Sentence examples for methodology to approximate from inspiring English sources

"A Simple and Efficient Methodology to Approximate a General Non-Gaussian Stationary Stochastic Process by a Translation Process," Probabilistic Engineering Mechanics, Vol. 26, No. 4, pp. 511-519.

In this paper, a methodology to approximate a class of infinite dimensional models by a bond graph model is investigated.

Motivated by these facts, we propose an explicit, nonlinear, finite-difference methodology to approximate consistently the solutions of the model under investigation.

Upon the assumption that an accurate initial fuzzy model has already been designed, we introduce an effective methodology to approximate the similarity measure between fuzzy sets.

The paper describes a methodology to approximate these using new indicators obtained by summation in columns and rows of the technical coefficients (colsums sca j and rowsums sra i ).

Section 3 describes our proposed methodology to approximate the call price function using a Bernstein polynomial basis under the various inequality constraints arising from no-arbitrage conditions and derive the quadratic programming formulation of the estimation problem.

Our paper proposes a methodology to construct approximate models for multivariate stochastic dynamic simulations using kriging, by combining ideas from design of experiments and dynamic systems modeling.

Our paper presents a methodology to construct approximate models for multivariate stochastic dynamic simulations using GPM, by combining ideas from design of experiments, spatial statistics and dynamic systems modeling.

In this work a simple and effective methodology to derive an approximate discrete-time model free of delay of a continuous time-delayed systems describing recycle and dead-time processes is proposed.

In this study, predictive hydrocode simulations are coupled with approximate optimization (AO) methodology to achieve successive design automation for a projectile-Whipple shield (WS) system at hypervelocity impact (HVI) conditions.

This paper presents the methodology to develop a neural-networks-based model for approximate structural analysis.