Sentence examples for complexity approach from inspiring English sources

In this course we shall pursue this computational complexity approach, whose origins go back to Turing and von Neumann.

It takes a complexity approach to keep competing values and priorities and the effects of decisions on all of them in view — and not just for management, but equally for investors, analysts, and regulators.

Tests and comparisons of the new method with two traditional methods (Lempel Ziv complexity approach and Sample Entropy-Based approach) have shown that the IAE-based methode method introduced in this paper is reasonable and suitable for the complexity measurement of a set point signal in a control system.

Starting with a presentation of the "complexity approach" to economics, it goes on to provide a collection of applications to areas such as the analysis of market imperfections, risk assessment, non-linear dynamics, forecasting and highly irregular fluctuations.

nT = 4, nD = 2, and nR = 3. Figure 8 shows the PER performance of the proposed system with the reduced complexity approach.

While a complexity approach is fast enough for primary screening, it has also its limitation: it removes complex molecules that can be actually synthesized from already existing complex precursors.

Given the system complexity, approaches such as component extraction and the use of plant cell wall analogues are typically employed to enable the interpretation of experimental results.

Hence, in situations with limited computational resources or where the algorithms must be run quite frequently (due to, for example, high mobility), the low complexity approaches represent a practical solution with good performance.

Novel libraries of synthetic compounds are being developed to provide improved architectural complexity approaching that of natural products to serve as structural scaffolds for creating new antibiotics [14].

Over the past decade, solid tumors have increasingly been recognized as "organs" whose complexity approaches and may even exceed that of normal healthy tissues [ 3].

The key strength of reduced genome complexity approaches is that this form of ascertainment bias can be minimized by the genotyping-by-sequencing principle.