Well, firstly, the National Trust were reluctant to let us film there, and secondly the river is completely different to how it was in 1941.
Secondly, let us consider the case j 0 = n + 1.
Secondly, let us consider the case of α≠1.
Secondly, let us consider the vertex x 2 ∈ V ( Γ ( S M ) ).
Secondly, let us show that (omega_{w}(x_{n})subset{ varOmega }).
Secondly, let us assume that condition (8) holds and let s ∈ ( t ∗, t ∗ ∗ ∗ ) be such that g ¨ ( s ) and x ¨ ( s ) exist.
Firstly, since (u_{0}(x in L^{infty}(Omega)) is suitably smooth, by the maximum principle, we have | u_{varepsilon}|leq| u_{0}|_{L^{infty}} leq M. (2.3) Secondly, let us make the BV estimates on (u_{varepsilon}).
Secondly, let us assume to have recovered, to a certain degree of accuracy, the samples α Ω 0 starting from the measurements collected as in (7), so as to have the best K0-term approximation of the sparse signal α.
Secondly, let us focus on specific features: the smallest distance values obtained in the case where h1≠h2 are d 4,1=4.8 10−1 and d 8,9=4.9 10−1, that is, for couples of visually close postures.
Secondly let us mention the so-called Al-Salam-Chihara polynomials { Q n ( x | a, b, q ) } n ≥ − 1 that are orthogonal with respect to the measure that for | a |, | b | < 1 has the density of the form (compare [[1], Eq. (14.8.2)]) f Q ( x | a, b, q ) = ( a b ) ∞ f h ( x | q ) φ h ( x | a, q ) φ h ( x | b, q ).
