Ai Feedback
Exact(6)
Numerical results for a model problem are reported to demonstrate the efficiency of the sparse solver.
The stability and convergence properties predicted by the model problem are then compared to those obtained in the CHT computation.
Results from a model problem are used to show both spatial and temporal convergence rates and several test cases are presented to illustrate the performance of the algorithms.
The transport equations for the model problem are simplified using lubrication theory, and a convergent finite-difference method is formulated to obtain solutions to the simplified equation set.
The objectives of the first model problem are to maximize the load carrying capacity and minimize the mass of a graphite/epoxy laminate that is subjected to biaxial moments.
On the other hand, the h-extension observed convergence rates of the critical (buckling) load for the second model problem are slightly higher than the theoretical ones found in the literature (especially for polynomial order p = 1).
Similar(54)
The stability analysis for a model problem is discussed.
A model problem is considered and a finite difference discretization for that model is described.
In Section 2, the bilinear state space model problem is stated along with underlying assumptions.
The model problem is considered for a subsonic flow in a moving fluid.
A 2D model problem is used to illustrate the difficulties encountered.
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