Sentence examples for formulations for modeling from inspiring English sources

In this section, we briefly present the mathematical framework of the University of Texas Chemical Flooding Simulator, UTCHEM (Delshad et al. 1996) and formulations for modeling polymer rheology and injectivity.

These Boolean relationships can be effectively formulated as linear constraints using binary variables and matrices, which are more systematic and/or computationally efficient than previously suggested formulations for modeling GPR associations and integrating metabolic and regulatory models [ 13- 17].

Formulations for modelling tridirectional spatial ground motions at varying site conditions are first derived.

These developments also lead to an increased demand for tighter problem formulations for modelling for a given purpose, e.g. prediction.

This work uses the port-Hamiltonian systems formulation for modeling this experimental device.

PCLCO is a PC formulation for modeling the long-term stochastic behavior of dynamical systems exhibiting a periodic response, i.e. a limit cycle oscillation (LCO).

This article presents an efficient explicit dynamic formulation for modeling curved and twisted carbon nanotubes (CNT's) based on a recently-developed intrinsic continua description (i.e., the dynamic state given by curvatures, strains, and velocities only) [ Hodges, D.H. 2003.

This paper presents the application and the validation of the SPH numerical model SPHyCE, based on a standard Smoothed Particle Hydrodynamics formulation, for modeling an onshore oscillating water chamber, comparing results of amplification factor and phase lag with those obtained by a mesh-based RANS model.

Our primary contributions in this paper are (1) a formulation for modeling gait subspaces on the Grassmann manifold, (2) a framework to integrate supervised and unsupervised GE techniques in the Grassmann manifold, (3) a method to incorporate sparse representation in the learning algorithms, and (4) extensive experiment to corroborate the proposed approach.

We believe that our Q-Q formulation for modeling complex population dynamics provides a much more powerful tool for addressing such questions than paradigms that currently ignore interactions between the quantity and quality aspects of consumers in relation to the quantity and quality of the resources they exploit.

In this paper, we describe a novel formulation for modeling the probabilistic design problem, following the structural design paradigm and the corresponding assumptions described above.