The phrase "a linear reduced" is not correct in written English.
It seems to be an incomplete expression and lacks clarity without additional context.
Example: "In mathematics, we often refer to a linear reduced form when discussing systems of equations."
Alternatives: "a reduced linear" or "a linear transformation".
For cases where the methodology does work, it is demonstrated that in general the results are more accurate for the nonlinear reduced order model as compared to results for a linear reduced order model.
The ACOP test facility was constructed with a linear reduced scale of 1/5 referring to the APR+ reactor.
From this non-linear model, a linear, reduced order and discretised model is derived and a model predictive controller (LMPC) is designed for the ESR system.
A linear reduced model is derived from a computational fluid dynamics model (CFD) using proper orthogonal decompositions (POD).
After correction for solute adsorption and slippage, respectively, the two sets of data coincide well and gave a common linear reduced viscosity plot down to extremely dilute concentration regime.
Local search moves reduce the number of days and iterated local search, hybridised with a linear solver, reduces the time window violations.
PCA, which assumes a linear relationship, reduces a multidimensional space into fewer dimensions, where the first dimension (i.e., the first principal component, PC1) explains the most variance.
We fashion a nonlinear integral model, which belongs to the class of quasi-linear viscoelastic models, for solid-like materials, which upon linearization reduces to a linear viscoelastic model.
Multicellular skin substitutes containing PVA borate networks display a linear cellular organization, reduced cellularity and the formation of a keratinized epidermis that resembles normal skin.
The first one is a linear descriptor reduced-order observer, which generates the exact estimation of state and sensor faults together with disturbances by decoupling them from the state vector without any supplementary design.
To create a ranking, the important question is whether there is a linear function that reduces this four-dimensional dataset to a one-dimensional set.
