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These steps are modeled after problem solving processes introduced in lecture and may include questions which require students to read and interpret the problem statement, to draw and label a diagram that represents what is happening in the problem, to formulate and solve appropriate equations, and to relate the problem statement to real-world engineering scenarios.
SATlo-typer uses the Boolean satisfiability problem to formulate Haplotype Inference by Pure Parsimony.
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This approach is extended to multiple hypothesis testing (MHT) like problems to formulate the second belief function (MHT-SB).
In this paper, we employ the knapsack problem (KP) to formulate the problem of cooperative scheduling and radio resource management in vehicular networks for non-real time services.
Therefore, an important problem is to formulate a fractional variational principle compatible with the lattice approach.
The straightforward approach to solve this problem is to formulate it as an ordinary sparse coding task.
Another approach to the solution of the set cover problem is to formulate it as a binary linear program.
We employ two-dimensional-multi-choice knapsack problem (2D-MCKP) to formulate the problem of scheduling and allocating resources to V2I and V2V links.
Meanwhile, constrained optimal graph partition problem is used to formulate group partitioning, and a distributed implementation of CPA is illustrated.
The Frog problem asked students to formulate a claim based on the given evidence and to provide appropriate reasoning (warrant) to support the claim.
The Traveling Salesman Problem (TSP) is used to formulate the proposed problem.
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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