Sentence examples for approaches of numerical from inspiring English sources

Exact(2)

The estimation of the model proposed by Alessie et al. (2004) requires approaches of numerical integration through simulation of the data through a BFGS algorithm.8 We apply the extension proposed by Devicienti and Poggi (2011) using the Wooldridge (2005) method for bivariate estimation because of more efficiency due to our large sample.9.9

This fully coupled process simulation model provides a powerful tool for understanding the fundamental physics involved during the Al-steel resistance spot welding process and provides a significant improvement in economy over prior approaches of numerical calculation in designing welding process parameters such as electrode geometry and weld schedule prior to costly physical testing.

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The above-mentioned issues can be addressed through the alternative approach of numerical modeling.

SPKF addresses the issues of EKF for nonlinear estimation problems by using the approach of numerical integration.

Benefits of using the corrugated parallel approach, in terms of yield, are shown applying a new alternative approach of numerical modeling.

The calculation of these indices goes along with a highly computational effort, hence monomial cubature rules are used as an efficient approach of numerical integration.

Being a complex problem, an integrated approach of numerical modeling coupled with geospatial techniques (such as remote sensing and geographic information system (GIS)) is required for simulation.

Given the approach of numerical simulation, a sensitivity analysis for all parameters was carried out, which specifically demonstrated that initial temperature is the most important parameter.

To better understand Lateglacial and Holocene climate change in the central Alps, glacial (moraines, polished bedrock) and periglacial (rock glacier) landforms were dated using a combined approach of numerical (cosmogenic 10Be) and relative (Schmidt-hammer, weathering rind thickness) dating techniques.

Mathematical models of structure or machineries are always different from the existing physical system, because the approach of numerical predictions to the behavior of a physical system is limited by the assumptions used in the development of the mathematical model.

Secondly, to perform a comparative evaluation of the degree of genetic polymorphism of DR regions in M. bovis populations based on a new approach of numerical expression referred to as Spoligotype Evolutionary Index (SEI).

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