i.e. SPE, Resin capture), and determine the most feasible route to the final product. 

When desalting brackish water far inland, the discharge of the concentrated brine may pose a serious problem. For the case where neither deep-well-injection nor a discharge into a river or canal is possible, a hybrid plant consisting of a reverse osmosis process as a first stage and a special crystallization process as a second stage seems to be feasible (Figure 6.27). 

The mechanism of the first and second stages seems likely to be as shown although other pathways may also be feasible. By the use of basic copper salts of 2-alkylbenzoic acids and the use of high boiling solvents such as nitrobenzene, 6-alkylsalicylic acids are obtained (ref.20). 

The biological relevance and feasibility of the results obtained with this connec-tionist approach are confirmed in a second stage of analysis with computer simulations of realistic, spiking neuron models presented in section 1.3. I will indicate the details of the models when they are introduced and will refer to previously published work where appropriate. 

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