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Typical examples are linear algebraic functions, with bounded inputs, and histograms [13].
Examples are linear interpolation, polynomial interpolation [7], DFT-based interpolation [8], moving window [9] and iterative Wiener filter [10].
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For example, there are linear smoothing filters and nonlinear smoothing filters.
According to [ 22], the examples of kernels are linear, polynomial, and radial basis function.
Examples are the linear models for predicting change in VL after 180 days of treatment.
Examples are the linear peptide cMBP-AOC-Cy5.5 [ 139] and the cyclic peptide GE137 (that also contains a Cy5-like dye) [ 140].
Examples of such descriptors are linear or atom centered fragments, topological torsions, pharmacophoric triplets and many others.
Examples of deterministic algorithms are linear programming (LP), convex programming, integer programming, quadratic programming, dynamic programming, nonlinear programming (NLP), and gradient-based (GB) and gradient-free (GF) methods.
Plentiful numerical examples are provided for linear advection, quasi-linear scalar hyperbolic conservation laws and gas dynamics and comparisons with other computational methods in the literature are discussed.
An example would be "linear regression" being counted if the software encountered the phrase "We used linear and logistic regressions…" but not "…linear trends were observed".
Numerical examples are presented for linear advection of discontinuities and development and transport of shocks in Burgers' equation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com