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The minimization was set to run for 10000 steps with 0.002 ps time step or until.
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After the whole system was set up, a series of energy minimizations and equilibrations was performed.
In minimization, the threshold of root mean square deviation (RMSD) of potential energy was set to 0.001 kcal·Å-1·mol-1.
For this reason, a quadratic nonlinear minimization problem is set up to minimize the decomposition error for a given finite order constraint.
Both pre- and post-process minimization steps were set as 100 and 50, respectively.
The objective function is set as the minimization of the total annual cost.
In the presented model, energy cost coefficient (ECC) is set as the minimization objective function, F, which is defined as the ratio between energy cost of intelligent building and the output energy of RESs.
Molecular parameters were set for maximum energy minimization and Amber12 liquid state.
Initially, the Flag is set to zero, and DuOpt starts with performing time minimization on epoch pairs.
A non-negative cost parameter, C, is set by the user and determines the weight of the error term in the minimization (Chang and Lin, 2011).
The first step is set on the 5,000 cycle steps performed in the manner of Steepest Descent algorithm for energy minimization.
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