Sentence examples for generalized techniques from inspiring English sources

advanced co-simulation/multirate/monolithic techniques, combined with envelope/wavelet approaches; new generalized techniques in Uncertainty Quantification (UQ) for coupled problems, tuned to the statistical demands from manufacturability; enhanced, parametric Model Order Reduction techniques for coupled problems and for UQ.

In summary, our solutions are advanced co-simulation/multirate/monolithic techniques, combined with envelope/wavelet approaches; new generalized techniques in Uncertainty Quantification (UQ) for coupled problems, tuned to the statistical demands from manufacturability; enhanced, parametric Model Order Reduction techniques for coupled problems and for UQ.

Economics became more mathematical as a discipline throughout the first half of the 20th century, but introduction of new and generalized techniques in the period around the Second World War, as in game theory, would greatly broaden the use of mathematical formulations in economics.

After establishing the existence of an exact one-way equation for systems whose coefficients do not vary along the axis of integration, efficient approximations of the one-way operator are constructed by generalizing techniques previously used to create nonreflecting boundary conditions.

To resolve coherent/incoherent, distributed/compact, and multipole aerodynamic-sound sources with phased-array pressure data, a new source-detection algorithm is developed based on L1 generalized inverse techniques.

In this paper, we consider a generalized transformation technique to transform a multi-choice stochastic bi-level programming problem to an equivalent mathematical programming model.

Thermal transport measurements in multi-wall carbon nanotube (MWCNT) bundles at elevated temperatures up to 830 K are reported using a novel generalized electrothermal technique.

We give combinatorial proofs of two important special cases of our main result, and then generalize these techniques.

This paper constructs a centralized optimal solution for a power network model by generalizing recent techniques for the centralized optimal control of demand-driven production systems.

Indeed, an attempt to generalize the techniques [5] to nonlinear invariant subspace Problem 1.3 fails due to the lack of approximation step [5], Statement II.

We construct a family of essential representations of an arbitrary product system by generalizing some techniques introduced by M. Skeide and W. Arveson.