Sentence examples for efficient approximation for the from inspiring English sources

This paper proposes an efficient approximation for the local stresses in transversely isotropic plates under Hertzian contact loads.

With no polynomial-time efficient approximation for Max-Cut (unless P=NP), its asymptotic for a typical large sparse graph is of considerable interest.

Furthermore, in many real restoration methods it is also necessary to apply H T, so it is also convenient to have an efficient approximation for it.

In the high-frequency regime, the new artificial boundary condition can be used as an on-surface radiation condition for efficient approximation of the wave field.

Although the multiple ontology integration problem has similar optimal structures, it is not feasible to extend the optimal and efficient approximation solutions for the basic problem to efficiently handle multiple ontology integration.

We use efficient approximation of the Kalman Filter (KF) and adopt a dynamic point of view to the SR problem.

However, we envision efficient approximation of the Newton ploytope through topology-preserving dimensionality reduction methods.

This paper is the first attempt to successfully design efficient approximation algorithms for the single-machine maximum lateness minimization problem when jobs have different release dates and tails (or delivery times) under the no idle time assumption (i.e., the schedule cannot contain any idle time between two consecutive jobs on the machine).

A curse of dimensionality in the series expansion of the log-normal stochastic random field used to represent hydraulic conductivity provides a significant impediment to efficient approximations for large domains for all methods considered in this work, other than the Monte Carlo method.

This approach is based on a computationally efficient approximation to the conditional out-crossing rate for higher-dimensional vectors.

After they identified optimal structures for the problem, the authors proposed optimal and efficient approximation algorithms for integrating a pair of ontologies as well as multiple ontologies.