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In current research, through conversion of critical depth equation to an objective function and then its minimization by using Particle Swarm Optimization algorithm, we calculate critical depth in horseshoe channels.
The Lamarckian genetic algorithm, the pseudo-Solis, and Wets methods were applied for minimization by using defaults [39].
In the second phase, the lowest-energy complex predicted by molecular docking was subjected to 1000 steps of energy minimization by using the perl script of minAmber MMTSB_tool for removing clashes and refining complex docked by using an Amber-based procedure [38].
The initial model was subsequently subjected to energy minimization by using the GROMOS force field (34), as implemented in Swiss-PdbViewer.
All models were subjected to energy minimization by using Yet Another Scientific Artificial Reality Application, ("YASARA" http://www.yasara.com/) and the implemented AMBER and NOVA force fields (ff).
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Huang and Zhang [13] developed a theory for the mixed l 2/l 1-minimization by using a concept called strong group sparsity and they demonstrated that the mixed norm minimization is very efficient for recovering strongly group-sparse signals.
Finally, we display the results of one example to confirm the validity of our conclusions, and we use some numerical experiments to show that we increase the efficiency of these algorithms designed for (l_{2,p} -minimization by using our resul_{2,p} -minimization
Filters W l, W m and W r are obtained through the following minimization problem by using a priori knowledge of Δ and σ Z 2 : minimize E W l P ̂ ( 1 : Q ) − H 1 : N l 2 minimize E W m P ̂ Q + 1 : N p − Q − H N l + 1 : N H − N r 2 minimize E W r P ̂ N p − Q + 1 : N p − H N H − N r + 1 : N H 2 (30).
As applications, we solve the convex programming problems and quadratic minimization problems by using the main theorems.
This is done either through simple, faster heuristic methods such as sequence symmetry minimization, or by using a full nearest-neighbor thermodynamic model, which is more accurate but slower and more computationally intensive.
The constructed model was subjected to an energy minimization process by using the conjugate gradient method for about 10000 iterations and 2 ns isothermal, constant volume MD simulation, with AMBER FF03, all hydrogen amino acid parameters, and the TIP3P water box.
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