Sentence examples for error representation from inspiring English sources
Any general theory of measurement must come to grips with three basic problems: error; representation, which is the justification of number assignment; and uniqueness, which is the degree to which the kind of representation chosen approaches being the only one possible for the object or phenomenon in question.
Therefore, this new error representation can be used to design more efficient goal-oriented adaptive methodologies.
In this paper, we extend this error representation to the case of time-domain problems.
One dimensional (1D) numerical results show that upper bounds for the new error representation are sharper than the classical ones.
Recently, a novel error representation using (unconventional) pseudo-dual problems for goal-oriented adaptivity in the context of frequency-domain wave-propagation problems has been developed.
This scheme gives a formation error representation that is independent of the number of agents in the formation and the resulting control algorithm is scalable.
For our experiment, we selected the number of basis based on the minimum error of representation given various dictionary sizes.
On the other hand, we can also observe that the error of representation drops quickly with the increasing number of basis vectors in the dictionary.
All these considerations are generally concerned with minimizing various "errors" in making causal claims: error of representation, error in logic of reasoning or in the implied mechanism that underlie the causal relationship, error in estimating differences or relationships, error in extrapolation.
Following Johansen and Juselius [37] and Johansen [17], a vector of endogenous variables, x, that are integrated of order 1, is analysed using the vector error correction representation (VECM).
Precisely, to represent the particle with relatively little error, sparse representation usually requires a relatively large dictionary (with a trivial template) and relatively dense coefficients, which both will increase the solution complexity.
