Sentence examples for problem can be characterized from inspiring English sources
In certain cases the boundary value problem can be characterized by means of a uniquely determined unbounded self-adjoint operator.
By minimizing a quadratic measure of the error derived from the output of the system, the design problem can be characterized by the proposed GA formulation.
Previous methods to solve the motion artifact problem can be characterized based on the data they operate on, whether they require additional hardware and what types of motion they can compensate.
The underlying paradigm for solving these problems can be characterized as systematic thinking.
Major international environmental problems can be characterized as stock externality phenomena.
In fact, some recent work has shown that optimality conditions of some vector optimization problems can be characterized by vector variational inequalities.
It is found that surface effect in these contact problems can be characterized only by an intrinsic length, i.e., the ratio of the bulk surface energy density to the bulk shear modulus of the indented material.
That is, although parents are aware of the humiliating situation their children have been through, which can cause among other problems, a low self-esteem, they do not try to solve such problem, what can be characterized as violence act against the child.
However, there are general agreements that insightful problem solving can be characterized by four salient features as follows: Mental impasse: There is a high probability that the problem solver experiences an impasse in the process of solving the problem, wherein the solver is mentally stuck on an unsuitable construct of the problem and fails to progress further [11].
The following theorem shows that the Levitin-Polyak well-posedness of problem (GSIMP) can be characterized by considering the non-compactness of approximate solution set.
It is shown that producing non-parametric process-specific optimal tuning rules for PID controllers leads to the problem that can be characterized as optimization under uncertainty.
