Your English writing platform
Discover LudwigSuggestions(5)
Exact(16)
We formulate the master problem and the subproblem as follows.
Nevertheless, the detailed formulations of the master problem and subproblems are shown as follows.
First, it decomposes the original problem into a master problem and a corresponding sub problem.
We propose various ways to improve the Benders master problem and the feasibility cuts.
Benders decomposition method decomposes the original stochastic problem into two main parts: the master problem and the slave problem.
This is achieved by decomposing the master problem and solving only the much smaller sub-problems resulting from decomposition.
Similar(44)
This method alternates between DWD iterations and BD iterations, where DWD restricted master problems and BD primal problems yield a sequence of upper bounds, and BD relaxed master problems yield a sequence of lower bounds.
We have developed a multitree method which depends on iteratively solving a sequence of upper-bounding master problems and lower-bounding subproblems.
We propose a global bilevel decomposition algorithm based on Global Logic-Based Outer Approximation (GLBOA) by Trespalacios and Grossmann (2015) that involves the successive solution of master problems and reduced size subproblems.
It is important to note that since (P3) is a convex optimization problem, both master problem (CM) and sub-problems (IPCs) are also convex optimization problems [34].
The maximum order of constraints in the master problem is two, and they are calculated in parallel.
More suggestions(2)
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