Journal of Inequalities and Applications

Table 1 The description of optimization problems and corresponding regularized parameters

From: General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization

	Sample size	Sample dimension	Sparse number	\(\mu _{1}\)	\(\mu _{2}\)
Group 1	100	1000	10	10⁻²	10⁻³
Group 2	300	3000	30	10⁻²	10⁻³
Group 3	500	5000	50	10⁻²	10⁻⁴
Group 4	700	7000	70	10⁻³	10⁻⁴

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