Sentence examples for modular operator from inspiring English sources

Based on the three-level model of skilled operators, this paper proposes a modular Operator Support System (OSS).

Therefore, it could be of interest to exhibit and investigate such kind of representations, together with the associated spectral triples whose twist of the Dirac operator and the corresponding derivation arises from the Tomita modular operator.

We show that if G consists of eigenvectors of the modular operator Δφ with finite free Fisher information, then the centralizer Mφ is a II1 factor and M is either a type II1 factor or a type IIIλ factor, 0<λ≤1, depending on the eigenvalues of G. Furthermore, (Mφ)′∩M= C, Mφ does not have property Γ, and M is full provided it is type IIIλ, 0<λ<1.

We apply the modular operator % to map a large integer, the outcome of the hash function, to one of the available channel numbers with c of 11.

Baldwin and Clark [38] have identified different modular operators and analyzed their potential economic value.

The ordered multiplicative modular geometric operator is a generalized form of the ordered weighted geometric operator which has been designed incorporating the advantages of the geometric mean to deal with ratio judgments and the advantages of the ordered weighted averaging (OWA) operator to represent the concept of fuzzy majority in the process of information aggregation.

The aim of this paper is to investigate an ordered multiplicative modular geometric operator and its relevant properties.

Besides, the ordered multiplicative modular geometric operator can be seen as a symmetrized multiplicative modular aggregation function, characterized by comonotone multiplicative modularity.

It consists of four modular units: operator, source, signal processing, and application.

An efficient, modular, partitioned operator-splitting scheme is proposed to simulate solutions to the coupled, nonlinear FSI problem, without the need for sub-iterations at every time-step.

In this talk, we'll explore three ways of integrating compositional linguistic structure and learning: using language as a source of modular reasoning operators for question answering, as a scaffold for fast and generalizable reinforcement learning, and as a tool for understanding representations in neural networks.