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Derived equations have been solved by various numerical and analytical methods.
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This ordinary differential equation system can easily be solved by various numerical methods.
Therefore, these problems must be solved by various approximation and numerical methods.
The constructed model can be solved by various multi-criteria decision making techniques.
Numerous real-world problems related to ship design can be solved by various alternatives.
This problem can be solved by various numerical integration methods such as explicit Euler, implicit Euler, semi-Euler, verlet, midpoint, and n-order Runge-Kutta integration method [10].
In order to systematically obtain the controller gains, an effective procedure using linear matrix inequality based stabilisation criteria, which can be solved by various computation tools, is provided.
A parameterized characterization of the controllers is given in terms of the feasible solutions to the LMIs, which can be solved by various convex optimization algorithms.
The systems of indefinite and almost singular linear equations (A - σB) x = By are solved by various iterative conjugate gradient/Lanczos methods.
A solution to (27) provides a locally optimum power allocation policy { p j ∗ } j = 1 L. For small values of L and M, the above system of nonlinear equations can be solved by various optimization softwares.
For small values of L, the above L nonlinear equations (where one can evaluate F ′ (p j ) using the single infinite series representation (21)) can be solved by various optimization softwares.
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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