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Detailed derivations can be found in Appendix.
Detailed derivations can be found in [54].
These derivations can be skipped upon the first reading.
Hence, some complicated derivations can be ignored in this paper.
The detailed derivations can be found in Appendix A.1.
Normalization: By successive applications of reductions, derivations can be transformed into normal forms which contain no detours.
Similar(41)
where the probability distribution of Dm,n(t) can be derived as (the detailed derivation can be found in Appendix 1) Pr D m, n t = i | A m A m + 1 ⋯ A n - 1 = R m, n L · Λ m t i i ! exp - R m, n L · Λ m t, (21).
The derivation can be found in [46].
Forms of deep and shallow derivation can be differentiated.
Details on the equation derivation can be found elsewhere [20].
Detailed derivation can be found in Section 4.3.
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