Exact(2)
The major disadvantages of this approach are that; firstly, most RA problems in CRN do not fit nicely into any standard optimisation model, and secondly, proving convexity of most non-linear programming problems can be herculean, if not impossible to achieve.
Secondly, proving correlation between an within-method outcome measure like self-estimated grade and the dimensions of the instrument has been questioned [ 9].
Similar(58)
Secondly, prove (B) ⇒ (C); namely, if system (2) is of global exponential stability in R n and ρ ( T ′ ( x ∗ ) ) < 1, then Lip ( T, R n ) < 1.
Secondly, we prove that the second inequality in (3.1) implies ν ≥ − 1.
Secondly, we prove that the second inequality in (3.11) implies r ≥ r 0. Let x ≥ 1 and y ≥ 1.
Secondly, we prove periodicity.
Secondly, we prove (ii).
Secondly, we prove (3.7).
Secondly, we prove that implies.
Secondly, we prove that, for all.
Secondly, we prove that the operator T is a contraction.
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