Sentence examples similar to property projection from inspiring English sources

It is probably helpful to see this problem in light of a basic disagreement that emerges in On Signs between the Epicureans and their opponents: that the Epicureans are mainly concerned, not with arriving, somehow or other, at true beliefs, but with how we can be certain that our beliefs are true, experience being the only secure foundation for any property-projection.

While local generalizations are all constructed by the detection of similarities, in the case of imperceptibles property-projection will rather be by analogy (§4, xxxvii 24-xxxviii 8, the DeLacys' unfortunate translation of homoiotês as 'analogy' notwithstanding): atoms, e.g., are analogous, but not identical, to macroscopic bodies in their property of solidity.

The following lemma provides a basic property of projection operator onto a closed convex subset Ω of (mathbb{R}^{l}).

Here, we show that the unique properties of the SNr microcircuit both intrinsic properties of projection neurons and the organization of functional activity combine to implement a potent feedback inhibitory circuit that can exert a divisive gain control effect on the basal ganglia output.

There is, therefore, a need for a mechanism that allows users to choose the property of projections that they are interested in, rapidly examine projections, make filtering, and locate interesting view panels to detect patterns, clusters, or outliers.

Next we will study a property of projections.

The first lemma provides some basic properties of projection onto C. Lemma 2.1Let P C denote the projection ofHontoC.

It follows from the properties of Projection operator that lim  sup n → ∞ x * - x n, x * = x * - x ′, x * ≤ 0. (3.5).

Using the properties of projection operator over uniformly prox-regular sets, we establish the convergence of an iterative method for SNVIP.

It follows from the properties of projection operator that limsup_{nrightarrowinfty} langle x_{n} - q, u -q rangle= langleoverline{x} - q, u -q rangleleq0.

The first lemma provides some basic properties of projection onto Ω. Lemma 2.1 Let G be a symmetric positive definite matrix and Ω be a nonempty closed convex subset of R l, we denote P Ω, G as the projection under the G-norm, i.e., P Ω, G [ v ] = argmin { ∥ v − u ∥ G ∣ u ∈ Ω }.