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We introduce the notion of a transmission problem to describe a general class of problems where different dynamics are coupled in time.
Although the above ML models provide a powerful way of approaching a general class of problems, the eventual behavior of the prediction system cannot be directly understood.
This paper proposes a heuristic solution methodology to a general class of problems that is important because by setting the parameters, one can obtain different important problems including the traveling salesman problem and the assignment problem.
This estimator reduction concept is studied in [78] and applies to a general class of problems and error estimators.
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Numerous Computer Aided Tolerancing (CAT) tools have been proposed that address tolerance analysis problems in complex mechanical assemblies; however current tools do not accommodate a general class of problem where the functionality of a design is fundamentally dependent on the effects of external and internal forces.
Pan et al. [19] introduced a general nonlinear mixed set-valued inclusion framework for the over-relaxed A-proximal point algorithm based on the ( A, η ) -accretive mapping and studied the approximation solvability of a general class of inclusion problems using the generalized resolvent operator technique associated with an ( A, η ) -accretive mapping.
Based on these Pfaffian systems the Euler-Lagrange equations and the Hamilton-Jacobi equations for a general class of variational problems, which include the non-linear H2- and the H∞-problems, are derived.
This inference process applies to a general class of inference problem of broad applicability; however, our motivation comes from problems in systems biology and systems pharmacology.
We show that our techniques can be used to efficiently solve a more general class of problems in data analysis.
In the present study this technique, namely the flexibility function approach, is extended to a more general class of problems of free vibrations of multiply point supported plates.
Although here we solve the Laplace equation in two dimensions, the method is applicable to a more general class of problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com