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We investigate adaptive finite element methods for low Mach, steady, laminar combustion.
SPME-GCxGC ToF/MS iSPME-GCxGC ToF/MSed, straishtforeadilynd competitive with other methods for low level automatedof emerging contaminantstraightforward
Solvent based oil recovery is one of the fast growing methods for low emissions-intensity oil recovery from underground resources.
Numerical tests with stiff ODEs and DAEs of index 1 and 2 indicate that the method is competitive with other RK methods for low accuracy tolerances.
However, reliable methods for low flow are difficult to find and lack of hydrometeorological data have inhibited the development of such methods.
Many pulse width modulation (PWM) methods for low cost induction motor (IM) drives have been proposed to design high performance industrial motor drives.
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In the process of refining isotopic measurements, methods for low-contamination chemistry had to be developed, and it is significant that many such methods now in worldwide use resulted directly from work in geochronology.
Several methods for low-order approximate model estimation on the basis of closed-loop data exist in the literature, but fail to address the simultaneous estimation of low-order approximate models of both plant and disturbance dynamics.
This paper considers three different methods for low-order anti-windup (AW) compensator design and compares their application to a realistic flight control problem, where the dominant actuator nonlinearity is aileron rate saturation.
We describe a Lagrangian particle advection scheme which is intended for use in hybrid finite-volume (FV) large-eddy simulation/filtered density function (LES/FDF) methods for low-Mach flows, but which may also be applicable to unsteady probability density function (PDF) methods, direct numerical simulation (DNS) or any other situation where tracking fluid particles is of concern.
In developing unsteady-state methods for low-permeability systems, it is necessary to account for capillary pressure when obtaining the relative permeability curve.
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