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In this paper we prove maximal regularity estimates in "square function spaces" which are commonly used in harmonic analysis, spectral theory, and stochastic analysis. In particular, they lead to a new class of maximal regularity results for both deterministic and stochastic equations in $L^p$-spaces with $1<p<\infty$. For stochastic equations, the case $1<p<2$ was not covered in the literature so far. Moreover, the "square function spaces" allow initial values with the same roughness as in the $L^2$-setting.
preprint / 2014