In terms of computational effort, the results illustrate that solutions are obtained from a significantly restricted solution search space.
In a first step, we compute the conditionally restricted solution x ˜ ( t + h, w ) on every element Ω i and check the local truncation error of the projected restricted system (36).
The results obtained for the larger networks with unknown optima show that the quality of the solutions generated by the proposed algorithm is significantly higher with respect to other approaches and that these solutions are obtained from restricted solution search space.
There is only condition aα,n + 1 − aα,n − 1 = 0 (if not to restrict solutions by using the condition k = 0), which does not depend on any symmetry of the alpha-helix: whether it is the symmetry of the model or the symmetry of the real molecule.
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However, the excellent in vitro antiproliferative activities obtained for this class of compound suggest that adoptable conformations might be very restricted in solution as well, mainly as a result of electrostatic repulsion between the two carbonyl groups, and somewhere around the angle observed in the crystal.
The optimal input control factor values are no longer restricted to solution points composed of discrete experimental levels.
For example, proteins and larger RNA molecules cannot be crystallized if their tertiary structure has been unfolded; therefore, the range of crystallization conditions is restricted to solution conditions in which such molecules remain folded.
Moreover, addition of antioxidants is recommended [ 82, 114], but has to be restricted to extracted solutions and solutions ready for injection in the respective analytical system.
Very recently, Yang and Laine [3] present some studies on differential-difference analogues of Equation (1.2) showing that similar conclusions follow if one restricts the solutions to be of finite order.
