Your English writing platform
Discover LudwigSuggestions(1)
Exact(5)
The singularity characteristic analyses for MEE V-notches are transformed into a problem of solving characteristic ordinary differential equations with variable coefficients.
The main difficulty is encountered when solving characteristic equations based on a combination of the parameters involved in the particular equations of temperature and energy.
Finally, numerical results for the performance of the finite element explicit approximate inverse preconditioning for solving characteristic two dimensional boundary value problems on a massive multiprocessor interface on a GPU are presented.
The main difficulty is encountered when solving characteristic equations based on a combination of the parameters involved in the particular equations of temperature and energy which may take asymptotic values for the specific phenomena addressed in this study.
The performance on a symmetric multiprocessor system, using Java multithreading, is investigated by solving characteristic arrow-type linear systems and numerical results are given, considering the parallel performance of the construction of the optimized approximate inverse and the explicit preconditioned generalized conjugate gradient square scheme.
Similar(55)
Using the method of upper and lower solutions for integral equations makes solving the characteristic equation redundant.
By solving the characteristic equations, d ϕ b 1 = d ψ b 2 = d u ^ 0 = d v ^ 0 = d p ^ β , (17).
Whilst these can be found in the literature they are generally calculated by numerically solving the characteristic equation.
Estimates that include the function (sigma(t)) are finer in comparison with the ones obtained by (k_{pm}), but they also require solving the characteristic equation (13).
By solving the characteristic complex eigenvalue problems of the system numerically, vibration frequencies and damping ratios of the system are obtained and verified.
Based on the optimal design of the support position, the minimum stiffness can be obtained numerically by solving a characteristic eigenvalue sub-problem.
Write better and faster with AI suggestions while staying true to your unique style.
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