The complexity of bounded register and skew arithmetic computation

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Abstract

We study two register arithmetic computation and skew arithmetic circuits. Our main results are the following: For commutative computations, we present an exponential circuit size lower bound for a model of 2-register straight-line programs (SLPs) which is a universal model of computation (unlike width-2 algebraic branching programs that are not universal [AW11]). For noncommutative computations, we show that Coppersmith's 2-register SLP model [BOC88], which can efficiently simulate arithmetic formulas in the commutative setting, is not universal. However, assuming the underlying noncommutative ring has quaternions, Coppersmith's 2-register model can simulate noncommutative formulas efficiently. We consider skew noncommutative arithmetic circuits and show: An exponential separation between noncommutative monotone circuits and noncommutative monotone skew circuits. We define k-regular skew circuits and show that (k+1)-regular skew circuits are strictly powerful than k-regular skew circuits, where(equation present). © 2014 Springer International Publishing Switzerland.

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APA

Arvind, V., & Raja, S. (2014). The complexity of bounded register and skew arithmetic computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8591 LNCS, pp. 572–583). Springer Verlag. https://doi.org/10.1007/978-3-319-08783-2_49

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