Interplay Sample Clauses

Interplay. ‌ We note that there is an interplay between Xxxxxx schemes and CSEE: a certain “optimal” Xxxxxx scheme may reduce the number of multiplications the most, but may expose fewer common subexpressions than a “mediocre” Xxxxxx scheme. Thus, we need to find a way to obtain a Xxxxxx scheme that reduces the number of operations the most after both Xxxxxx and CSEE have been applied. Finding appropriate Xxxxxx schemes is not a trivial task, for at least three reasons. First, there are no known local heuristics. For the Travelling Salesman Problem (TSP), the distance between two cities can be used as a heuristic [62], and more specialised 1 The tree can be allocated at once, since a close upper bound to the number of nodes is known. variables‌ terms operations eval. time (s) res(7,4) 13 2561 29 163 0.001 res(7,5) 14 11 379 142 711 0.03 res(7,6) 15 43 165 587 880 0.13 res(9,8) 19 4 793 296 83 778 591 25.0 HEP(σ) 15 5716 47 424 0.008 HEP(F13) 24 105 058 1 068 153 0.4 HEP(F24) 31 836 009 7 722 027 3.0 HEP(b) 000 000 000 1 817 520 2.0 Table 1: The number of variables, terms, operations, and the evaluation time of applying a single Xxxxxx scheme and CSEE in seconds, for our eight (unop- timised) benchmark expressions. The time measurement is performed on a
Sample 1
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