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To solve the convergence problems of the LM algorithm, the effect of the seq alignment on the minimization process was evaluated.
Minimization process was pursued using simulated annealing and energy minimization with CNS [35].
The minimization process was carried out using CHARMM force field.
The minimization process was carried out using SYBYL package with the parameters mentioned earlier.
102– 108 The first docking method that considered continuous flexibility of interface side-chains during the global minimization process was based on internal coordinate mechanics (ICM).
This chi-square minimization process was carried out while simultaneously varying, and thereby optimizing, a range of other model parameters such as washout rate, particle deposition rates, photo decay rates, and intersection distance.
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Techniques to simplify the minimization process are developed.
The influences of the edges conditions, geometric and material parameters on the minimization process are illustrated.
The cost functional minimization process is realized by the conjugate gradient method via the finite element method solutions of the continuum direct, sensitivity, and adjoint problems.
In addition, an uncertainty minimization process is used to regulate indirectly the controller's output so that the overvoltage problem is treated in the design step.
The cost functional minimization process is realized through a non-linear conjugate gradient algorithm that utilizes finite element solutions of the continuum direct and sensitivity problems.
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