Abstract
"Monotone" formulas, i.e. formulas using positive constants, additions and multiplications are investigated. Lower bounds on the size of monotone formulas representing specific polynomials (permanent, matrix multiplication, symmetric functions) are achieved, using a general, dynamic programming approach. These bounds are tight for the cases investigated. Some generalizations are suggested.
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© 1980 Springer-Verlag Berlin Heidelberg
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Snir, M. (1980). On the size complexity of monotone formulas. In: de Bakker, J., van Leeuwen, J. (eds) Automata, Languages and Programming. ICALP 1980. Lecture Notes in Computer Science, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-10003-2_103
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DOI: https://doi.org/10.1007/3-540-10003-2_103
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