Specifically, we'll talk about ways of collecting information to characterize a problem, framing and re-framing that problem, coming up with a range of solutions and then gathering feedback to assess those solutions.
Specifically, we'll talk about ways of collecting information to characterize a problem space, discovering meaning in the data that allows us to frame and re-frame problems, generating a range of solutions and then gathering feedback to assess those solutions.
In "On the Ontological Mystery," Marcel characterized a mystery as a "problem that encroaches on its own data". The point is best understood by saying that, in the case of a mystery, the questioner is directly involved in the question and so is unable to separate from it in order to study it in an objective manner (and thereby seek an "objective" solution that would be accessible to everyone).
Not for nothing is this comedy characterized as a problem play.
Lead-based paint is largely characterized as a problem only if it is accessible and damaged, and then only if it is present at certain levels in the residence of a child with an elevated blood lead level.
While Green's function is a space time integral kernel which fully characterizes a linear problem, the Volterra series expansions involve a sequence of multi-variate time integral kernels (of convolution type for time-invariant systems).
In addition to semantic features characterizing a specific problem, production of an incorrect answer also depends on the semantic relationship between this incorrect answer and the correct result.
The size of the data set needed to characterize an engineering problem can be substantial, particularly as the problem increases in complexity.
The contributions are characterized by a problem-driven research and seek to develop bottom-up policy-oriented solutions, while taking into account global, EU-based and local perspectives and the shifting universes of EU migration, border and asylum policies.
The resulting nonlinear convex optimization problem is presented in a generalized formulation and then solved by an interior-point algorithm, which is characterized by a problem-tailored solution strategy, particularly suitable for application to large-scale engineering structures.
