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The initial configurations were relaxed by energy minimization and the resulting equilibrium coordinates were restrained by harmonic potentials.
The command GfiTS deals with producing the minimization and the fitting.
This optimization goal is called makespan minimization, and the agents are often treated as machines.
The formulation is based on the variational principal of total energy minimization and the iterative extended Kantorovich method.
The quasi-Newton algorithm is used for the minimization, and the gradients are computed with an adjoint-state method.
In addition, the mathematical formulation of the fuel consumption minimization and the intrinsic problem of torque split are addressed.
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They considered total cost minimization and minimizing the maximum time of completion of the collecting return products as objective functions.
We repeat the squared distance minimization and update the parameters of the quadratic curve and surface by iterations until convergency.
On artificial problems, the proposed regularization subsumes the Total Variation minimization and recovers the expected decomposition.
We compare the performance of our weighted-l2-norm solution with that of the classic l2-norm minimization and also the l1-norm minimization via convex programming.
The classic test problems indicate that for the pure bending beam under single loading condition, the maximum stress minimization problem and the compliance minimization problem have equal optimal results, and the maximum displacement minimization problem and the compliance minimization problem do not have equal optimal results.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com