We define the algorithmic complexity of a quantum state relative to a given precision parameter, and give upper bounds for various examples of states. We also establish a connection between the entanglement of a quantum state and its algorithmic complexity.

BACKGROUND Analysis of variance (ANOVA), change-score analysis (CSA) and analysis of covariance (ANCOVA) respond differently to baseline imbalance in randomized controlled trials. However, no empirical studies appear to have quantified the differential bias and precision of estimates derived from these methods of analysis, and their relative statistical power, in relation to combinations of lev...

This paper proposes a method which describes the information precision with a soft fusion model, instead of the traditional rigid fusion method. The method is divided into two steps, the pretreatment model and fusion center model. Each forms a relative independent model, and the two models have a progressive relationship. The former is used for consistency evaluation, data cleaning and invalid ...

A generalization of the original definition of rough sets and variable precision rough sets is introduced. This generalization is based on the concept of absolute and relative rough membership. Similarly to variable precision rough set model, the generalization called parameterized rough set model, is aimed at modeling data relationships expressed in terms of frequency distribution rather than ...

The muon (g − 2) experiment at the Brookhaven AGS achieved a relative precision on the muon anomalous magnetic moment, a μ , of ±0.54 ppm. The anomaly is sensitive to a wide range of physics beyond the standard model such as supersymmetry, and thus can help constrain the interpretation of any " new physics " found at the Large Hadron Collider. It is desirable to improve the precision of the exp...

A new parameter estimation algorithm based on improved particle swarm optimizer is proposed to improve the precision and recall rate of conditional random fields model. Aggregation degree of particle swarm is utilized to control particle swarm optimizer’s early local convergence, the relative change ratio of log-likelihood between iterations is employed to end its iterations, and the inertia fa...

The present study was conducted to compare precision and traditional agriculture by budgeting technique. Its statistical population consists of 210 experts in agricultural jihad organization of Qom province. The validity of Questionnaire as research tool ware confirmed by professors while its reliability was corroborated by Cranach’s alpha to 0.78-0.94 intervals. According to the findings, ther...

objective: the aim of the current research was to investigate the effectiveness of precision teaching on reading ability of students with learning disability. method: the research method was semi- experimental with pretest – posttest design. statistical population consisted of all the 3 rd grade elementary girl students with learning disability in city of isfahan during 1389-1390 academic years...