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In particular, let's think of a discrete-time system that is described by a linear constant coefficient difference equation.
Longitudinal and vertical boom motion could be accurately described by a linear low-order model structure.
The increasing of chloride diffusion coefficient can be described by a linear function of frost cycles.
The one exception was bleomycin, where MN induction was consistently best described by a linear dose response relationship.
Each local subsystem of network is described by a linear time-varying parametrically and functionally uncertain differential equation.
The system dynamic is described by a linear, time-invariant model deduced from the Saint-Venant equations.
We consider systems that can be described by a linear part with a nonlinear perturbation, where the perturbation is parameterized by a vector of unknown, constant parameters.
The porosity P, is described by a linear function of wt fpf, and the compressive strength σcomp, by an exponential one.
The kinetics of mass transfer was well described by a linear driving force approximation (LDF) and estimated kinetic constants were around 1 min−1.
In the Ky approach the relation between water stress in a particular growth stage and the corresponding expected yield is described by a linear function.
In this paper we consider uniquely E-optimal and highly E-efficient designs described by a linear model with design matrices with elements in {−1,0,1}.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com