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This expands this approach by implementing a general knowledge models which in turn enables interpretation of solutions so that non-experts understand detailed procedures of optimization.
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Figure 8 A graphical interpretation of the solutions of (28).
The approach supports a faster implementation and a transparent interpretation of the solutions.
The software's graphical features were used to give a visual interpretation of the solutions.
In fact, the physical interpretation of these solutions is beyond the scope of this work.
In this work we investigate the physical meaning and interpretation of those solutions and if they satisfy important physical conditions (equilibrium, boundary and compatibility conditions).
A new physical interpretation of the solutions's behaviour far from the source is given, together with explicit expressions for the dominant components of the non-linear correction at sum and difference frequencies.
The physical interpretation of this solution is that f represents the shape of a wave that travels with speed c along the x-axis in the negative direction, while g represents the shape of a wave that travels along the x-axis in the positive direction.
A graphical interpretation of the solution on the Nyquist plane is presented.
Figure 1 Geometric interpretation of the solution of the optimization problem of (48).
A simplified graphical interpretation of the solution to this equation is shown in Figure 8.
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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