Your English writing platform
Discover LudwigExact(6)
We also confirm suggested limitations on the use of convex relaxations for the efficient solution of this problem.
We show that an elegant and computationally efficient solution of this inverse problem is obtained by formulating it as a PDE-constrained optimization problem which can be solved with a gradient-based descent method.
An iterative algorithm, DuOpt, is devised for efficient solution of this offline problem.
Hence, the condition (ii) of Theorem 4.10 is false, and is not a properly efficient solution of this problem.
Hence, the number of the efficient solution of this problem is infinite, and the proposed approach finds at least one of them in any iteration.
But for all, the condition (ii) of Corollary 4.8 satisfies (see Example 3.7 in [7]), and is an efficient solution of this problem, since is a convex set.
Similar(54)
To achieve this goal we combine two new ideas for an efficient solution of the problem.
To that effect, this work proposes a new algorithm for a computationally efficient solution of the SNLP problems.
In this paper, we construct an algebraic multigrid method suitable for efficient solution of the large scale discrete strain model.
A methodology for the efficient solution of the optimization process is presented.
They gave sufficient conditions for efficient solution and weakly efficient solution of the vector variational inequalities in finite dimensional spaces.
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