
doi: 10.1137/0208025
Exploiting the structure of the 2-dimensional sorting problem associated with the polynomial product has been the strategy in the design of certain algorithms which are faster for a large class of problems than those found in the literature. First a parallel is drawn between GEN–MULT and Horowitz’s SORT–MULT algorithm [A sorting algorithm for polynomial multiplication, J. Assoc. Comput. Mach., 22 (1975), pp. 450–462]. The former owes its better performance to the global incorporation of the structure. A geometric picture of the relative location of the product exponents enabled us to present a new approach, implemented by the SLICE algorithms, in which the product exponents are sorted in separate parallel slices. For a class of problems of moderate size and sparsity, which was investigated by Johnson [Sparse polynomial arithmetic, Proc. Eurosam Conf., SIGSAM Bull., 8 (1974), pp. 63–71] with the ALTRAN system, the simple SLICE–S algorithm gave a 1:4 improvement, timewise and relative to sorting effort, as ...
algorithms for polynomial multiplication, univariate polynomials, Analysis of algorithms and problem complexity, Symbolic computation and algebraic computation, computer algebra, Searching and sorting
algorithms for polynomial multiplication, univariate polynomials, Analysis of algorithms and problem complexity, Symbolic computation and algebraic computation, computer algebra, Searching and sorting
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